Visualizing social network concepts

Bin Zhu, Stephanie Watts, Hsinchun Chen

Research output: Contribution to journalArticle

33 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)151-161
Number of pages11
JournalDecision Support Systems
Volume49
Issue number2
DOIs
StatePublished - May 2010

Fingerprint

Social Support
Visualization
Benchmarking
Research
Social networks
Social Networks
Experiments

Keywords

  • Information analysis
  • Information categorization
  • Network visualization
  • Social network analysis

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Information Systems and Management

Cite this

Visualizing social network concepts. / Zhu, Bin; Watts, Stephanie; Chen, Hsinchun.

In: Decision Support Systems, Vol. 49, No. 2, 05.2010, p. 151-161.

Research output: Contribution to journalArticle

Zhu, Bin ; Watts, Stephanie ; Chen, Hsinchun. / Visualizing social network concepts. In: Decision Support Systems. 2010 ; Vol. 49, No. 2. pp. 151-161.
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