基于自我网络的多层语义建模的社交网络用户分析

P. Tamilselvi, Kishore Balasubramaniam, S. Vidhya, N. Jayapandian, K. Ramya, M. Poongodi, Mounir Hamdi, Godwin Brown Tunze
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引用次数: 13

摘要

社交和信息网络破坏了个人(自我)和他们在社交媒体上联系的朋友(改变者)之间的真实关系。个体网络的结构以自我网络为重点。以自我为中心的方法很受欢迎,因为它关注个人、群体或社区。大小、结构和组成直接影响自我网络。此外,本文还分析了自我改变联系强度和联系强度。学位给出了网络的第一个概述。以社会支持的程度与平均强度之间的“差距”来探讨网络中的社会支持。这些结果坚定地表明,无论传递和保持社会关系的方法是否因为在线社会网络的分散而不断发展,个人整理社会关系的方式似乎保持不变。随着在线社交网络的发展,它们有助于接收更多样化的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social Network User Profiling With Multilayer Semantic Modeling Using Ego Network
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.
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