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How people read sociograms: A questionnaire study
Citation
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.
Official URL: https://www.acs.org.au/
Abstract
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 |
Downloads: | 0 |
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