The new textbook “Social Media Mining: An Introduction,” co-authored by Reza Zafarani, Mohammad Ali Abbasi and Huan Liu, has been released by Cambridge University Press. A complete pre-publication draft of the book can be downloaded in pdf format at http://dmml.asu.edu/smm/

Zafarani and Abbasi are computer science doctoral students in the School of Computing, Informatics, and Decision Systems Engineering and research associates in the Data Mining and Machine Learning Lab led by Liu, a professor in the school.

“Social Media Mining” integrates social media, social network analysis, and data mining to provide a convenient and coherent platform for students, practitioners, researchers, and project managers 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.

The authors write about unique problems that arise from the use of social media data and present fundamental concepts, emerging issues and effective algorithms for network analysis and data mining. This textbook will be used for a second time at ASU in the fall semester.

The book is suitable for use in advanced undergraduate and beginning graduate courses as well as professional short courses. It contains study exercises of various degrees of difficulty meant to improve readers’ understanding and help them apply concepts, principles and methods in various social media mining scenarios.

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