Social Media Mining: An Introduction

Social Media Mining: An Introduction by Reza Zafarani, Mohammad Ali Abbasi, and Huan Liu.

From the webpage:

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.

Another Cambridge University Press title that is available in pre-publication PDF format.

If you are contemplating writing a textbook, Cambridge University Press access policies should be one of your considerations in seeking a publisher.

You can download the entire books, chapters, and slides from Social Media Mining: An Introduction

Do remember that only 14% of the U.S. adult population uses Twitter. Whatever “trends” you extract from Twitter may or may not reflect “trends” in the larger population.

I first saw this in a tweet by Stat Fact.

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