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Weak Links : Stabilizers of Complex Systems from Proteins to Social Networks :  Stabilizers of Complex Systems from Proteins to Social Networks - Peter Csermely

Weak Links : Stabilizers of Complex Systems from Proteins to Social Networks

Stabilizers of Complex Systems from Proteins to Social Networks

Hardcover Published: March 2006
ISBN: 9783540311515
Number Of Pages: 392

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Introduction: How the Links Were Formed.- A Principle is Born: The Granovetter-Study.- Why do we Like Networks?.- Network Stability.- Weak Links as Stabilizers of Complex Systems.- Atoms, Molecules, Macromolecules.- Weak Links and Cellular Stability.- Weak Links and the Stability of Organisms.- Social Nets.- Networks of Human Culture.- The Global-Web.- The Eco-Web.- Conclusions and Perspectives.

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"This is an excellent book, which shows the far-reaching consequences of the great variety of weak links. The book has a proper balance between a scientific monograph and a popular approach, and mixes humor with sharp intellect. "Weak Links" is an adventurous, entertainingly eclectic and rich work both for the experts and laymen." (Laszlo-Albert Barabasi, Department of Physics, University of Notre Dame, author of the bestseller book, Linked and the 1999 seminal Science paper on the preferential attachment model of scale-free network topology.)

"You have written a very personal, engaging, and unique book that will appeal to readers and get them thinking." (Steve Strogatz, Dept. of Theoretical and Applied Mathematics, Cornell University, author of Sync and the 1998 seminal Nature paper on small worlds.)

"You have done a great service by making the world of networks understandable and clear. I will use your book in my classes." (Caroline S. Wagner, Center of International Science & Technology Policy, George Washington University, author of several science policy-related books including the an upcoming work on the international collaboration in science)

"This book links an exceptionally large number of areas and gives exciting novel information to both the network experts and the science-orinted general readership." (Tamas Vicsek, Dept. Biological Physics, Eoetvoes University, author of several network-related Nature papers including a method to determine overlapping network modules)

"This masterpiece should serve as an example how science can be discussed. Entertaining yet thought provoking." (Gyoergy Buzsaki, Board of Governors Professor, Center for Molecular and Behavioral Neuroscience Rutgers University, a leading expert of neuronal networks)

"You have written a true gem of a book; erudite, humane, funny, accessible and thoroughly fascinating. On every page, I find another delight that makes me smile and leads me down new intellectual paths (weak links again!). Thanks to your thorough footnotes, I can delve as deep as I would like into the professional papers. Outstanding - I wish more books were written this way. I have adopted your book as a textbook for my Science of Networks class, and I will recommend it to anyone who ask without hesitation. You did a great service to pedagogy and to this budding science with this magisterial survey. I really appreciate it and my students will, as well." (Daniel J. Bilar, Computer Science Department, Wellesley College MA, USA)

A Principle is Born: The Granovetter Studyp. 1
Why Do We Like Networks?p. 5
Small-Worldnessp. 7
Scale-Freenessp. 13
Scale-Free Degree Distribution of Networksp. 14
Underlying Reason for Scale-Freeness: Self-Organisationp. 18
Scale-Free Distribution in Time: Probabilitiesp. 24
Scale-Free Survival Strategies: Levy Flightsp. 27
Scale-Free Pleasuresp. 29
Nestednessp. 32
Weak-Linknessp. 43
Network Stabilityp. 47
Perturbations. Good and Bad Noisep. 47
Life as a Relaxation Phenomenon: Dissipate Locally, Connect Globallyp. 56
Confined Relaxation with Global Connectionp. 56
Self-Organised Criticalityp. 59
Network Failuresp. 68
Topological Phase Transitions of Networksp. 74
Nestedness and Stability: Syncp. 79
How Can We Stabilize Networks? Engineers or Tinkerersp. 90
Weak Links as Stabilizers of Complex Systemsp. 95
An Emerging Synthesis: Weak Links Stabilize Complex Systemsp. 95
Weak Links: A Starting Definitionp. 100
Stability: A Starting Definitionp. 103
Complex Systemsp. 106
Weak Links and System Degeneracyp. 108
Atoms, Molecules and Macromoleculesp. 111
Protein Folding Problemsp. 111
Energy Landscapesp. 115
Weak Bonds in Protein and RNA Foldingp. 119
Weak Links and Cellular Stabilityp. 125
Cellular Networksp. 125
Stability of the Cellular Netp. 128
Stress, Diversity and Jumps in Evolutionp. 139
Cancer, Disease and Agingp. 150
Cancerp. 150
Diseasep. 151
Agingp. 152
Weak Links and the Stability of Organismsp. 157
Immunological Networksp. 157
Transport Systemsp. 162
Muscle Netp. 163
The Neuro-Glial Networkp. 166
Psycho Netp. 170
Social Netsp. 181
Animal Communitiesp. 181
A Novel Explanation of the Menopausep. 184
Stability of Human Societiesp. 186
Firms and Human Organisationsp. 201
Dark Networks and Terror Netsp. 207
Pseudo-Groomingp. 209
Networks of Human Culturep. 219
The Language Netp. 219
Novels, Plays, and Films as Networksp. 224
Our Engineered Spacep. 231
Software Netsp. 238
Engineers and Tinkerers: An Emerging Synthesisp. 240
The Global Webp. 243
The World Trade Webp. 243
Turning Points in Historyp. 247
Weak Links: A Part of Social Capitalp. 258
The Ecowebp. 263
Weak Links and the Stability of Ecosystemsp. 263
Omnivoryp. 267
The Weak Links of Gaiap. 270
Conclusions and Perspectivesp. 275
The Unity of the Weakly-Linked World: A Summaryp. 275
Revisiting the Definitions: A Synthesisp. 281
Prospects and Extensionsp. 304
Weak Links and Our Livesp. 307
Useful Linksp. 313
Glossaryp. 317
Referencesp. 329
Indexp. 377
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9783540311515
ISBN-10: 3540311513
Series: The Frontiers Collection
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 392
Published: March 2006
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.5 x 15.5  x 2.54
Weight (kg): 0.82

Earn 306 Qantas Points
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