
Computational Network Science
An Algorithmic Approach
Henry Hexmoor(Author)
Morgan Kaufmann (Publisher)
Published on 30. September 2014
Book
Paperback/Softback
128 pages
978-0-12-800891-1 (ISBN)
Description
The emerging field of network science represents a new style of research that can unify such traditionally-diverse fields as sociology, economics, physics, biology, and computer science. It is a powerful tool in analyzing both natural and man-made systems, using the relationships between players within these networks and between the networks themselves to gain insight into the nature of each field. Until now, studies in network science have been focused on particular relationships that require varied and sometimes-incompatible datasets, which has kept it from being a truly universal discipline.
Computational Network Science seeks to unify the methods used to analyze these diverse fields. This book provides an introduction to the field of Network Science and provides the groundwork for a computational, algorithm-based approach to network and system analysis in a new and important way. This new approach would remove the need for tedious human-based analysis of different datasets and help researchers spend more time on the qualitative aspects of network science research.
Computational Network Science seeks to unify the methods used to analyze these diverse fields. This book provides an introduction to the field of Network Science and provides the groundwork for a computational, algorithm-based approach to network and system analysis in a new and important way. This new approach would remove the need for tedious human-based analysis of different datasets and help researchers spend more time on the qualitative aspects of network science research.
More details
Series
Language
English
Place of publication
San Francisco
United States
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
Product notice
Paperback (trade)
Dimensions
Height: 233 mm
Width: 151 mm
Thickness: 9 mm
Weight
196 gr
ISBN-13
978-0-12-800891-1 (9780128008911)
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Schweitzer Classification
Other editions
Additional editions

E-Book
09/2014
Morgan Kaufmann
€27.95
Available for download
Person
Henry Hexmoor, received an M.S. from Georgia Tech and a Ph.D. in Computer Science from the State University of New York, Buffalo in 1996. He is a long-time IEEE senior member and has taught at the University of North Carolina and the University of Arkansas. Currently, he is an associate professor with the Computer Science department at Southern Illinois University in Carbondale, IL. He has published widely in the fields of artificial intelligence and multiagent systems. His research interests include multiagent systems, artificial intelligence, cognitive science, mobile robotics, and predictive models for transportation systems.
Author
Associate Professor, Computer Science Department, Southern Illinois University, Carbondale, Illinois
Content
Part I: PreliminariesChapters in this section cover basics definitions and algorithms for working with networks 1. Overview: Network Models and Theories2. Social Network Analysis3. Network Games4. Economic Networks5. Political Networks6. Interactions7. Diffusion8. Social Influence9. PowerPart II: GroupsChapters in this section cover definitions and algorithms for working with groups of individuals in networks10. Community Detection11. Collective ActionPart III: Advanced Research Topics12. Social Capital13. Organizations14. Emerging topics