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ICDM
2009
IEEE
125views Data Mining» more  ICDM 2009»
14 years 2 months ago
A Fully Automated Method for Discovering Community Structures in High Dimensional Data
—Identifying modules, or natural communities, in large complex networks is fundamental in many fields, including social sciences, biological sciences and engineering. Recently s...
Jianhua Ruan
CORR
2010
Springer
82views Education» more  CORR 2010»
13 years 7 months ago
Expansion and Search in Networks
Borrowing from concepts in expander graphs, we study the expansion properties of real-world, complex networks (e.g. social networks, unstructured peer-to-peer or P2P networks) and...
Arun S. Maiya, Tanya Y. Berger-Wolf
AAAI
2010
13 years 9 months ago
Modeling Dynamic Multi-Topic Discussions in Online Forums
In the form of topic discussions, users interact with each other to share knowledge and exchange information in online forums. Modeling the evolution of topic discussion reveals h...
Hao Wu, Jiajun Bu, Chun Chen, Can Wang, Guang Qiu,...
WWW
2010
ACM
14 years 2 months ago
Sampling community structure
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
Arun S. Maiya, Tanya Y. Berger-Wolf
CVPR
2008
IEEE
14 years 9 months ago
Unsupervised modeling of object categories using link analysis techniques
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
Gunhee Kim, Christos Faloutsos, Martial Hebert