Visualizing social network concepts

被引:32
|
作者
Zhu, Bin [1 ]
Watts, Stephanie [1 ]
Chen, Hsinchun [2 ]
机构
[1] Boston Univ, IS Dept, Sch Management, Boston, MA 02215 USA
[2] Univ Arizona, MIS Dept, Tucson, AZ 85721 USA
关键词
Network visualization; Social network analysis; Information categorization; Information analysis; CENTRALITY;
D O I
10.1016/j.dss.2010.02.001
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Social network concepts are invaluable for understanding the social network phenomena, but they are difficult to comprehend without computerized visualization. However, most existing network visualization techniques provide limited support for the comprehension of network concepts. This research proposes an approach called concept visualization to facilitate the understanding of social network concepts. The paper describes an implementation of the approach. Results from a controlled laboratory experiment indicate that, compared with the benchmark system, the NetVizer system facilitated better understanding of the concepts of betweenness centrality, gatekeepers of subgroups, and structural similarity. It also supported a faster comprehension of subgroup identification. (C) 2010 Published by Elsevier B.V.
引用
收藏
页码:151 / 161
页数:11
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