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How people read sociograms: A questionnaire study

conference contribution
posted on 2023-05-23, 08:42 authored by Huang, W, Hong, S-H, Eades, P
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.

History

Publication title

Conferences in Research and Practice in Information Technology

Volume

60

Editors

K Misue, K Sugiyama and J Tanaka

Pagination

1-8

Department/School

School of Information and Communication Technology

Publisher

Australian Computer Society, Inc.

Place of publication

Australia

Event title

Asia-Pacific Symposium on Information Visualization (APVIS 2006)

Event Venue

Tokyo, Japan

Date of Event (Start Date)

2006-02-01

Date of Event (End Date)

2006-02-01

Rights 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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Socio-economic Objectives

Expanding knowledge in the information and computing sciences

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