Network Science
Theory and Applications
(Sprache: Englisch)
Offers clear definitions and an exhaustive review of terms, ideas, and practices currently in use in the field of network science Provides a broad survey of the historical evolution of network science, from its roots in mathematical graph theory to the...
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Offers clear definitions and an exhaustive review of terms, ideas, and practices currently in use in the field of network science Provides a broad survey of the historical evolution of network science, from its roots in mathematical graph theory to the current state of research, development, and application to existing real world infrastructures.
Klappentext zu „Network Science “
A comprehensive look at the emerging science of networksNetwork science helps you design faster, more resilient communication networks; revise infrastructure systems such as electrical power grids, telecommunications networks, and airline routes; model market dynamics; understand synchronization in biological systems; and analyze social interactions among people.
This is the first book to take a comprehensive look at this emerging science. It examines the various kinds of networks (regular, random, small-world, influence, scale-free, and social) and applies network processes and behaviors to emergence, epidemics, synchrony, and risk. The book's uniqueness lies in its integration of concepts across computer science, biology, physics, social network analysis, economics, and marketing.
The book is divided into easy-to-understand topical chapters and the presentation is augmented with clear illustrations, problems and answers, examples, applications, tutorials, and a discussion of related Java software. Chapters cover:
* Origins
* Graphs
* Regular Networks
* Random Networks
* Small-World Networks
* Scale-Free Networks
* Emergence
* Epidemics
* Synchrony
* Influence Networks
* Vulnerability
* Net Gain
* Biology
This book offers a new understanding and interpretation of the field of network science. It is an indispensable resource for researchers, professionals, and technicians in engineering, computing, and biology. It also serves as a valuable textbook for advanced undergraduate and graduate courses in related fields of study.
The first comprehensive book on the emerging field of network science, Network Science: Theory and Applications is an exhaustive review of terms, ideas, and practices in the various areas of network science. In addition to introducing theory and application in easy-to-understand, topical chapters, this book describes the historical evolution of network science through the use of illustrations, tables, practice problems with solutions, case studies, and applications to related Java software. Researchers, professionals, and technicians in engineering, computing, and biology will benefit from this overview of new concepts in network science.
Inhaltsverzeichnis zu „Network Science “
1. ORIGINS1.1 What is Network Science?
1.2 A Brief History of Network Science
1.3 General Principles
2. GRAPHS
2.1 Set Theoretical Definition of a Graph
2.2 Matrix Algebra Definition of a Graph
2.4 Spectral Properties of Graphs
2.5 Types of Graphs
2.6 Topological Structure
2.7 Graphs in Software
2.8. Exercises
3. REGULAR NETWORKS
3.1 Diameter, Centrality, and Average Path Length
3.2 Binary Tree Network
3.3 Toroidal Network
3.4 Hypercube Networks
3.5 Exercises
4. RANDOM NETWORKS
4.1 Generation of Random Networks
4.2 Degree Distribution of Random Networks
4.3 Entropy of Random Networks
4.4 Diameter, Centrality, and Closeness in Random Networks
4.5. Weak Ties in Random Networks
4.6 Randomization of Regular Networks
4.7 Analysis
4.8 Exercises
5. SMALL WORLD NETWORKS
5.1 Generating a Small World Network
5.2 Properties of Small World Networks
5.3 Phase Transition
5.4 Navigating Small Worlds
5.5 Weak Ties in Small World Networks
5.6 Analysis
5.7 Exercises
6. SCALE FREE NETWORKS
6.1 Generating a Scale-Free Network
6.2 Properties of Scale-Free Networks
6.3 Navigation in Scale-Free Networks
6.4 Analysis
6.5 Exercises
7. EMERGENCE
7.1 What is Network Emergence?
7.2 Emergence in the Sciences
7.3 Genetic Evolution
7.4 Designer Networks
7.5 Permutation Network Emergence
7.6 An Application of Emergence
7.7 Exercises
8. EPIDEMICS
8.1. Epidemic Models
8.2 Persistent Epidemics in Networks
8.3 Network Epidemic Simulation Software
8.4 Countermeasures
8.5 Exercises
9. SYNCHRONY
9.1 To Sync or Not To Sync
9.2 A Cricket Social Network
9.3 Kirchhoff Networks
9.4 Anatomy of Buzz
9.5 Exercises
10. INFLUENCE NETWORKS
10.1 Anatomy of Buzz
10.2 Power in Social Networks
10.3 Conflict in I-nets
10.4 Command Hierarchies
10.5 Emergent Power in I-nets
10.6 Exercises
11. VULNERABILITY
11.1 Network Risk
11.2 Critical Node Analysis
11.3 Game Theory Considerations
11.4 The General Attacker-Defender Network Risk Problem
11.5
... mehr
Critical Link Analysis
Table 11.4 Allocation of Resources via Flow Analysis
11.6 Stability Resilience in Kirchhoff Networks
11.6 Exercises
12. NETGAIN
12.1 Classical Diffusion Equations
12.2 Multi-Product Networks
12.3 Java Method for Netgain Emergence
12.4 Nascent Market Networks
12.5 Creative Destruction Networks
12.6 Merger & Acquisition Networks
12.7 Exercises
13. BIOLOGY
13.1 Static Models
13.2 Dynamic Analysis
13.3 Protein Expression Networks
13.4 Mass Kinetics Modeling
13.5 Exercises
Table 11.4 Allocation of Resources via Flow Analysis
11.6 Stability Resilience in Kirchhoff Networks
11.6 Exercises
12. NETGAIN
12.1 Classical Diffusion Equations
12.2 Multi-Product Networks
12.3 Java Method for Netgain Emergence
12.4 Nascent Market Networks
12.5 Creative Destruction Networks
12.6 Merger & Acquisition Networks
12.7 Exercises
13. BIOLOGY
13.1 Static Models
13.2 Dynamic Analysis
13.3 Protein Expression Networks
13.4 Mass Kinetics Modeling
13.5 Exercises
... weniger
Autoren-Porträt von Ted G. Lewis
T. G. Lewis is Professor of Computer Science at the Naval Postgraduate School, Monterey, CA. He has written over thirty books during the course of his extensive career. Dr. Lewis is the former vice president of development for Eastman Kodak.
Bibliographische Angaben
- Autor: Ted G. Lewis
- 2009, 1. Auflage, 528 Seiten, Maße: 23,9 cm, Gebunden, Englisch
- Verlag: Wiley & Sons
- ISBN-10: 0470331887
- ISBN-13: 9780470331880
- Erscheinungsdatum: 15.04.2009
Sprache:
Englisch
Pressezitat
"This book provides a comprehensive study of network science, specifically of different network classes and their respective properties. The chapters are easy to understand, each containing an extensive introduction that prepares the reader for what is to follow." (Computing Reviews, 1 November 2010) "This fascinating book is a tour de force review of the application of network theory to a number of real life and wildly different areas." ( Computing Reviews , July 2009)
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