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KDD
2009
ACM
379views Data Mining» more  KDD 2009»
15 years 2 months ago
MetaFac: community discovery via relational hypergraph factorization
This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the laten...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...
COMSWARE
2008
IEEE
14 years 11 months ago
Extracting dense communities from telecom call graphs
Social networks refer to structures made of nodes that represent people or other entities embedded in a social context, and whose edges represent interaction between entities. Typi...
Vinayaka Pandit, Natwar Modani, Sougata Mukherjea,...
CIKM
2010
Springer
14 years 8 months ago
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, ...
WIMOB
2008
IEEE
15 years 4 months ago
Exploiting Self-Reported Social Networks for Routing in Ubiquitous Computing Environments
— Mobile, delay-tolerant, ad hoc and pocket-switched networks may form an important part of future ubiquitous computing environments. Understanding how to efficiently and effect...
Greg Bigwood, D. Rehunathan, Martin Bateman, Trist...
ASUNAM
2009
IEEE
15 years 2 months ago
Mining the Dynamics of Music Preferences from a Social Networking Site
In this paper we present an application of our incremental graph clustering algorithm (DENGRAPH) on a data set obtained from the music community site Last.fm. The aim of our study...
Nico Schlitter, Tanja Falkowski