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 Conference Paper Faculty Publications- Conference Papers 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 Prasad, D. Durga; J, Vijay Arputharaj; Rao, Kuncham Sreenivasa; Kumar, D. Vijaya; Kumar, J. Doondi; Reddy, K. V. Subba Rami Title A name given to the resource Complex Network Articulation Points Detection and Centrality Measures 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 Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST;Volume;599 LNICST;pp.447-463 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-77081-4_35" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-77081-4_35</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85219194779?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85219194779?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 Prasad D.D., Department of ECE, Vishnu Institute of Technology, Andhra Pradesh, Bhimavaram, India; J V.A., Department of Computer Science, CHRIST University, Karnataka, Bangalore, India; Rao K.S., Department of Computer Science and Engineering, Faculty of Science and Technology (IcfaiTech), ICFAI Foundation for Higher Education, Hyderabad, India; Kumar D.V., Freshman Engineering Department, Lakireddy Bali Reddy College of Engineering, Andhra Pradesh, Mylavaram, India; Kumar J.D., Department of ECE, Vishnu Institute of Technology, Andhra Pradesh, Bhimavaram, India; Reddy K.V.S.R., Department of ECE, Vishnu Institute of Technology, Andhra Pradesh, Bhimavaram, India Description An account of the resource To clearly understand how network structure and function interact is a basic difficulty in the study of large networked systems. An old-fashioned idea from graph theory, called articulation points, may be used to do this. In a network, a node If removing it causes the network to become disconnected or causes more network components to get linked, it is an articulation point (AP). Single points of collapse are represented as articulation points in networks. The major goal of this research is to provide a method for identifying the articulation points and centrality measures. We can locate the articulation points considerably more quickly and effectively by using TARJANS Algorithm, which uses depth-first search. It must fulfill two requirements to qualify as an articulation point. For the root node of a DFS traversal to be an articulation point, it must contain at least two offspring nodes that are members of various sub graphs. It has been discovered that articulation points (APS) are crucial for maintaining the reliability and connection of several real-world networks. By assigning each node in the graph a scalar value based on an assumption, centrality metrics may be used to quantify each nodes significance. A fundamental centrality metric is node degree. In terms of node neighbors, it is equivalent. Hence, the more neighbors a node has, the more central and densely linked it is, and the more it affects the network by having more neighbors. ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2025. Subject The topic of the resource Articulation Points; Betweenness Centrality; Centrality; Complex networks; Degree Centrality; Depth-First Search; Graph Theory; Node; TARJANs Algorithm Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 18678211; ISBN: 978-303177080-7; Language A language of the resource English Type The nature or genre of the resource Conference paper 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