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Need for Dynamicity in Social Networking Sites: An Overview from Data Mining Perspective

Need for Dynamicity in Social Networking Sites: An Overview from Data Mining Perspective
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Author(s): Gurdeep S. Hura (University of Maryland Eastern Shore, USA)
Copyright: 2013
Pages: 24
Source title: Data Mining in Dynamic Social Networks and Fuzzy Systems
Source Author(s)/Editor(s): Vishal Bhatnagar (Ambedkar Institute of Advanced Communication Technologies and Research, India)
DOI: 10.4018/978-1-4666-4213-3.ch001

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Abstract

This chapter presents this new emerging technology of social media and networking with a detailed discussion on: basic definitions and applications, how this technology evolved in the last few years, the need for dynamicity under data mining environment. It also provides a comprehensive design and analysis of popular social networking media and sites available for the users. A brief discussion on the data mining methodologies for implementing the variety of new applications dealing with huge/big data in data science is presented. Further, an attempt is being made in this chapter to present a new emerging perspective of data mining methodologies with its dynamicity for social networking media and sites as a new trend and needed framework for dealing with huge amount of data for its collection, analysis and interpretation for a number of real world applications. A discussion will also be provided for the current and future status of data mining of social media and networking applications.

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