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Graph Theoretic Approaches for Analyzing Large-Scale Social Networks

Natarajan Meghanathan (Herausgeber)

Media-Kombination
355 Seiten
2017
Information Science Reference
978-1-5225-3215-6 (ISBN)
CHF 389,95 inkl. MwSt
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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.

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 http://www.jsums.edu/cms/nmeghanathan

Verlagsort PA
Sprache englisch
Maße 216 x 279 mm
Themenwelt Mathematik / Informatik ► Informatik ► Netzwerke
Mathematik / Informatik ► Informatik ► Web / Internet
ISBN-10 1-5225-3215-3 / 1522532153
ISBN-13 978-1-5225-3215-6 / 9781522532156
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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