Advanced Methods for Complex Network Analysis

A book edited by Dr. Natarajan Meghanathan (Jackson State University)

http://airccse.org/cbc1.html

Introduction

Network Science is a rapidly emerging area of interest for both theory and practice. With the phenomenal growth of the Internet, web, social networks, information on biological networks, etc., it is imperative that we need methods (algorithms, measures, models, etc ) to analyze such large-scale networks, visualize and extract useful information (like communities in the networks, robustness to information diffusion, diameter of the network, etc). Network Science deals with the analysis and visualization of large complex network graphs and the development of efficient methods to study the characteristics of networks involving hundreds and thousands of nodes. Network Science falls within the realm of "Big Data Computing" where the Big Data is the larger graphs that model complex real-world networks.

Objective of the Book

The overall objective of this book is to provide a thorough description of the different aspects of the state-of-the-art research in network science and its applications to diverse network domains. It will be the first such book that will present a comprehensive discussion of the various state-of-the-art graph models, algorithms, analysis measures, visualization techniques, tools and cyber infrastructure that are available for network science research and practice. It will be a one-stop reference for both beginners and professionals in network science and will be a good guiding material for further research in academics as well as for implementing the theory, algorithms, models and analytical measures for practical applications.

Target Audience

We anticipate the proposed book to serve as a valuable source of reference for students pursuing research in undergraduate and graduate levels and be a recommended book for advanced elective/research-oriented special topics courses as well as be a good source of reference and citation for faculty and professionals in university and industry pursuing research in network science. The book will be structured in such a way that it discusses both the theory as well as practical aspects of network science research for a wide variety of network domains, attracting audience from diverse quarters. The book will present information from a research perspective and kindle interest in the mind of the reader to further extend an existing research work and/or develop innovative ideas. Each chapter will introduce the necessary background information to understand the research concepts and ideas covered. We also expect to include some tutorial-style chapters on the theory behind the graph models, algorithms and analysis measures as well as on the use of state-of-the-art tools and cyber infrastructure for network modeling, analysis and visualization.

Recommended topics include, but are not limited to, the following :

• Centrality Measures and Algorithms for Network Analysis
• Community Detection Algorithms
• Analysis of Biological Networks
• Social Network Analysis
• Web Analytics
• Graph Theory Algorithms for Network Science
• Visualization Techniques for Large Network Graphs and Real-World Networks
• Random Graph Models
• Analysis of Citation Networks
• Information Cascades and Diffusion
• Tradeoffs among Network Analysis Measures
• Applications in Wireless Ad hoc Networks and Sensor Networks
• Small-world Networks and Models
• Scale-free Networks and Models
• Simulation and Analysis of Network Graph Models: Comparative Studies
• Tools and Cyber Infrastructure for Network Analysis and Visualization

Submission Procedure

Researchers and practitioners are invited to submit on or before February 28, 2015, a 1-2 page chapter proposal clearly explaining the mission and concerns of his or her proposed chapter. Authors of accepted proposals will be notified by March 15, 2015 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by May 31, 2015. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project. All submissions (proposals full book chapters, etc) should be made through the IGI online submission system for the book. The direct link is: http://www.igi-global.com/publish/call-for-papers/call-details/1597. Inquiries can be sent to the editor at natarajan.meghanathan@jsums.edu

Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2015

Important Dates