Big Data Analytics for Social Networks

Brian Baingana, Panagiotis Traganitis, Georgios Giannakis, Gonzalo Mateos

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations


The last few years have witnessed a dramatic upswing in the volume, variety, and acquisition rate of data from disparate sources. Among other factors, this “data deluge” has been fueled by the ubiquity of the web, pervasive deployment of low-cost sensors, cheaper storage memory, and growing awareness that data is a key asset from which valuable insights can be unlocked. Social networks lie at the forefront of this revolution, presenting ample opportunities to address several challenges associated with big data. Examples include micro-blogging services (e.g., Twitter), web-based friendship networks (e.g., Facebook), and online product reviews (e.g., Yelp).

Original languageEnglish (US)
Title of host publicationGraph-Based Social Media Analysis
PublisherCRC Press
Number of pages48
ISBN (Electronic)9781498719056
ISBN (Print)9781498719049
StatePublished - Jan 1 2016

Bibliographical note

Publisher Copyright:
© 2016 by Taylor and Francis Group, LLC.


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