| Description |
1 online resource |
| Contents |
Front Cover; Dedication; Contents; List of Figures; List of Tables; Preface; Chapter 1: Introduction; Part I: BACKGROUND; Chapter 2: Graph Theory; Chapter 3: Algorithms and Complexity; Chapter 4: Analysis of Complex Networks; PART II: ALGORITHMS; Chapter 5: Distance and Centrality; Chapter 6: Special Subgraphs; Chapter 7: Data Clustering; Chapter 8: Graph-based Clustering; Chapter 9: Network Motif Discovery; APPLICATIONS III; Chapter 10: Protein InteractionNetworks; Chapter 11: Social Networks; Chapter 12: The Internet and the Web; Chapter 13: Ad hocWireless Networks; Back Cover |
| Summary |
Network science is a rapidly emerging field of study that encompasses mathematics, computer science, physics, and engineering. A key issue in the study of complex networks is to understand the collective behavior of the various elements of these networks. Although the results from graph theory have proven to be powerful in investigating the structures of complex networks, few books focus on the algorithmic aspects of complex network analysis. Filling this need, Complex Networks: An Algorithmic Perspective supplies the basic theoretical algorithmic and graph theoretic knowledge needed by every r |
| Notes |
Title from content provider |
| Form |
Electronic book
|
| ISBN |
9781466571679 |
|
1466571675 |
|
