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How people read sociograms: A questionnaire study


Huang, W and Hong, S-H and Eades, P, How people read sociograms: A questionnaire study, Conferences in Research and Practice in Information Technology, February 2006, Tokyo, Japan, pp. 1-8. (2006) [Refereed Conference Paper]

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Copyright Statement

Copyright 2006, Australian Computer Society, Inc. This pa- per appeared at Asia-Paci¯c Symposium on Information Visu- alization (APVIS 2006), Tokyo, Japan, February 2006. Confer- ences in Research and Practice in Information Technology, Vol. 60. K. Misue, K. Sugiyama and J. Tanaka, Ed. Reproduction for academic, not-for pro¯t purposes permitted provided this text is included.

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Visualizing social network data into sociograms plays an important role in communicating information about network characteristics. Previous studies have shown that human perceptions of network features can be affected by the layout of a sociogram [McGrath et al. 1996, 1997]. An empirical user study has been conducted to investigate e®ectiveness of five different network visualization conventions and impact of edge crossings on sociogram perceptions, using both quantitative performance and preference measures and qualitative questionnaire study. This pa- per reports results and ¯ndings of the questionnaire study. We relate qualitative questionnaire results with quantitative findings and discuss their implications for sociogram design. We found that subjects had a strong preference of placing nodes on the top or in the center to highlight importance, and clustering nodes in the same group and separating groups to highlight groups. They had tendency to believe that nodes in the center or on the top are more important, and nodes in close proximity belong to the same group. Some preliminary recommendations for sociogram design and hypotheses about human reading behaviors are proposed.

Item Details

Item Type:Refereed Conference Paper
Keywords:sociogram perception, social network, edge crossing, questionnaire
Research Division:Information and Computing Sciences
Research Group:Library and information studies
Research Field:Human information interaction and retrieval
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the information and computing sciences
UTAS Author:Huang, W (Dr Tony Huang)
ID Code:90188
Year Published:2006
Deposited By:Information and Communication Technology
Deposited On:2014-03-27
Last Modified:2014-08-06

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