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» Significance-Driven Graph Clustering
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WWW
2010
ACM
15 years 9 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
WAW
2009
Springer
147views Algorithms» more  WAW 2009»
15 years 8 months ago
A Dynamic Model for On-Line Social Networks
We present a deterministic model for on-line social networks based on transitivity and local knowledge in social interactions. In the Iterated Local Transitivity (ILT) model, at ea...
Anthony Bonato, Noor Hadi, Paul Horn, Pawel Pralat...
OTM
2009
Springer
15 years 8 months ago
LinksB2N: Automatic Data Integration for the Semantic Web
Abstract. The ongoing trend towards open data embraced by the Semantic Web has started to produce a large number of data sources. These data sources are published using RDF vocabul...
Manuel Salvadores, Gianluca Correndo, Bene Rodrigu...
BVAI
2007
Springer
15 years 8 months ago
Classification with Positive and Negative Equivalence Constraints: Theory, Computation and Human Experiments
We tested the efficiency of category learning when participants are provided only with pairs of objects, known to belong either to the same class (Positive Equivalence Constraints ...
Rubi Hammer, Tomer Hertz, Shaul Hochstein, Daphna ...
EUROPAR
2007
Springer
15 years 8 months ago
Acyclic Preference Systems in P2P Networks
In this work we study preference systems suitable for the Peer-to-Peer paradigm. Most of them fall in one of the three following categories: global, symmetric and complementary. Al...
Anh-Tuan Gai, Dmitry Lebedev, Fabien Mathieu, Fabi...