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GRAPH MINING: LAWS AND GENERATORS

By Deepayan Chakrabarti, Christos Faloutsos and Mary Mcglohon

Abstract

How does the Web look? How could we tell an “abnormal” social network from a “normal” one? These and similar questions are important in many fields where the data can intuitively be cast as a graph; examples range from computer networks, to sociology, to biology, and many more. Indeed, any

Publisher: 2013-09-23
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.352.4168
Provided by: CiteSeerX
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