PDF-EigenSpokes:SurprisingPatternsandScalableCommunityChippinginLargeGraph
Author : alida-meadow | Published Date : 2015-11-08
ThismaterialisbaseduponworksupportedbytheNationalScienceFoundationunderGrantsNoCNS0721736andCNS0721889andaSprintgiftResearchpartlydoneduringasummerinternshipbythe rstauthoratSprintLabsAnyopinion
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EigenSpokes:SurprisingPatternsandScalableCommunityChippinginLargeGraph: Transcript
ThismaterialisbaseduponworksupportedbytheNationalScienceFoundationunderGrantsNoCNS0721736andCNS0721889andaSprintgiftResearchpartlydoneduringasummerinternshipbythe rstauthoratSprintLabsAnyopinion. Zhe Jin. Introduction. Given a large phone-call network, how can we find communities of users?. Several recent studies have used mobile call graph data to examine and characterize the social interactions of cell phone users. Christos Faloutsos. CMU. Thanks. Alex . Smola. Jia. Yu (Tim) Pan. Google, June 2013. C. Faloutsos (CMU). 2. C. Faloutsos (CMU). 3. Roadmap. Graph problems:. G1: Fraud detection – BP. G2: . Botnet.
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