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Full 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.
Contents
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
