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OverviewComputational Network Science: An Algorithmic Approach Full Product DetailsAuthor: Henry Hexmoor (Associate Professor, Computer Science Department, Southern Illinois University, Carbondale, Illinois)Publisher: Elsevier Science & Technology Imprint: Morgan Kaufmann Publishers In Dimensions: Width: 15.20cm , Height: 0.70cm , Length: 22.90cm Weight: 0.200kg ISBN: 9780128008911ISBN 10: 0128008911 Pages: 128 Publication Date: 30 September 2014 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of ContentsPart I: Preliminaries Chapters in this section cover basics definitions and algorithms for working with networks 1. Overview: Network Models and Theories 2. Social Network Analysis 3. Network Games 4. Economic Networks 5. Political Networks 6. Interactions 7. Diffusion 8. Social Influence 9. Power Part II: Groups Chapters in this section cover definitions and algorithms for working with groups of individuals in networks 10. Community Detection 11. Collective Action Part III: Advanced Research Topics 12. Social Capital 13. Organizations 14. Emerging topicsReviewsAuthor InformationHenry 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. Tab Content 6Author Website:Countries AvailableAll regions |
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