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Centrality Metrics for Complex Network Analysis: Emerging Research and Opportunities

Centrality Metrics for Complex Network Analysis: Emerging Research and Opportunities

Noted as an IGI Global Core Reference Title in Media and Communications for 2019.

Natarajan Meghanathan (Jackson State University, USA)
Release Date: April, 2018|Copyright: © 2018 |Pages: 183
ISBN13: 9781522538028|ISBN10: 152253802X|EISBN13: 9781522538035|DOI: 10.4018/978-1-5225-3802-8


As network science and technology continues to gain popularity, it becomes imperative to develop procedures to examine emergent network domains, as well as classical networks, to help ensure their overall optimization.

Centrality Metrics for Complex Network Analysis: Emerging Research and Opportunities is a pivotal reference source for the latest research findings on centrality metrics and their broader applications for different categories of networks including wireless sensor networks, curriculum networks, social networks etc. Featuring extensive coverage on relevant areas, such as complex network graphs, node centrality metrics, and mobile sensor networks, this publication is an ideal resource for students, faculty, industry practitioners, and business professionals interested in theoretical concepts and current developments in network domains.

Topics Covered

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

  • Complex Network Graphs
  • Correlation Analysis
  • Edge Centrality Metrics
  • Mobile Sensor Networks
  • Node Centrality Metrics
  • Partial Correlation Coefficient
  • Scale-Free Networks

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