DocumentCode :
1606185
Title :
An improved graph drawing algorithm for email networks
Author :
Wang, Xiaoqiang ; Zhou, Xiumei ; Lan, Weiyao ; Wu, Shunxiang
Author_Institution :
Dept. of Autom., Xiamen Univ., Xiamen, China
fYear :
2009
Firstpage :
1667
Lastpage :
1672
Abstract :
This paper addresses the graph drawing problem for email networks. First, the graph drawing problem is formulated as a minimization problem. Then, a genetic algorithm based graph drawing method is proposed by solving the minimization problem. By taking into account the smallworld property of the email-networks, the proposed method improved the force-directed graph drawing algorithm to draw the graph more intuitively and aesthetically. It also speeds up the graph drawing algorithm by ignoring repulsive force far away from the vertex, and prevents the nearly disconnected graph from being pushed to the border. Moreover, the key cliques of the email networks are placed in the central of the layout. Experiment tests show that the proposed method has better performance in satisfying the aesthetic criterions and time consumption.
Keywords :
electronic mail; genetic algorithms; graph theory; aesthetic criterion; email network; force-directed graph drawing algorithm; genetic algorithm; small world property; Australia; Business communication; Clustering algorithms; Data analysis; Data visualization; Genetic algorithms; Minimization methods; Network servers; Testing; Transient analysis; Email-networks; graph drawing; small-world property;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Asian Control Conference, 2009. ASCC 2009. 7th
Conference_Location :
Hong Kong
Print_ISBN :
978-89-956056-2-2
Electronic_ISBN :
978-89-956056-9-1
Type :
conf
Filename :
5276382
Link To Document :
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