Dynamics On and Of Complex Networks (eBook)
XIV, 305 Seiten
Birkhauser Boston (Verlag)
978-0-8176-4751-3 (ISBN)
This self-contained book systematically explores the statistical dynamics on and of complex networks having relevance across a large number of scientific disciplines. The theories related to complex networks are increasingly being used by researchers for their usefulness in harnessing the most difficult problems of a particular discipline. The book is a collection of surveys and cutting-edge research contributions exploring the interdisciplinary relationship of dynamics on and of complex networks. Topics covered include complex networks found in nature-genetic pathways, ecological networks, linguistic systems, and social systems-as well as man-made systems such as the World Wide Web and peer-to-peer networks.
The contributed chapters in this volume are intended to promote cross-fertilization in several research areas, and will be valuable to newcomers in the field, experienced researchers, practitioners, and graduate students interested in systems exhibiting an underlying complex network structure in disciplines such as computer science, biology, statistical physics, nonlinear dynamics, linguistics, and the social sciences.
In the context of network theory, Complex networks can be de?ned as a collection of nodes connected by edges representing various complex int- actions among the nodes. Almost any large-scale system, be it natural or man-made, can be viewed as a complex network of interacting entities, which is dynamically evolving over time. Naturally occurring networks include - ological, ecological and social networks (e. g. , metabolic networks, gene r- ulatory networks, protein interaction networks, signaling networks, epidemic networks, food webs, scienti?c collaboration networks and acquaintance n- works), whereas man-made networks include communication networks and transportation infrastructures (e. g. , the Internet, the World Wide Web, pe- to-peer networks, power grids and airline networks). This edited volume is a sequel to the workshop Dynamics on and of C- plex Networks (http://www. cel. iitkgp. ernet. in/?eccs07/) held as a satellite event of the fourth European Conference on Complex Systems in Dresden, Germany from October 1-5, 2007. The primary aim of this workshop was to systematically explore the statistical dynamics "e;on"e; and "e;of"e; complex n- works that prevail across a large number of scienti?c disciplines. Dynamics on networks refers to the di?erent types of processes, for instance, prolife- tion and di?usion, that take place on networks. The functionality/e?ciency of these processes is strongly tied to the underlying topology as well as the dynamic behavior of the network.
Preface 6
Contents 10
List of Contributors 12
Biological Sciences 16
From Network Structure to Dynamics and Back Again: Relating Dynamical Stability and Connection Topology in Biological Complex Systems 17
1 Introduction 17
2 Biological Networks: Some Examples Across Length Scales 19
3 From Structure to Dynamics 24
4 From Dynamics to Structure 26
5 Evolution of Robust Networks 28
References 30
Regulation of Apoptosis via the NFkB Pathway: Modeling and Analysis 32
1 Introduction 32
2 The Model 33
3 Analysis of Boolean Models 36
4 Results and Discussion 40
5 Conclusion 44
References 45
Network-Based Models in Molecular Biology 47
1 Introduction 47
2 Molecular Biological Networks 50
3 Identifying Molecular Biological Networks 51
4 Dynamics of Molecular Biological Networks 54
5 Dynamics on Molecular Biological Networks 56
Acknowledgments 60
Appendix 1: Large-Scale Detection of Interaction Networks 60
Appendix 2: Some Important Definitions 62
References 64
Ecological Networks: Structure, Interaction Strength, and Stability 69
1 Introduction 69
2 Food Web Structure, Interaction Strength, and Stability 75
3 Results 77
4 Discussion and Conclusion 79
References 80
Signaling and Feedback in Biological Networks 85
1 Introduction 85
2 Signaling 86
3 Feedback 91
4 Combining Multiple Feedback Loops 98
5 Concluding Remarks 102
Acknowledgments 103
References 103
Social Sciences 106
Topographic Spreading Analysis of an Empirical Sex Workers’ Network 107
1 Introduction 107
2 Uniform Transmission Model 109
3 Links Weighted with Transmission Probabilities 113
4 Spreading on the Gonorrhea Graph 120
5 Summary and Discussion 123
Acknowledgments 126
References 126
Spectral Characterization of Network Structures and Dynamics 127
1 Introduction 127
2 Growing Networks 128
3 Graph Operators and their Spectral Properties 129
4 Functional and Dynamical Aspects Determined by the First Eigenvalue 134
5 Spectral Plots and What They May Tell Us 135
References 140
Dynamics of Social Complex Networks: Some Insights into Recent Research 143
1 Introduction: Social Networks as Complex Networks 143
2 Approaching the Dynamics on and of Social Networks Separately 144
3 Coevolution: Social Networks and Phenomena 146
4 Conclusions 150
References 151
The Structure and Dynamics of Linguistic Networks 154
1 Introduction 154
2 Lexical Networks 155
3 Word Co-Occurrence Networks 159
4 Phonological Networks 162
5 Applications in NLP and IR 164
6 Conclusion 169
References 171
Networks Generated from Natural Language Text 176
1 Introduction 176
2 Power Laws in Rank-Frequency Distribution 177
3 Scale-Free Small Worlds in Language Data 182
References 192
Information Sciences 195
Efficiency of Navigation in Indexed Networks 196
1 Introduction 196
2 Indexing and Search Schemes 197
3 Network Models 200
4 Numerical Results 201
5 Discussion 204
References 204
Evolution of Apache Open Source Software 206
1 Software: A General Paradigm for Network Systems? 206
2 The Apache Call Graphs 208
3 Evolution of Apache: Global Measures 208
4 Evolution of Apache: Models of Network Structure 215
5 Discussion and Conclusions 220
Acknowledgments 221
References 221
Some New Applications of Network Growth Models 223
1 Introduction 223
2 The Model 226
3 Generating Networks with Desired Properties 229
4 Preserving Network Structure from Disruptions 235
5 Conclusion 240
Acknowledgments 241
References 241
The Big Friendly Giant: The Giant Component in Clustered Random Graphs 243
1 Introduction 243
2 Generating Functions 245
3 The Critical Point 248
4 The Size of the GC and Its Robustness 252
5 Simulations and Real Data 254
6 Discussion 255
Acknowledgments 256
References 256
Technological Networks 259
1 Introduction 259
2 The Internet 260
3 Peer-to-Peer Networks 268
4 Conclusion 277
References 278
Advances in the Theory of Complex Networks 281
1 Introduction 281
2 The ABC of Complex Networks 281
3 Two Current Hot Problems in Complex Networks 289
4 Concluding Remarks 297
References 297
Glossary of Essential Terms 300
Index 306
Erscheint lt. Verlag | 20.6.2009 |
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Reihe/Serie | Modeling and Simulation in Science, Engineering and Technology | Modeling and Simulation in Science, Engineering and Technology |
Zusatzinfo | XIV, 305 p. 98 illus. |
Verlagsort | Boston |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
Mathematik / Informatik ► Informatik ► Theorie / Studium | |
Informatik ► Weitere Themen ► Hardware | |
Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
Naturwissenschaften ► Physik / Astronomie | |
Technik ► Nachrichtentechnik | |
Schlagworte | Biological Networks • Complexity • complex network • complex networks • ecological networks • genetic pathways • Graph • linguistic systems • networks in information sciences • Nonlinear Dynamics • peer-to-peer networks • Social Networks • Statistical Physics • World Wide Web |
ISBN-10 | 0-8176-4751-1 / 0817647511 |
ISBN-13 | 978-0-8176-4751-3 / 9780817647513 |
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