Paper Info
Title
Inferring Sub-Culture Hierarchies Based on Object Diffusion on the World Wide Web
Abstract
This paper presents our approach to inferring communities on the Web. It delineates the sub-culture hierarchies based on how individuals get involved in the dispersion of online objects. To this end, a relatedness function is chosen to satisfy a set of carefully defined mathematical conditions. The conditions are deduced from how people may share common interests through placing common objects on their homepages. Our relatedness function can infer much more detailed degree of relatedness between homepages than other contemporary methods.
Year
Venue
Keywords
2000
ICDCS Workshop of Knowledge Discovery and Data Mining in the World-Wide Web
satisfiability,world wide web
Field
DocType
Citations 
Data mining,World Wide Web,Web intelligence,Computer science,Web modeling,Hierarchy
Conference
0
PageRank 
References 
Authors
0.34
7
2
Name
Order
Citations
PageRank
Ta-gang Chiou100.34
Judith S. Donath21029158.32