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AAAI
2012
13 years 1 days ago
A Spin-Glass Model for Semi-Supervised Community Detection
Current modularity-based community detection methods show decreased performance as relational networks become increasingly noisy. These methods also yield a large number of divers...
Eric Eaton, Rachael Mansbach
SAC
2009
ACM
15 years 4 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad
COMCOM
2004
138views more  COMCOM 2004»
14 years 9 months ago
Issues with inferring Internet topological attributes
A number of recent studies of Internet network structure are based on data collected from inter-domain BGP routing tables and tools, such as traceroute, to probe end-to-end paths....
Lisa Amini, Anees Shaikh, Henning Schulzrinne
WAW
2004
Springer
178views Algorithms» more  WAW 2004»
15 years 3 months ago
Communities Detection in Large Networks
We develop an algorithm to detect community structure in complex networks. The algorithm is based on spectral methods and takes into account weights and links orientations. Since t...
Andrea Capocci, Vito Domenico Pietro Servedio, Gui...
APWEB
2008
Springer
14 years 11 months ago
The Layered World of Scientific Conferences
Recent models have introduced the notion of dimensions and hierarchies in social networks. These models motivate the mining of small world graphs under a new perspective. We exempl...
Michael Kuhn 0002, Roger Wattenhofer