Applications of Social Graphs: Author, Email, Telephone Using Graph Mining Techniques

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Author(s): Bapuji Rao (Indira Gandhi Institute of Technology, India), Sasmita Mishra (Indira Gandhi Institute of Technology, India)and Sarojananda Mishra (Indira Gandhi Institute of Technology, India)
Copyright: 2018
Pages: 35
Source title: Improving E-Commerce Web Applications Through Business Intelligence Techniques
Source Author(s)/Editor(s): G. Sreedhar (Rashtriya Sanskrit Vidyapeetha (Deemed University), India)
DOI: 10.4018/978-1-5225-3646-8.ch013

Keywords: Business & Management / Business Intelligence / Business Science Reference / E-Commerce

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Abstract

The chapter focuses on the applications of three social graphs, namely author, email, and telephone. The important application of author graph is the real network communications among the authors publishing research papers. The authors have proposed an algorithm to extract sub-graphs of authors. Individual email sending is more frequently within a group rather than group sending. Such group entities can be detected and analyzed further for knowledge discovery. For this, the authors have proposed an algorithm for extraction of strong and weak communicator's sub-graph. The telephone graph with multiple distinct types of connectivity information can be derived as layers and considered an important application. Therefore, the information retrieval can be represented as multi-layer graphs. Each layer has its own set of edges over the same underlying nodes of base-layer. Therefore, the edges of different layers typically are related but unique in behavior. For this, the authors have proposed an algorithm for representation of telephone graph as a multi-layer graph.

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Applications of Social Graphs: Author, Email, Telephone Using Graph Mining Techniques

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