DocumentCode :
659630
Title :
ADraw: A novel social network visualization tool with attribute-based layout and coloring
Author :
Zhenwen Wang ; Weidong Xiao ; Bin Ge ; Hao Xu
Author_Institution :
Sci. & Technol. on Inf. Syst. Eng. Lab., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2013
fDate :
6-9 Oct. 2013
Firstpage :
25
Lastpage :
32
Abstract :
Visualization is an important tool for social network analysis. Traditional visualization tools only take account into the links in the networks when displaying them. However, social networks are inherently attached to abundant attribute information. In order to display their attribute information, a novel visualization tool with attribute-based layout and coloring is developed in this paper. The core of this tool are two algorithms: one for node layout and the other for node coloring. These two algorithms are designed based on the principle of making the nodes with same attribute values closer in the diagram. The experiments on synthetic networks and real-world networks show that this tool can return more reasonable visualization.
Keywords :
data analysis; data visualisation; social networking (online); ADraw tool; attribute information; attribute-based coloring; attribute-based layout; node coloring; node layout; real-world networks; social network analysis; social network visualization tool; synthetic networks; Color; Communities; Data visualization; Layout; Motion pictures; Social network services; Visualization; Coloring; Layout; Network visualization; Social network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Big Data, 2013 IEEE International Conference on
Conference_Location :
Silicon Valley, CA
Type :
conf
DOI :
10.1109/BigData.2013.6691779
Filename :
6691779
Link To Document :
بازگشت