Probabilistic graph summarization
We study group-summarization of probabilistic graphs that naturally arise in social networks, semistructured data, and other applications. Our proposed framework groups the nodes and edges of the graph based on a user selected set of node attributes. We present methods to compute useful graph agg...
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| Language: | English en |
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2013
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| Online Access: | http://hdl.handle.net/1828/4403 |