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Effects of sociogram drawing conventions and edge crossings in social network visualization


Huang, W and Hong, S-H and Eades, P, Effects of sociogram drawing conventions and edge crossings in social network visualization, Journal of Graph Algorithms and Applications, 11, (2) pp. 397-429. ISSN 1526-1719 (2007) [Refereed Article]


Copyright Statement

Copyright 2007 Journal of Graph Algorithms and Applications

DOI: doi:10.7155/jgaa.00152


This paper describes a user study examining the effects of different spatial layouts on human sociogram perception. The study compares the relative effectiveness of five sociogram drawing conventions in communicating the underlying network substance, based on task performance and user preference. The impact of edge crossings is also explored by using social network specific tasks Both quantitative and qualitative methods are employed in the study.

It was found that 1) both edge crossings and drawing conventions have significant effects on user preference and performance of finding groups, but neither has much impact on the perception of actor importance. On the other hand, node positioning and angular resolution may be more important in perceiving the importance of actors. In visualizing social networks, it is important to note that techniques that are highly preferred by users do not necessarily lead to optimal task performance. 2) the subjects have a strong preference for placing nodes on the top or in the center to highlight importance, and clustering nodes in the same group and separating clusters to highlight groups. They have tendency to believe that nodes on the top or in the center are more important, and nodes in close proximity belong to the same group.

Some preliminary recommendations for sociogram design are also proposed.

Item Details

Item Type:Refereed Article
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:90185
Year Published:2007
Deposited By:Information and Communication Technology
Deposited On:2014-03-27
Last Modified:2017-05-22
Downloads:121 View Download Statistics

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