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Drawing social networks using area-labeling rectangular cartograms
Citation
Lin, WD and Jhong, S-Y and Huang, W and Lin, C-C, Drawing social networks using area-labeling rectangular cartograms, Journal of Internet Technology, 13, (2) pp. 327-336. ISSN 1607-9264 (2012) [Refereed Article]
Copyright Statement
Copyright 2012 National Dong Hwa University Computer Center
Official URL: http://tns.ndhu.edu.tw/~comput/computer_eng/eng_ve...
Abstract
People are linked together by social networks, whose
complexity depends upon a lot of factors. To our
understanding, most visualization interfaces for social
networks have not been designed for reflecting their
factors so far. As a result, this paper tries to solve such a
problem by rectangular cartogram, which is a kind of
geographical visualization interface using rectangles to
represent regions in a map. Besides the relative position of
each rectangle can reflect actual geographical related
positions, one of the main features of rectangular
cartograms is to use the area size or the shape of each
rectangle to reflect the information of its corresponding
region, e.g., the population in that region. This paper
proposes a layout approach for rectangular cartograms
with area labeling for social networks, in which each
region has a minimum-width constraint for
accommodating a text label. To satisfy the practical use
for social networks, we apply a genetic algorithm to
finding the minimum-width area-labeling rectangular
cartogram under some constraints. 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 their popularity can be
visualized at the same time, so that the enterprise can
improve the regions with poor popularity by the help from
the regions with high popularity.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | information visualization |
| Research Division: | Information and Computing Sciences |
| Research Group: | Information Systems |
| Research Field: | Computer-Human Interaction |
| 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: | 93331 |
| Year Published: | 2012 |
| Web of Science® Times Cited: | 3 |
| Deposited By: | Information and Communication Technology |
| Deposited On: | 2014-07-26 |
| Last Modified: | 2017-11-13 |
| Downloads: | 0 |
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