Social Media Mining : An Introduction
The growth of social media over the last decade has revolutionized the way individuals interact and industries conduct business. Individuals produce data at an unprecedented rate by interacting, sharing, and consuming content through social media. Understanding and processing this new type of data to glean actionable patterns presents challenges and opportunities for interdisciplinary research, novel algorithms and tool development. Social Media Mining integrates social media, social network analysis, and data mining to provide a coherent platform to understand the basics and potentials of social media mining. It introduces the unique problems arising from social media data and presents fundamental concepts, emerging issues, and effective algorithms for network analysis and data mining. Suitable for use in advanced undergraduate and beginning graduate courses as well as professional short courses, the text contains exercises of different degrees of difficulty that improve understanding and help apply concepts, principles and methods for social media mining.
- Electronic book text
- 05 Jul 2014
- CAMBRIDGE UNIVERSITY PRESS
- Cambridge University Press (Virtual Publishing)
- Cambridge, United Kingdom
- 109 b/w illus. 20 tables 107 exercises
Table of contents
1. Introduction to social media mining; 2. Graph essentials; 3. Network measures; 4. Network models; 5. Data mining essentials; 6. Community analysis; 7. Information diffusion; 8. Influence and homophily; 9. Recommendation in social media; 10. Behavior analytics.
'This is an exceptionally well-constructed book on social media that will be useful to academia and industry alike. The book covers the entire area of social network analysis in a comprehensive and understandable way.' Charu Aggarwal, IBM T. J. Watson Research Center 'This is a delightful exploration of a multidisciplinary field in its simple and straightforward style. Social Media Mining introduces and connects underlying concepts with clarity and enables you to explore this amazing field further with confidence.' Philip Yu, University of Illinois, Chicago