Social Network Mining, Analysis, and Research Trends

Author:

Banubakode Abhijit1ORCID,Gosavi Chhaya Santosh2ORCID,Satpute Meghana3

Affiliation:

1. MET Institute of Computer Science, India

2. MKSSS's Cummins College of Engineering, India

3. University of Texas at Dallas, USA

Abstract

Social media has altered the way we interact with the world around us. Social media usage has taken the world by storm the previous couple of years, and the wide variety of users has grown manifold. The analysis of social networks has been given special attention in recent years, mainly because of the success of online social networks and media sharing sites. In intelligence management, social structures need to be revealed to see social behaviour and social change based on the interactions that have taken place between the social members. Social network mining is very important because of various reasons. For example, studying and analysing social networks allows us to understand social behaviours in different contexts. In addition, by analysing the roles of the people involved in the social network, we can understand how information and opinions spread within the network, and who are the most influential people. This chapter presents a methodical review of social media and mining by applying data mining algorithms to study social networks.

Publisher

IGI Global

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