Details

Network Science


Network Science

Theory and Applications
1. Aufl.

von: Ted G. Lewis

132,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 25.03.2009
ISBN/EAN: 9780470400784
Sprache: englisch
Anzahl Seiten: 524

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Beschreibungen

<p><b>A comprehensive look at the emerging science of networks</b></p> <p>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.</p> <p>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.</p> <p>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:</p> <ul> <li>Origins</li> <li>Graphs</li> <li>Regular Networks</li> <li>Random Networks</li> <li>Small-World Networks</li> <li>Scale-Free Networks</li> <li>Emergence</li> <li>Epidemics</li> <li>Synchrony</li> <li>Influence Networks</li> <li>Vulnerability</li> <li>Net Gain</li> <li>Biology</li> </ul> <p>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.</p>
Preface/Foreword ix <p><b>1 Origins 1</b></p> <p>1.1 What Is Network Science?, 5</p> <p>1.2 A Brief History of Network Science, 8</p> <p>1.3 General Principles, 19</p> <p><b>2 Graphs 23</b></p> <p>2.1 Set-Theoretic Definition of a Graph, 25</p> <p>2.2 Matrix Algebra Definition of a Graph, 33</p> <p>2.3 The Bridges of Ko¨nigsberg Graph, 38</p> <p>2.4 Spectral Properties of Graphs, 42</p> <p>2.5 Types of Graphs, 46</p> <p>2.6 Topological Structure, 54</p> <p>2.7 Graphs in Software, 63</p> <p>2.8 Exercises, 68</p> <p><b>3 Regular Networks 71</b></p> <p>3.1 Diameter, Centrality, and Average Path Length, 74</p> <p>3.2 Binary Tree Network, 79</p> <p>3.3 Toroidal Network, 85</p> <p>3.4 Hypercube Networks, 89</p> <p>3.5 Exercises, 95</p> <p><b>4 Random Networks 97</b></p> <p>4.1 Generation of Random Networks, 100</p> <p>4.2 Degree Distribution of Random Networks, 106</p> <p>4.3 Entropy of Random Networks, 110</p> <p>4.4 Properties of Random Networks, 118</p> <p>4.5 Weak Ties in Random Networks, 125</p> <p>4.6 Randomization of Regular Networks, 127</p> <p>4.7 Analysis, 128</p> <p>4.8 Exercises, 129</p> <p><b>5 Small-World Networks 131</b></p> <p>5.1 Generating a Small-World Network, 135</p> <p>5.2 Properties of Small-World Networks, 142</p> <p>5.3 Phase Transition, 156</p> <p>5.4 Navigating Small Worlds, 160</p> <p>5.5 Weak Ties in Small-World Networks, 169</p> <p>5.6 Analysis, 171</p> <p>5.7 Exercises, 173</p> <p><b>6 Scale-Free Networks 177</b></p> <p>6.1 Generating a Scale-Free Network, 180</p> <p>6.2 Properties of Scale-Free Networks, 190</p> <p>6.3 Navigation in Scale-Free Networks, 203</p> <p>6.4 Analysis, 207</p> <p>6.5 Exercises, 214</p> <p><b>7 Emergence 217</b></p> <p>7.1 What is Network Emergence?, 219</p> <p>7.2 Emergence in the Sciences, 223</p> <p>7.3 Genetic Evolution, 225</p> <p>7.4 Designer Networks, 233</p> <p>7.5 Permutation Network Emergence, 243</p> <p>7.6 An Application of Emergence, 252</p> <p>7.7 Exercises, 258</p> <p><b>8 Epidemics 261</b></p> <p>8.1 Epidemic Models, 264</p> <p>8.2 Persistent Epidemics in Networks, 275</p> <p>8.3 Network Epidemic Simulation Software, 287</p> <p>8.4 Countermeasures, 289</p> <p>8.5 Exercises, 297</p> <p><b>9 Synchrony 299</b></p> <p>9.1 To Sync or Not to Sync, 300</p> <p>9.2 A Cricket Social Network, 307</p> <p>9.3 Kirchhoff Networks, 324</p> <p>9.4 Pointville Electric Power Grid, 331</p> <p>9.5 Exercises, 335</p> <p><b>10 Influence Networks 337</b></p> <p>10.1 Anatomy of Buzz, 340</p> <p>10.2 Power in Social Networks, 347</p> <p>10.3 Conflict in I-Nets, 357</p> <p>10.4 Command Hierarchies, 360</p> <p>10.5 Emergent Power in I-Nets, 362</p> <p>10.6 Exercises, 371</p> <p><b>11 Vulnerability 375</b></p> <p>11.1 Network Risk, 378</p> <p>11.2 Critical Node Analysis, 382</p> <p>11.3 Game Theory Considerations, 407</p> <p>11.4 The General Attacker–Defender Network Risk Problem, 408</p> <p>11.5 Critical Link Analysis, 410</p> <p>11.6 Stability Resilience in Kirchhoff Networks, 428</p> <p>11.7 Exercises, 430</p> <p><b>12 NetGain 433</b></p> <p>12.1 Classical Diffusion Equations, 436</p> <p>12.2 Multiproduct Networks, 443</p> <p>12.3 Java Method for Netgain Emergence, 447</p> <p>12.4 Nascent Market Networks, 448</p> <p>12.5 Creative Destruction Networks, 453</p> <p>12.6 Merger and Acquisition Networks, 463</p> <p>12.7 Exercises, 466</p> <p><b>13 Biology 469</b></p> <p>13.1 Static Models, 471</p> <p>13.2 Dynamic Analysis, 475</p> <p>13.3 Protein Expression Networks, 481</p> <p>13.4 Mass Kinetics Modeling, 484</p> <p>13.5 Exercises, 490</p> <p>Bibliography 493</p> <p>About the Author 503</p> <p>Index 505</p>
"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)<br /> <br /> <p>“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.” (<i>Computing Reviews</i>, July 2009)</p>
<b>T. G. Lewis</b> 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.
<b>A comprehensive look at the emerging science of networks</b> <p>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.</p> <p>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.</p> <p>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:</p> <ul> <li>Origins</li> <li> <p>Graphs</p> </li> <li> <p>Regular Networks</p> </li> <li> <p>Random Networks</p> </li> <li> <p>Small-World Networks</p> </li> <li> <p>Scale-Free Networks</p> </li> <li> <p>Emergence</p> </li> <li> <p>Epidemics</p> </li> <li> <p>Synchrony</p> </li> <li> <p>Influence Networks</p> </li> <li> <p>Vulnerability</p> </li> <li> <p>Net Gain</p> </li> <li> <p>Biology</p> </li> </ul> <p>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.</p>

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