Seven Layers of Social Media Analytics

A useful resource for those interested in mining data out of social media flows, the book introduces the novice researcher to basic techniques for:

  • Scraping data from text
  • Extracting and analyzing networks from social media flows
  • Analyzing behaviors as evidenced by social media posting patterns
  • Analyzing location data
  • Analyzing hyperlinks and hyperlinked data
  • Analyzing app and mobile traffic and use
  • Search engine use

Sorin Adam Matei

Sorin Adam Matei - Professor of Communication at Purdue University - studies the relationship between information technology and social groups. He published papers and articles in Journal of Communication, Communication Research, Information Society, and Foreign Policy. He is the author or co-editor of several books. The most recent is Structural differentation in social media. He also co-edited Ethical Reasoning in Big Data,Transparency in social media and Roles, Trust, and Reputation in Social Media Knowledge Markets: Theory and Methods (Computational Social Sciences) , all three the product of the NSF funded KredibleNet project. Dr. Matei's teaching portfolio includes online interaction, and online community analytics and development classes. His teaching makes use of a number of software platforms he has codeveloped, such as Visible Effort . Dr. Matei is also known for his media work. He is a former BBC World Service journalist whose contributions have been published in Esquire and several leading Romanian newspapers. In Romania, he is known for his books Boierii Mintii (The Mind Boyars), Idolii forului (Idols of the forum), and Idei de schimb (Spare ideas).

One thought on “Seven Layers of Social Media Analytics

  • July 17, 2015 at 5:48 am

    Great book. Practical and easy to follow. Highly recommended.


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