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» Graph clustering with network structure indices
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CORR
2010
Springer
116views Education» more  CORR 2010»
13 years 2 months ago
Mixed-Membership Stochastic Block-Models for Transactional Networks
Abstract: Transactional network data can be thought of as a list of oneto-many communications (e.g., email) between nodes in a social network. Most social network models convert th...
Mahdi Shafiei, Hugh Chipman
JPDC
2000
106views more  JPDC 2000»
13 years 7 months ago
Dual of a Complete Graph as an Interconnection Network
A new class of interconnection networks, the hypernetworks, has been proposed recently. Hypernetworks are characterized by hypergraphs. Compared with point-to-point networks, they...
Si-Qing Zheng, Jie Wu
KES
2008
Springer
13 years 7 months ago
Readable Representations for Large-Scale Bipartite Graphs
Bipartite graphs appear in various scenes in the real world, and visualizing these graphs helps improve our understanding of network structures. The amount of information that is a...
Shuji Sato, Kazuo Misue, Jiro Tanaka
ACMSE
2005
ACM
14 years 1 months ago
Bibliometric approach to community discovery
Recent research suggests that most of the real-world random networks organize themselves into communities. Communities are formed by subsets of nodes in a graph, which are closely...
Narsingh Deo, Hemant Balakrishnan
WABI
2009
Springer
162views Bioinformatics» more  WABI 2009»
14 years 2 months ago
Aligning Biomolecular Networks Using Modular Graph Kernels
Comparative analysis of biomolecular networks constructed using measurements from different conditions, tissues, and organisms offer a powerful approach to understanding the stru...
Fadi Towfic, M. Heather West Greenlee, Vasant Hona...