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.
2016
9783319411675
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/981484
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