期刊名称：International Journal of Advances in Soft Computing and Its Applications
印刷版ISSN：2074-8523
出版年度：2015
卷号：7
期号：3-Special
出版社：International Center for Scientific Research and Studies
摘要：Social network analysis is used to analyze networks for better understanding of the network structure. Visualizations in social network analysis show interesting relationships and interactions between actors in the network, while measures of centrality identify the important actors in the network. The purpose of this study is to visualize and measures the centrality of betwenness, closeness, degree and eigenvector for Political Blogosphere dataset by using three different social network analysis tools; ORA, NodeXL and UCINET. The results visualize the actors in a network and indicate which nodes provide better performance for each centrality measure
关键词：Centrality Measurement; Network Visualization; Social Network; ; Social Network Analysis
