Summary
International Symposium on Nonlinear Theory and its Applications
2017
Session Number:A1L-C
Session:
Number:A1L-C-6
Analysis of Social Networks and its Evaluation Using Big Data Analyzing Technique
Atsushi Tanaka, Seungil Cho, Muneki Yasuda, Tomochika Harada, Michio Yokoyama,
pp.54-57
Publication Date:2017/12/4
Online ISSN:2188-5079
Summary:
In order to analyze social networks, an improved method for Clique Percolation Method(CPM) is proposed. Using this method, which is called pseudo ACPM, network analysis of friendship networks on SNS sites for college students is carried out. As the number of lack of nodes to fuse two cliques decreases, it is confirmed that small communities inside large communities can be detected. Our results are also evaluated using the method for big data analysis.