Murthy, Dhiraj; Gross, Alexander; Takata, Alexander and Bond, Stephanie. 2013. Evaluation and Development of Data Mining Tools for Social Network Analysis. In: , ed. Mining Social Networks and Security Informatics. Netherlands: Springer Netherlands, pp. 183-202. ISBN 978-94-007-6358-6 [Book Section]

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Abstract or Description

This chapter reviews existing data mining tools for scraping data from heterogeneous online social networks. It introduces not only the complexities of scraping data from these sources (which include diverse data forms), but also presents currently available tools including their strengths and weaknesses. The chapter introduces our solution to effectively mining online social networks through the development of VoyeurServer, a tool we designed which builds upon the open-source Web-Harvest framework. We have shared details of how VoyeurServer was developed and how it works so that data mining developers can develop their own customized data mining solutions built upon the Web-Harvest framework. We conclude the chapter with future directions of our data mining project so that developers can incorporate relevant features into their data mining applications.

Item Type:	Book Section
Keywords:	Data mining, Online social networks, Web content extraction, Web-Harvest, Network analysis
Departments, Centres and Research Units:	Sociology
Dates:	Date Event 2013 Published
Item ID:	9318
Date Deposited:	29 Oct 2013 22:40
Last Modified:	18 Feb 2014 09:53
URI:	https://research.gold.ac.uk/id/eprint/9318

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