Paper Info
Title
Finding Communities in Site Web-Graphs and Citation Graphs
Abstract
The Web is a typical example of a social network. One of the most intriguing features of the Web is its self-organization behavior, which is usually faced through the existence of communities. The dis- covery of the communities in a Web-graph can be used to improve the eectiv eness of search engines, for purposes of prefetching, bibliographic citation ranking, spam detection, creation of road-maps and site graphs, etc. Correspondingly, a citation graph is also a social network which con- sists of communities. The identication of communities in citation graphs can enhance the bibliography search as well as the data-mining. In this paper we will present a fast algorithm which can identify the communi- ties over a given unweighted/undirected graph. This graph may represent a Web-graph or a citation graph.
Year
Venue
Keywords
2006
Advances in Databases and Information Systems
social network,search engine,data mining,self organization
DocType
Volume
Citations 
Conference
abs/1208.5464
0
PageRank 
References 
Authors
0.34
9
1
Name
Order
Citations
PageRank
Antonis Sidiropoulos138027.27