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» Analysis of Communities of Interest in Data Networks
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KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 13 days ago
Constant-factor approximation algorithms for identifying dynamic communities
We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf
SIGMOD
2003
ACM
96views Database» more  SIGMOD 2003»
16 years 21 hour ago
Toward network data independence
A number of researchers have become interested in the design of global-scale networked systems and applications. Our thesis here is that the database community's principles a...
Joseph M. Hellerstein
113
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KDD
2009
ACM
379views Data Mining» more  KDD 2009»
15 years 4 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...
ASUNAM
2009
IEEE
15 years 6 months ago
Modeling a Store's Product Space as a Social Network
A market basket is a set of products that form a single retail transaction. This purchase data of products can shed important light on how product(s) might influence sales of oth...
Troy Raeder, Nitesh V. Chawla
ESCIENCE
2007
IEEE
15 years 6 months ago
Building a Data Grid for the Australian Nanostructural Analysis Network
: This paper describes the architecture and services developed by the GRANI project for the Australian Nanostructural Analysis Network Organization (NANO). The aim of GRANI was to ...
Brendan Mauger, Jane Hunter, John Drennan, Ashley ...