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Visualizing social network concepts
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AI
DOI：10.1016/j.dss.2010.02.001.png)
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Abstract
En 中文
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.
Keywords:
Network visualization
Social network analysis
Information categorization
Information analysis
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