Computational Network Science: An Algorithmic Approach by Henry HexmoorComputational Network Science: An Algorithmic Approach by Henry Hexmoor

Computational Network Science: An Algorithmic Approach

byHenry HexmoorEditorHenry Hexmoor

Paperback | September 29, 2014

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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 Scienceseeks 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.

  • Demystifies media hype regarding Network Science and serves as a fast-paced introduction to state-of-the-art concepts and systems related to network science
  • Comprehensive coverage of Network Science algorithms, methodologies, and common problems
  • Includes references to formative and updated developments in the field
  • Coverage spans mathematical sociology, economics, political science, and biological networks
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...
Title:Computational Network Science: An Algorithmic ApproachFormat:PaperbackDimensions:128 pages, 8.75 × 6.35 × 0.68 inPublished:September 29, 2014Publisher:Morgan KaufmannLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0128008911

ISBN - 13:9780128008911

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Table of Contents

Part 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 topics