DocumentCode
459030
Title
Detect community structure from the Enron Email Corpus Based on Link Mining
Author
Qian, Rong ; Zhang, Wei ; Yang, Bingru
Author_Institution
Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing
Volume
2
fYear
2006
fDate
16-18 Oct. 2006
Firstpage
850
Lastpage
855
Abstract
There have been considerable recent interest algorithms for finding communities in networks. This paper presents an algorithm based on link mining. The algorithm is very fast, since calculating the clustering coefficient can be done with local information only. With the algorithm, the community structure from the Enron email corpus is detected. And the visualization of the graph is showed
Keywords
Internet; data mining; electronic mail; graph theory; Enron email corpus; detect community structure; graph visualization; link clustering coefficient; link mining; social networks; Clustering algorithms; Collaboration; Electronic mail; Inspection; Internet; Nearest neighbor searches; Productivity; Social network services; Visualization; Web pages; Enron email corpus; detect community structure; link mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location
Jinan
Print_ISBN
0-7695-2528-8
Type
conf
DOI
10.1109/ISDA.2006.253723
Filename
4021775
Link To Document