Data Mining Techniques for Social Network Analysis

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Author(s): Vijayaganth V. (Bannari Amman Institute of Technology, India)
Copyright: 2019
Pages: 16
Source title: Cognitive Social Mining Applications in Data Analytics and Forensics
Source Author(s)/Editor(s): Anandakumar Haldorai (Sri Eshwar College of Engineering, India)and Arulmurugan Ramu (Presidency University, India)
DOI: 10.4018/978-1-5225-7522-1.ch002

Keywords: Data Analysis & Statistics / Information Science Reference / Library & Information Science / Social Computing

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Abstract

Social networks have increased momentously in the last decade. Individuals are depending on interpersonal organizations for data, news, and the assessment of different clients on various topics. These issues often make social network data very complex to analyze manually, resulting in the persistent use of computational means for analyzing them. Data mining gives a variety of systems for identifying helpful learning from huge datasets and a wide range of techniques for detecting useful knowledge from massive datasets like trends, patterns and rules. This chapter discusses different data mining techniques used in mining social networks.

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