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Rectangular cartogram visualization interface for social networks


Jhong, S-Y and Lin, C-C and Liu, W-Y and Huang, W, Rectangular cartogram visualization interface for social networks, Proceedings of the 2nd International Conference on Security-Enriched Urban Computing and Smart Grid, 21-23 September 2011, Hualien, Taiwan, pp. 336-347. ISBN 978-3-642-23947-2 (2011) [Refereed Conference Paper]

Copyright Statement

Copyright 2011 Springer

DOI: doi:10.1007/978-3-642-23948-9_37


Social networks link people together, among which a lot of factors influences their complexity. To our understanding, so far most visualization interfaces for social networks have not reflected any of their factors. Therefore, this paper tries to solve such a problem by rectangular cartograms, which is a kind of geographical visualization interface using rectnaguls to represent regions in a map. Besides the relative position of each rectangle can reflect the actual geographical related positions, one of the main feastures of rectangular cartograms is that the area size or the shape of each rectangle can reflect the information of its corresponding region, e.g., the population in that region. This paper proposes a layout approaph for rectangular cartograms with area labeling for social networks, in which each region has a minimum-width constraint for accommodating a text label. As a result, this paper applies a genetic algorithm to finding the area-labeling rectangular cartogram with minimum width under some constraints to meet the practical use in social networks. By doing so, we can visualize the labeling text on each rectangle and observe the information represented by its area size or shape at the same time. Furthermore, the proposed approach is applied to visualizing the distribution of the Facebook popularity of an enterprise in Taiwan. From the cartogram, the text label on each region can be read directly and the relation among regions as well as the popularity can be visualized, so that the enterprise can improve the regisons with poor popularity by the help from the regions with high popularity.

Item Details

Item Type:Refereed Conference Paper
Keywords:information visualization
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:93334
Year Published:2011
Deposited By:Information and Communication Technology
Deposited On:2014-07-26
Last Modified:2015-02-05

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