Social Computing - A Data Mining Perspective

Summary

This book begins with a brief introduction to social computing and a review of classic graph theory and game theory. It then examines the data used to construct social networks, focusing on emerging Web 2.0 technologies and social networking websites, such as Facebook and MySpace. The book also explores data mining for social network extraction and analysis, presenting link and graph mining algorithms, such as subgraph discovery and clustering. In the last section, the authors provide case studies to illustrate concepts and principles as well as to demonstrate how to integrate components in order to solve real-world problems.

Product details

• Authors: Huan Liu, Huan/ Zhang Liu, Arunabha Sen, Jianping Zhang
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Release: 26.01.2014, delayed
• EAN: 9781420083309
• ISBN: 978-1-4200-8330-9
• Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series; Chapman & Hall/CRC Data Mining and Knowledge Discovery Series