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
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;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.253723
