期刊名称：International Journal of Advances in Soft Computing and Its Applications
印刷版ISSN：2074-8523
出版年度：2014
卷号：6
期号：2
出版社：International Center for Scientific Research and Studies
摘要：Studying community structure has proven efficient in understanding social forms of interactions among people, quantitatively investigating some of the well-known social theories and providing useful recommendations to users in communities based on common interests. Another important feature for community structure is that it allows for classification of vertices according to their structural positions in clusters such that some vertices may have an important function of control and stability within the community while others may play an important role of leading relationships and exchanges between different communities. Studying the community structure of Flight MH370 will help us finding patterns that emerge from that structure which can lead to demystify some of the many ambiguous aspects of that flight. The aim of this study is to analyze the mesoscopic and macroscopic features of that community using social network analysis. Pajek, which is a program for social network analysis, is used to generate a series of social networks that represent the different network communities
关键词：Community Detection; Community Structure; Flight MH370; ; Graph Theory; Pajek; Social Network Analysis; SNA
