Ted G. Lewis

Network Science

Theory and Applications

• Gebundenes Buch

Produktbeschreibung

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.

---

A comprehensive look at the emerging science of networks

Network 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.

Produktdetails

• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 524
• Erscheinungstermin: 1. März 2009
• Englisch
• Abmessung: 240mm x 161mm x 33mm
• Gewicht: 810g
• ISBN-13: 9780470331880
• ISBN-10: 0470331887
• Artikelnr.: 25428152

Autorenporträt

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.

Inhaltsangabe

1. ORIGINS. 1.1 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 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.