Paper Info
Title
Discovering Web Communities in the Blogspace
Abstract
With the emergence of a range of second generation Internet based services such as Weblogs and their hosting services, many loosely organized communities of bloggers have started to form around common interests. Those communities have quickly evolved into a new information and knowledge dissemination channel. Most current search engines cannot discover Weblog communities through regular keyword search. In this paper we propose a new way of collecting and preparing information for Weblog community discovery. Weblog community is treated as a social network and the data collection stage focuses on gaining knowledge of the strength of social ties between Web logs. The strength of social ties and the clustering feature of social network are used to extract communities from a large blogspace. We also develop a few metrics to rank communities as well as individual members in the community. We report several experimental results on "Web services" communities
Year
DOI
Venue
2007
10.1109/HICSS.2007.177
HICSS
Keywords
Field
DocType
social tie,current search engine,regular keyword search,social network,weblog community,clustering feature,new information,discovering web communities,web service,search engine,information dissemination,common interest,web sites,internet,weblog community discovery,data mining,knowledge dissemination channel,blogspace acquisition,informaton dissemination channel,data collection,search engines,social sciences computing,social ties
Web development,Web search engine,World Wide Web,Social network,Web intelligence,Social web,Computer science,Web 2.0,Social Semantic Web,Information Dissemination
Conference
ISSN
ISBN
Citations 
1530-1605 E-ISBN : 0-7695-2755-8
0-7695-2755-8
13
PageRank 
References 
Authors
0.87
6
2
Name
Order
Citations
PageRank
Ying Zhou1394.81
Joseph Davis2130.87