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Seminaire MASCOTTECommunity detection in large multiplex graphs par Felipe Menezes
Date : | 19/04/11 | Time : | 10h30 | Location : | galois coriolis |
Ă‚' Communities in graphs have been a well studied field of networks. But only recently have we seen the first works about communities in multiplex graphs (groups of graphs based on the same vertexes), and Ă‚' because it is based around traditional optimization schemes, it can't be use for very large graphs. On the other hand, there has been some studies about detecting community structure in very large graphs, using the concept of modularity greedy optimization. By combining these two concepts: modularity greedy optimization and multiplex graphs, we are developing new techniques which can use the combined information of multiplex graphs and the efficiency of the greedy optimization to find out better community structure in very large graphs.
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