330 20 16488 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kohli, Amit; Kumarihami Rekogama, Kariyapperuma Mudiyanselage Keshika Erandi; Bodasingh, Lokeswar Rao; Ananthan, Sriram; Manickam, Thirupathi; Thangam, Dhanabalan Title A name given to the resource Technological advancements and challenges in food supply chain management: a scientometric analysis Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived British Food Journal;Volume;127;Issue;9;pp.3303-3324 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/BFJ-09-2024-0944" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/BFJ-09-2024-0944</a> <a href="https://www.scopus.com/pages/publications/105008407984?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105008407984?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kohli A., University Canada West, Vancouver, Canada; Kumarihami Rekogama K.M.K.E., Department of Business Administration, University Canada West, Vancouver, Canada; Bodasingh L.R., Department of MBA, University Canada West, Vancouver, Canada; Ananthan S., Department of MBA, Yorkville University, Fredericton, Canada; Manickam T., Department of Professional Studies, Christ University, Bengaluru, India; Thangam D., Presidency Business School, Presidency College, Bangalore, India Description An account of the resource [No abstract available] Subject The topic of the resource Digitalisation; Food supply chain; Management; Solutions; Technological Publisher An entity responsible for making the resource available Emerald Publishing Relation A related resource ISSN: 0007070X; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Khaki on Screen: Understanding the Representation of Cops in Malayalam Cinema Description An account of the resource [No abstract available] Creator An entity primarily responsible for making the resource Koickakudy M.J. Source A related resource from which the described resource is derived Quarterly Review of Film and Video Publisher An entity responsible for making the resource available Routledge Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/10509208.2023.2242065" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/10509208.2023.2242065</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166653809&doi=10.1080%2F10509208.2023.2242065&partnerID=40&md5=6fde5ac19b418ef0e8c8b1a2ee6fb5e3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166653809&doi=10.1080%2f10509208.2023.2242065&partnerID=40&md5=6fde5ac19b418ef0e8c8b1a2ee6fb5e3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 10509208 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Koickakudy M.J., Department of Media Studies, CHRIST (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Memes as multimodal ensemble Subject The topic of the resource memetics; modal ensemble; multimodality; political communication Description An account of the resource Memes have now become a common medium of communication. There are multiple ways memes are considered in academia. Semiotics offers information on how the media and modes that memes consist of can be interpreted and how the characteristics of semiotic resources apply to memes. Drawing from a pool of memes collected during the Kerala assembly election in 2021, this research argues that certain memes need to be categorised as multimodal ensemble. Different modalities play different roles meaning construction, and they also collaborate with each other for a uniform purpose. By comparing existing memes defined in academia and multiple methodologies to analyse memes, the paper puts forth a framework to analyse memes. 2023 De Gruyter Mouton. All rights reserved. Creator An entity primarily responsible for making the resource Koickakudy M.J.; Karakunnel M.T. Source A related resource from which the described resource is derived Multimodal Communication, Vol-12, No. 3, pp. 223-243. Publisher An entity responsible for making the resource available De Gruyter Mouton Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1515/mc-2023-0052" target="_blank" rel="noreferrer noopener">https://doi.org/10.1515/mc-2023-0052</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178021374&doi=10.1515%2Fmc-2023-0052&partnerID=40&md5=17329460d9660dd682587778bd812b91" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178021374&doi=10.1515%2fmc-2023-0052&partnerID=40&md5=17329460d9660dd682587778bd812b91</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22306579 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Koickakudy M.J., CHRIST (Deemed to be University), Hosur Main Road, Bhavani Nagar, S.G. Palya, Karnataka, Bangalore, 560029, India; Karakunnel M.T., CHRIST (Deemed to be University), Hosur Main Road, Bhavani Nagar, S.G. Palya, Karnataka, Bangalore, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Koickakudy, Mitul Joseph Title A name given to the resource Khaki on Screen: Understanding the Representation of Cops in Malayalam Cinema Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Quarterly Review of Film and Video;Volume;42;Issue;3;pp.729-745 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/10509208.2023.2242065" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/10509208.2023.2242065</a> <a href="https://www.scopus.com/pages/publications/105003380323?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105003380323?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Koickakudy M.J., Department of Media Studies, CHRIST (Deemed to be University), Bangalore, India Description An account of the resource [No abstract available] Publisher An entity responsible for making the resource available Routledge Relation A related resource ISSN: 10509208; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Koickakudy, Mitul Joseph Title A name given to the resource Memes as ensemble of illocutionary acts Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Language and Semiotic Studies;Volume;12;Issue;1;pp.67-90 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1515/lass-2025-0003" target="_blank" rel="noreferrer noopener">https://doi.org/10.1515/lass-2025-0003</a> <a href="https://www.scopus.com/pages/publications/105013892701?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013892701?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Koickakudy M.J., Department of Media Studies, CHRIST (Deemed to be University, Central Campus, Room 910, Central Block, Bangalore, 560028, India Description An account of the resource As digital communication continues to shape discourse, memes have emerged as a potent tool for conveying messages. Previous studies on internet memes have focused on various aspects such as humor generation, speech acts, and political communication. Although there are studies on speech acts and memes, research specifically examining speech acts within subcultures is scarce. This paper aims to fill that gap by examining the illocutionary acts in political memes within a subculture. To understand how illocutionary acts function in memes, 50 political memes that appeared during the Kerala state assembly election were analyzed using the framework of speech acts. The analysis revealed that memes often contain multiple illocutionary acts. Additionally, it was observed that a single meme can encompass several illocutionary acts simultaneously. This study highlights the complexity and richness of political memes as a form of communication within subcultures, demonstrating how they can convey layered and multifaceted messages through the use of illocutionary acts. 2025 the author(s), Subject The topic of the resource illocutionary acts; memes; political memes; speech acts Publisher An entity responsible for making the resource available Walter de Gruyter GmbH Relation A related resource ISSN: 2096031X; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource online https://archives.christuniversity.in/files/original/1466e344ad6d61c288ed6f1a998f1aa8.pdf c40f5e7b20599dbc899bd0a210d29065 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource MASTERS Masters' Dissertation Masters Dissertation Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Ranjith cinemas - An episteme that create discourse on class, caste and religion / Subject The topic of the resource Media Studies Description An account of the resource Films are an important form of mass communication in India today. Apart from being mode of entertainment, films also shape the ideology in the mind of viewers because cinema is an ideological apparatus by nature of its very seamlessness. The audience do not see how the cinema creates ideology it invisibly renders and naturalizes it. Creator An entity primarily responsible for making the resource Koickakudy, Mitul Joseph. - 1537113 Source A related resource from which the described resource is derived Master of Arts in Media and Communication Studies Publisher An entity responsible for making the resource available CHRIST (Deemed To Be University) Date A point or period of time associated with an event in the lifecycle of the resource 2017-02-03 Contributor An entity responsible for making contributions to the resource Department of Media Studies Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Masters Dissertation Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Stirling number of the fourth kind and Lucky partitions of a finite set Subject The topic of the resource Bell number; Lucky partition; Stirling number of the fourth kind; Stirling number of the second kind Description An account of the resource The concept of Lucky k-polynomials and in particular Lucky ?polynomials was recently introduced. This paper introduces Stirling number of the fourth kind and Lucky partitions of a finite set in order to determine either the Lucky k- or Lucky ?-polynomial of a graph. The integer partitions influence Stirling partitions of the second kind. 2021 Azarbaijan Shahid Madani University. Creator An entity primarily responsible for making the resource Kok J.; Kureethara J.V. Source A related resource from which the described resource is derived Communications in Combinatorics and Optimization, Vol-6, No. 2, pp. 211-219. Publisher An entity responsible for making the resource available Azarbaijan Shahid Madani University Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22049/CCO.2020.26895.1158" target="_blank" rel="noreferrer noopener">https://doi.org/10.22049/CCO.2020.26895.1158</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106005357&doi=10.22049%2FCCO.2020.26895.1158&partnerID=40&md5=b78d09cde803336284dc46fc867bba39" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106005357&doi=10.22049%2fCCO.2020.26895.1158&partnerID=40&md5=b78d09cde803336284dc46fc867bba39</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25382128 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kok J., City of Tshwane, South Africa; Kureethara J.V., Department of Mathematics, Christ University, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A note on perfect lucky k-colourable graphs Subject The topic of the resource Lucky k-polynomial; Lucky ?-polynomial; Perfect Lucky k-colouring Description An account of the resource This paper presents the notion of perfect Lucky k-colouring. Basic conditions for a perfect Lucky k-colourable graph are presented. Application thereof is then presented by obtaining the Lucky 4-polynomials for all connected graphs G on six vertices with ten edges. The chromatic number of these connected graphs is ?(G) = 3 or 4. For k = max{?(G): 3 or 4g = 4, it is possible to find Lucky 4-polynomials for all graphs on six vertices and ten edges. The methodology improves substantially on the fundamental methodology such that, vertex partitions begin with Lucky partition forms immediately. Finally, further problems for research related to this study are presented. 2020, International Scientific Research Publications. All rights reserved. Creator An entity primarily responsible for making the resource Kok J.; Kureethara J.V. Source A related resource from which the described resource is derived Journal of Mathematics and Computer Science, Vol-21, No. 3, pp. 192-197. Publisher An entity responsible for making the resource available International Scientific Research Publications Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22436/jmcs.021.03.03" target="_blank" rel="noreferrer noopener">https://doi.org/10.22436/jmcs.021.03.03</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085048819&doi=10.22436%2Fjmcs.021.03.03&partnerID=40&md5=9d074ab326abe12e4f6fc9ecbc63c6cc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085048819&doi=10.22436%2fjmcs.021.03.03&partnerID=40&md5=9d074ab326abe12e4f6fc9ecbc63c6cc</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 2008949X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kok J., City of Tshwane, South Africa; Kureethara J.V., CHRIST (Deemed to be a University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Chromatic completion number Subject The topic of the resource Bad edge; Chromatic completion graph; Chromatic completion number; Sum-term partition Description An account of the resource The well known concept of proper vertex colouring of a graph is used to introduce the construction of a chromatic completion graph and determining its related parameter, the chromatic completion number of a graph. The chromatic completion numbers of certain classes of cycle derivative graphs and helm graphs are then presented. Finally, we discuss further problems for research related to this concept. 2020 the author(s). Creator An entity primarily responsible for making the resource Kok J.; Mphako-Banda E.G. Source A related resource from which the described resource is derived Journal of Mathematical and Computational Science, Vol-10, No. 6, pp. 2971-2983. Publisher An entity responsible for making the resource available SCIK Publishing Corporation Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.28919/jmcs/5028" target="_blank" rel="noreferrer noopener">https://doi.org/10.28919/jmcs/5028</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095949030&doi=10.28919%2Fjmcs%2F5028&partnerID=40&md5=6284e714dcfc62651904216560337349" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095949030&doi=10.28919%2fjmcs%2f5028&partnerID=40&md5=6284e714dcfc62651904216560337349</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 19275307 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kok J., Department of Mathematics, CHRIST University, Bangalore, India; Mphako-Banda E.G., Department of Mathematics, University of Witwatersrand, Johannesburg, South Africa Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Tattooing and the Tattoo Number of Graphs Subject The topic of the resource colour-brushes; friendship graph; J 9-graphs; Joost graph; primary colour; tattoo number; Tattooing of graphs Description An account of the resource Consider a network D of pipes which have to be cleaned using some cleaning agents, called brushes, assigned to some vertices. The minimum number of brushes required for cleaning the network D is called its brush number. The tattooing of a simple connected directed graph D is a particular type of the cleaning in which an arc are coloured by the colour of the colour-brush transiting it and the tattoo number of D is a corresponding derivative of brush numbers in it. Tattooing along an out-arc of a vertex v may proceed if a minimum set of colour-brushes is allocated (primary colours) or combined with those which have arrived (including colour blends) together with mutation of permissible new colour blends, has cardinality greater than or equal to dG+v. 2020 World Scientific Publishing Company. Creator An entity primarily responsible for making the resource Kok J.; Naduvath S. Source A related resource from which the described resource is derived Journal of Interconnection Networks, Vol-20, No. 2 Publisher An entity responsible for making the resource available World Scientific Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1142/S0219265920500061" target="_blank" rel="noreferrer noopener">https://doi.org/10.1142/S0219265920500061</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092326254&doi=10.1142%2FS0219265920500061&partnerID=40&md5=8053d8926695bc7ebc43a48ee00d84bb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092326254&doi=10.1142%2fS0219265920500061&partnerID=40&md5=8053d8926695bc7ebc43a48ee00d84bb</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access Relation A related resource ISSN: 2192659 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kok J., Department of Mathematics, CHRIST (Deemed to Be University), Bangalore, 560029, India; Naduvath S., Department of Mathematics, CHRIST (Deemed to Be University), Bangalore, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Some new results on proper colouring of edge-set graphs Subject The topic of the resource Chromatic colouring; Edge-set graph; Rainbow neighbourhood; Rainbow neighbourhood number Description An account of the resource In this paper, we present a foundation study for proper colouring of edge-set graphs. The authors consider that a detailed study of the colouring of edge-set graphs corresponding to the family of paths is best suitable for such foundation study. The main result is deriving the chromatic number of the edge-set graph of a path, Pn+1, n ? 1. It is also shown that edge-set graphs for paths are perfect graphs. 2020 the author(s). Creator An entity primarily responsible for making the resource Kok J.; Naduvath S. Source A related resource from which the described resource is derived Journal of Mathematical and Computational Science, Vol-10, No. 3, pp. 544-553. Publisher An entity responsible for making the resource available SCIK Publishing Corporation Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.28919/JMCS/4464" target="_blank" rel="noreferrer noopener">https://doi.org/10.28919/JMCS/4464</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083046637&doi=10.28919%2FJMCS%2F4464&partnerID=40&md5=f48ec954fb9933c1cf3ba2aed926c2a4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083046637&doi=10.28919%2fJMCS%2f4464&partnerID=40&md5=f48ec954fb9933c1cf3ba2aed926c2a4</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 19275307 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kok J., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, India; Naduvath S., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource On the rainbow neighbourhood number of set-graphs Subject The topic of the resource i-max number; Maximax independence; Maximum proper colouring; Rainbow neighbourhood; Rainbow neighbourhood number; Set-graph Description An account of the resource In this paper, we present results for the rainbow neighbourhood numbers of set-graphs. It is also shown that set-graphs are perfect graphs. The intuitive colouring dilemma in respect of the rainbow neighbourhood convention is clarified as well. Finally, the new notion of the maximax independence, maximum proper colouring of a graph and a new graph parameter called the i-max number of G are introduced as a new research direction. 2020 the author(s). Creator An entity primarily responsible for making the resource Kok J.; Naduvath S. Source A related resource from which the described resource is derived Journal of Mathematical and Computational Science, Vol-10, No. 2, pp. 394-402. Publisher An entity responsible for making the resource available SCIK Publishing Corporation Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.28919/jmcs/4374" target="_blank" rel="noreferrer noopener">https://doi.org/10.28919/jmcs/4374</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079221768&doi=10.28919%2Fjmcs%2F4374&partnerID=40&md5=1a0cc995928d013e68d3ebd40598df0d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079221768&doi=10.28919%2fjmcs%2f4374&partnerID=40&md5=1a0cc995928d013e68d3ebd40598df0d</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 19275307 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kok J., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India; Naduvath S., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Rainbow neighbourhood number of graphs Subject The topic of the resource Colour classes; Colour cluster; Expanded line graph; Rainbow neighbourhood; V-clique Description An account of the resource In this paper, we introduce the notion of the rainbow neighbourhood and a related graph parameter namely the rainbow neighbourhood number and report on preliminary results thereof. The closed neighbourhood N [v] of a vertex v ? V (G) which contains at least one coloured vertex of each colour in the chromatic colouring of a graph is called a rainbow neighbourhood. The number of rainbow neighbourhoods in a graph G is called the rainbow neighbourhood number of G, denoted by r?(G). We also introduce the concepts of an expanded line graph of a graph G and a v-clique of v ? V (G). With the help of these new concepts, we also establish a necessary and sufficient condition for the existence of a rainbow neighbourhood in the line graph of a graph G. 2019 Johan Kokand Sudev Naduvath and Muhammad Kamran Jamil. Creator An entity primarily responsible for making the resource Kok J.; Naduvath S.; Jamil M.K. Source A related resource from which the described resource is derived Proyecciones, Vol-38, No. 3, pp. 470-483. Publisher An entity responsible for making the resource available Universidad Catolica del Norte Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22199/issn.0717-6279-2019-03-0030" target="_blank" rel="noreferrer noopener">https://doi.org/10.22199/issn.0717-6279-2019-03-0030</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069857355&doi=10.22199%2Fissn.0717-6279-2019-03-0030&partnerID=40&md5=bd86c8ed8b124434a225efdeea99577b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069857355&doi=10.22199%2fissn.0717-6279-2019-03-0030&partnerID=40&md5=bd86c8ed8b124434a225efdeea99577b</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 7160917 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kok J., CHRIST (Deemed to be University), Department of Mathematics, Bangalore, Karnataka, 560029, India; Naduvath S., CHRIST (Deemed to be University), Department of Mathematics, Bangalore, Karnataka, 560029, India; Jamil M.K., Riphah International University, Department of Mathematics, Riphah Institute of Computing and Applied Sciences, Lahore, Pakistan Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Generalisation of the rainbow neighbourhood number and k-jump colouring of a graph Subject The topic of the resource K-jump colouring; K-rainbow neighbourhood; K-rainbow neighbourhood number Description An account of the resource In this paper, the notions of rainbow neighbourhood and rainbow neigh-bourhood number of a graph are generalised and further to these general-isations, the notion of a proper k-jump colouring of a graph is also intro-duced. The generalisations follow from the understanding that a closed k-neighbourhood of a vertex v ? V (G) denoted, Nk [v] is the set, Nk [v] = {u: d(v, u) ? k, k ? N and k ? diam(G)}. If the closed k-neighbourhood Nk [v] contains at least one of each colour of the chromatic colour set, we say that v yields a k-rainbow neighbourhood. 2020, Eszterhazy Karoly College. All rights reserved. Creator An entity primarily responsible for making the resource Kok J.; Naduvath S.; Mphako-Banda E.G. Source A related resource from which the described resource is derived Annales Mathematicae et Informaticae, Vol-52, pp. 147-158. Publisher An entity responsible for making the resource available Eszterhazy Karoly College Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.33039/ami.2020.02.003" target="_blank" rel="noreferrer noopener">https://doi.org/10.33039/ami.2020.02.003</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098058964&doi=10.33039%2Fami.2020.02.003&partnerID=40&md5=84caf7b2ea843511b4df4048626bdf23" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098058964&doi=10.33039%2fami.2020.02.003&partnerID=40&md5=84caf7b2ea843511b4df4048626bdf23</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 17875021 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kok J., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, India; Naduvath S., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, India; Mphako-Banda E.G., School of Mathematical Sciences, University of Witswatersrand Johannesburg, South Africa Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Study on Ornated Graphs Subject The topic of the resource Degree sequence; Kyle graph; ornated graph; symmetric directed graph Description An account of the resource In this paper, we introduce the notion of a finite non-simple directed graph called, an ornated graph. An ornated graph is a directed graph on n vertices, denoted by On(sl), whose vertices are consecutively labeled clockwise on the circumference of a circle and constructed from an ordered string sl. Joining vertices is such that for an odd indexed entry at of the string, a tail vertex vi has clockwise heads vj if and only if (i + at) ? j. For an even indexed entry as of the string, a tail vertex vi has anticlockwise heads vj if and only if (i - as) ? j. Some interesting results for certain types of ornated graphs are presented. 2023 World Scientific Publishing Company. Creator An entity primarily responsible for making the resource Kok J.; Naduvath S.; Mukungunugwa V. Source A related resource from which the described resource is derived Journal of Interconnection Networks, Vol-23, No. 1 Publisher An entity responsible for making the resource available World Scientific Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1142/S0219265921500353" target="_blank" rel="noreferrer noopener">https://doi.org/10.1142/S0219265921500353</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135418118&doi=10.1142%2FS0219265921500353&partnerID=40&md5=ac152045ace1cf693e7a06e156f72f07" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135418118&doi=10.1142%2fS0219265921500353&partnerID=40&md5=ac152045ace1cf693e7a06e156f72f07</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2192659 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kok J., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, India; Naduvath S., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, India; Mukungunugwa V., Department of Mathematics and Applied Mathematics, University of Zimbabwe, 630 Churchill Ave, Harare, Harare, Zimbabwe Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Root cause analysis of COVID-19 cases by enhanced text mining process Subject The topic of the resource Dunn index; Feature engineering; Feature hashing; Hierarchical dirichlet process; K-means; Latent dirichlet allocation; Latent semantic analysis Description An account of the resource The main focus of this research is to find the reasons behind the fresh cases of COVID-19 from the publics perception for data specific to India. The analysis is done using machine learning approaches and validating the inferences with medical professionals. The data processing and analysis is accomplished in three steps. First, the dimensionality of the vector space model (VSM) is reduced with improvised feature engineering (FE) process by using a weighted term frequency-inverse document frequency (TF-IDF) and forward scan trigrams (FST) followed by removal of weak features using feature hashing technique. In the second step, an enhanced K-means clustering algorithm is used for grouping, based on the public posts from Twitter. In the last step, latent dirichlet allocation (LDA) is applied for discovering the trigram topics relevant to the reasons behind the increase of fresh COVID-19 cases. The enhanced K-means clustering improved Dunn index value by 18.11% when compared with the traditional K-means method. By incorporating improvised two-step FE process, LDA model improved by 14% in terms of coherence score and by 19% and 15% when compared with latent semantic analysis (LSA) and hierarchical dirichlet process (HDP) respectively thereby resulting in 14 root causes for spike in the disease. 2022 Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Kokatnoor S.A.; Krishnan B. Source A related resource from which the described resource is derived International Journal of Electrical and Computer Engineering, Vol-12, No. 2, pp. 1807-1817. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijece.v12i2.pp1807-1817" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijece.v12i2.pp1807-1817</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122797667&doi=10.11591%2Fijece.v12i2.pp1807-1817&partnerID=40&md5=4e66a598625e7ab8ac376449fdc8c251" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122797667&doi=10.11591%2fijece.v12i2.pp1807-1817&partnerID=40&md5=4e66a598625e7ab8ac376449fdc8c251</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 20888708 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kokatnoor S.A., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Krishnan B., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A two-stepped feature engineering process for topic modeling using batchwise LDA with stochastic variational inference model Subject The topic of the resource Feature engineering; Feature engineering; Hierarchical dirichlet process; Latent dirichlet allocation; Latent semantic analysis; Sentiment analysis; Stochastic variational inference; Topic modeling; Vector space model Description An account of the resource Online ratings and customer feedback on hotel booking websites support the decision-making process of the customer as the reviews provide a deeper understanding about all aspects of a hotel. Consequently, review and rating analyses are of great interest to consumers and hotel owners for the hotel related social media services. The key challenge, however, is to make the wide variety of information accessible in a simple, fast and relevant way and the solution is Topic Modelling and Opinion Mining. Common approaches like Latent Semantic Analysis (LSA) and Hierarchical Dirichlet Process (HDP) have order affects. If the input dataset is shuffled then different topics are generated leading to misleading results. To overcome this, a two-stepped feature engineering process is used: first step is to use a TF-IDF with modified trigrams calculation followed by the second step in removing weak features from the corpus thereby reducing the dimensionality of the Vector Space Model (SVM) for efficient Topic Modeling and sentiment analysis of the considered corpus. Sentiment score is calculated using VADER tool and Topic Modeling is done with Batch Wise Latent Dirichlet Allocation (LDA) using Stochastic Variational Inference (SVI) model. The modified trigrams included calculation of probabilities of words not only in the backward direction but also the probability calculation of the next two words of the target word thereby retaining its context information. The proposed method using Batchwise LDA with SVI along with two-stepped feature engineering process considerably improved its performance when compared to LSA and HDP models due to the fact of identifying hidden and relevant topics in terms of their optimized posterior distribution in hotel reviews dataset. The Batchwise LDA with SVI improved its performance by 3% in terms of its coherence values by using two-stepped feature engineering process and by 9% and 4% increase when compared with LSA and HDP models respectively. 2020, Intelligent Network and Systems Society. Creator An entity primarily responsible for making the resource Kokatnoor S.A.; Krishnan B. Source A related resource from which the described resource is derived International Journal of Intelligent Engineering and Systems, Vol-13, No. 4, pp. 333-345. Publisher An entity responsible for making the resource available Intelligent Network and Systems Society Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22266/IJIES2020.0831.29" target="_blank" rel="noreferrer noopener">https://doi.org/10.22266/IJIES2020.0831.29</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089491901&doi=10.22266%2FIJIES2020.0831.29&partnerID=40&md5=eb171c5da699c51d12106aedd99ea9d4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089491901&doi=10.22266%2fIJIES2020.0831.29&partnerID=40&md5=eb171c5da699c51d12106aedd99ea9d4</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 2185310X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Krishnan B., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Identification of misconceptions about corona outbreak using trigrams and weighted TF-IDF model Subject The topic of the resource Coronavirus; Count Vectorizer; COVID-19; K-Nearest Neighbour; Logistic Regression; N-Grams; Nae Bayes; Random Forest; Support Vector Machine; TF-IDF Description An account of the resource Misconceptions of a particular issue like health, diseases, politics, government policies, epidemics and pandemics have been a social issue for a number of years, particularly after the advent of social media, and often spread faster than true truth. The engagement with social media like Twitter being one of the most prominent news outlets continuing is a major source of information today, particularly the information distributed around the network. In this paper, the efficacy of Misconception Detection System was tested on Corona Pandemic Dataset extracted from Twitter posts. A Trigram and a weighted TF-IDF Model followed by a supervised classifier were used for categorizing the dataset into two classes: one with misconceptions about COVID-19 virus and the other comprising correct and authenticated information. Trigrams were more reliable as the functional words related to coronavirus appeared more frequently in the corpus created. The proposed system using a combination of trigrams and weighted TF-IDF gave relevant and a normalized score leading to an efficient creation of vector space model and this has yielded good performance results when compared with traditional approaches using Bag of Words and Count Vectorizer technique where the vector space model was created only through word count. 2020, Institute of Advanced Scientific Research, Inc. All rights reserved. Creator An entity primarily responsible for making the resource Kokatnoor S.A.; Krishnan B. Source A related resource from which the described resource is derived Journal of Advanced Research in Dynamical and Control Systems, Vol-12, No. 5 Special Issue, pp. 524-533. Publisher An entity responsible for making the resource available Institute of Advanced Scientific Research, Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.5373/JARDCS/V12SP5/20201788" target="_blank" rel="noreferrer noopener">https://doi.org/10.5373/JARDCS/V12SP5/20201788</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090681658&doi=10.5373%2FJARDCS%2FV12SP5%2F20201788&partnerID=40&md5=a1b09996ac6631dbadf79f79486f3628" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090681658&doi=10.5373%2fJARDCS%2fV12SP5%2f20201788&partnerID=40&md5=a1b09996ac6631dbadf79f79486f3628</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1943023X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Krishnan B., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Self-supervised learning based anomaly detection in online social media Subject The topic of the resource Behavioural anomalies; Classification algorithms; Clustering algorithms; Content anomalies; Demonetization; K-means; Logistic regression; Nae bayes; Online social media (OSM); Random forest; Self-supervised; Statistical approaches; Structural anomalies; Support vector machine; TextBlob; VADER Description An account of the resource Online Social Media (OSM) produce enormous data related to the human behaviours based on their interactions. One such data is the opinions expressed and posted for any specific issue addressed in the OSM. Majority of the opinions posted would be categorized as positive, negative and neutral. The lighter group's opinions are termed anomalous as it is not conforming the regular opinions posted by other users. Though, lot of conventional classification and clustering based learning algorithms works well under supervised and un-supervised environment, due to the inherent ambiguity in the tweeted data, anomaly detection poses a bigger challenge in text mining. Though the data is un-supervised, for the learning purpose it is treated as Supervised Learning by assigning class labels for the training data. This paper attempts to give an insight into various anomalies of OSM and identify behavioural anomalies for a Twitter Dataset on user's opinions on demonetization policy in India. Through Self-Supervised learning, it is observed that 86% of the user's opinions did agree to the demonetization policy and the remaining have posted negative opinions for the policy implemented. 2020, Intelligent Network and Systems Society. Creator An entity primarily responsible for making the resource Kokatnoor S.A.; Krishnan B. Source A related resource from which the described resource is derived International Journal of Intelligent Engineering and Systems, Vol-13, No. 3, pp. 446-456. Publisher An entity responsible for making the resource available Intelligent Network and Systems Society Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22266/IJIES2020.0630.40" target="_blank" rel="noreferrer noopener">https://doi.org/10.22266/IJIES2020.0630.40</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087074036&doi=10.22266%2FIJIES2020.0630.40&partnerID=40&md5=158c71779aa75d1793d4f3d31f49b6d2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087074036&doi=10.22266%2fIJIES2020.0630.40&partnerID=40&md5=158c71779aa75d1793d4f3d31f49b6d2</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 2185310X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, Christ (Deemed to be University), Bangalore, India; Krishnan B., Department of Computer Science and Engineering, School of Engineering and Technology, Christ (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A comparative study of text mining algorithms for anomaly detection in online social networks Subject The topic of the resource Anomaly detection; Decision trees; Entropy and Euclidean distance; Gini index; K-Nearest neighbour (KNN) and Support Vector Machine (SVM); Kernel function; Rocchio algorithm; Social media Description An account of the resource Text mining is a process by which information and patterns are extracted from textual data. Online Social Networks, which have attracted immense attention in recent years, produces enormous text data related to the human behaviours based on their interactions with each other. This data is intrinsically unstructured and ambiguous in nature. The data involves incorrect spellings and inaccurate grammars leading to lexical, syntactic and semantic ambiguities. This causes wrong analysis and inappropriate pattern identification. Various Text Mining approaches are being used by researchers which can help in Anomaly Detection through Topic Modeling, identification of Trending Topics, Hate Speeches and evolution of the communities in Online Social Networks. In this paper, a comparative analysis of the performance of four classification algorithms, Support Vector Machine (SVM), Rocchio, Decision Trees and K-Nearest Neighbour (KNN) for a Twitter data set is presented. The experimental study revealed that SVM outperforms better than other classifiers, and also classifies the dataset into anomalous and non-anomalous users opinions. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. Creator An entity primarily responsible for making the resource Kokatnoor S.A.; Krishnan B. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-132, pp. 29-37. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-15-5309-7_4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-5309-7_4</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090369987&doi=10.1007%2F978-981-15-5309-7_4&partnerID=40&md5=832032cda9a14a0f1b467866b8cb5734" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090369987&doi=10.1007%2f978-981-15-5309-7_4&partnerID=40&md5=832032cda9a14a0f1b467866b8cb5734</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kokatnoor S.A., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Krishnan B., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India