Social, biological and communication networks of data with a strong linked nature can often be modeled and analyzed as labeled graphs. We describe some new algorithms for pattern discovery in graphs that can be useful for network analytics, focusing on clique enumeration and its applications.
Network analytics via pattern discovery
Grossi, Roberto
2016-01-01
Abstract
Social, biological and communication networks of data with a strong linked nature can often be modeled and analyzed as labeled graphs. We describe some new algorithms for pattern discovery in graphs that can be useful for network analytics, focusing on clique enumeration and its applications.File in questo prodotto:
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