New Book: Social Media Mining – free PDF download

Social Media Mining integrates social media, social network analysis, and data mining to enable students, practitioners, researchers, and managers to understand the basics and potentials of this field.



Social Media Mining Social Media Mining, An Introduction

by Reza Zafarani, Mohammad Ali Abbasi, and Huan Liu (Arizona State University)

May 2014, Cambridge University Press

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 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. 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 in various scenarios of social media mining.

Download a complete per-publication draft of the Social Media Mining book in PDF format at

dmml.asu.edu/smm/

The reader is allowed to take one copy for personal use but not for further distribution (either print or electronically).

You can also purchase the book at Cambridge University Press or Amazon.

Contents:
  • Chapter 1. Introduction to social media mining
  • Chapter 2. Graph essentials
  • Chapter 3. Network measures
  • Chapter 4. Network models
  • Chapter 5. Data mining essentials
  • Chapter 6. Community analysis
  • Chapter 7. Information diffusion in Social Media
  • Chapter 8. Influence and homophily
  • Chapter 9. Recommendation in social media
  • Chapter 10. Behavior analytics
  • Bibliography