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.

Promotional Information

Integrates social media, social network analysis, and data mining to provide an understanding of the potentials of social media mining.

About the Author

Reza Zafarani is a Research Associate of Computer Science and Engineering at Arizona State University. He performs research in user behavioral modeling and was among the first to research on user identification and behavioral analysis across sites. Mohammad Ali Abbasi is a Research Associate of Computer Science and Engineering at Arizona State University. His research is focused on evaluating user credibility in social media and using social media for humanitarian assistance and disaster relief. Huan Liu is a Professor of Computer Science and Engineering at Arizona State University where he has been recognized for excellence in teaching and research. His research interests include real-world, data intensive applications with high-dimensional data of disparate forms, such as social media.

Reviews

'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