Title :
A community detection algorithm of email based on separation
Author_Institution :
School of Computer Science & Technology, Soochow University, Suzhou 215006, China
Abstract :
In this paper, we propose a solution to detect the weighted and directed communities of email network, based on gradually separate method. Then analysis the structure of communities, determine the community structure, form, the core-persons and division accurately. To find the overlapping communities is another advantage of this method.
Keywords :
Algorithm design and analysis; Bismuth; Broadcasting; Clustering algorithms; Communities; Electronic mail; Organizations; community discovery; sepration; structural analysis; the weighted and directed community of email;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5689004
