Graph Theoretic Approaches for Analyzing Large-Scale Social Networks

Graph Theoretic Approaches for Analyzing Large-Scale Social Networks

Natarajan Meghanathan (Jackson State University, USA)
Indexed In: SCOPUS
Release Date: July, 2017|Copyright: © 2018 |Pages: 355
ISBN13: 9781522528142|ISBN10: 1522528148|EISBN13: 9781522528159|DOI: 10.4018/978-1-5225-2814-2


Social network analysis has created novel opportunities within the field of data science. The complexity of these networks requires new techniques to optimize the extraction of useful information.

Graph Theoretic Approaches for Analyzing Large-Scale Social Networks is a pivotal reference source for the latest academic research on emerging algorithms and methods for the analysis of social networks. Highlighting a range of pertinent topics such as influence maximization, probabilistic exploration, and distributed memory, this book is ideally designed for academics, graduate students, professionals, and practitioners actively involved in the field of data science.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Content Specific Modeling
  • Distributed Memory
  • Graph Mining
  • Influence Maximization
  • Information Spread Control
  • Link Prediction
  • Probabilistic Exploration

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Dr. Natarajan Meghanathan is a tenured Associate Professor of Computer Science at Jackson State University, Jackson, MS. He graduated with a Ph.D. in Computer Science from The University of Texas at Dallas in May 2005. Dr. Meghanathan has published more than 140 peer-reviewed articles (more than half of them being journal publications). He has also received federal education and research grants from the U. S. National Science Foundation, Army Research Lab and Air Force Research Lab. Dr. Meghanathan has been serving in the editorial board of several international journals and in the Technical Program Committees and Organization Committees of several international conferences. His research interests are Wireless Ad hoc Networks and Sensor Networks, Graph Theory, Network and Software Security, Bioinformatics and Computational Biology. For more information, visit