Social Network User Profiling With Multilayer Semantic Modeling Using Ego Network
- Title
- Social Network User Profiling With Multilayer Semantic Modeling Using Ego Network
- Creator
- Tamil S.P.; Balasubramaniam K.; Vidhya S.; Jayapandian N.; Ramya K.; Poongodi M.; Hamdi M.; Tunze G.B.
- Description
- Social and information networks undermine the real relationship between the individuals (ego) and the friends (alters) they are connected with on social media. The structure of individual network is highlighted by the ego network. Egocentric approach is popular due to its focus on individuals, groups, or communities. Size, structure, and composition directly impact the ego networks. Moreover, analysis includes strength of ego alter ties degree and strength of ties. Degree gives the first overview of network. Social support in the network is explored with the gap between the degree and average strength. These outcomes firmly propose that, regardless of whether the approaches to convey and to keep up social connections are evolving because of the dispersion of online social networks, the way individuals sort out their social connections appears to remain unaltered. As online social networks evolve, they help in receiving more diverse information. 2022 IGI Global. All rights reserved.
- Source
- International Journal of Information Technology and Web Engineering, Vol-17, No. 1
- Date
- 2022-01-01
- Publisher
- IGI Global
- Subject
- Dimension Reduction; DoctoVec; Genism; Kmean; LSTMs; Matplotlib; Meanshift; PCA; Python; RNN; Scikitlib; Vectors; Visualizaton
- Coverage
- Tamil S.P., Michael Job College of Arts and Science for Women, India; Balasubramaniam K., Dr. Mahalingam College of Engineering and Technology, India; Vidhya S., PKR Arts College for Women, India; Jayapandian N., Christ University, India; Ramya K., PA College of Engineering and Technology, India; Poongodi M., Division of Informational and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar; Hamdi M., Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar; Tunze G.B., Mbeya University of Science and Technology, Tanzania
- Rights
- All Open Access; Gold Open Access
- Relation
- ISSN: 15541045
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Tamil S.P.; Balasubramaniam K.; Vidhya S.; Jayapandian N.; Ramya K.; Poongodi M.; Hamdi M.; Tunze G.B., “Social Network User Profiling With Multilayer Semantic Modeling Using Ego Network,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/15315.