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» Discovering communities in complex networks
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ISCIS
2005
Springer
14 years 1 months ago
Computing Communities in Large Networks Using Random Walks
Dense subgraphs of sparse graphs (communities), which appear in most real-world complex networks, play an important role in many contexts. Computing them however is generally expe...
Pascal Pons, Matthieu Latapy
CIKM
2010
Springer
13 years 6 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, ...
CORR
2006
Springer
127views Education» more  CORR 2006»
13 years 8 months ago
Post-Processing Hierarchical Community Structures: Quality Improvements and Multi-scale View
Dense sub-graphs of sparse graphs (communities), which appear in most real-world complex networks, play an important role in many contexts. Most existing community detection algori...
Pascal Pons
ASUNAM
2010
IEEE
13 years 9 months ago
Empirical Study of Social Features' Roles in Buyers' Complex Decision Making
This paper aims at studying the roles of social features (as obtained from social networking sources) in buyers' decision process when they are searching for products to buy. ...
Li Chen
CONEXT
2009
ACM
13 years 9 months ago
ThunderDome: discovering upload constraints using decentralized bandwidth tournaments
ThunderDome is a system for collaboratively measuring upload bandwidths in ad-hoc peer-to-peer systems. It works by scheduling bandwidth probes between pairs of hosts, wherein eac...
John R. Douceur, James W. Mickens, Thomas Moscibro...