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ICALP
2009
Springer
14 years 7 months ago
Rumor Spreading in Social Networks
Social networks are an interesting class of graphs likely to become of increasing importance in the future, not only theoretically, but also for its probable applications to ad hoc...
Flavio Chierichetti, Silvio Lattanzi, Alessandro P...
CORR
2012
Springer
250views Education» more  CORR 2012»
12 years 3 months ago
Mining Attribute-structure Correlated Patterns in Large Attributed Graphs
In this work, we study the correlation between attribute sets and the occurrence of dense subgraphs in large attributed graphs, a task we call structural correlation pattern minin...
Arlei Silva, Wagner Meira Jr., Mohammed J. Zaki
ATAL
2005
Springer
14 years 1 months ago
Modeling complex multi-issue negotiations using utility graphs
This paper presents an agent strategy for complex bilateral negotiations over many issues with inter-dependent valuations. We use ideas inspired by graph theory and probabilistic ...
Valentin Robu, D. J. A. Somefun, Johannes A. La Po...
GECCO
1999
Springer
130views Optimization» more  GECCO 1999»
13 years 11 months ago
Heterochrony and Adaptation in Developing Neural Networks
This paper discusses the simulation results of a model of biological development for neural networks based on a regulatory genome. The model’s results are analyzed using the fra...
Angelo Cangelosi
ASUNAM
2010
IEEE
13 years 9 months ago
Tracking the Evolution of Communities in Dynamic Social Networks
Real-world social networks from a variety of domains can naturally be modelled as dynamic graphs. However, approaches to detecting communities have largely focused on identifying ...
Derek Greene, Dónal Doyle, Padraig Cunningh...