Handbook of Graphs and Networks – From the Genome to the Internet
Wiley-VCH Verlag GmbH (Hersteller)
978-3-527-60275-9 (ISBN)
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Complex interacting networks are observed in systems from such diverse areas as physics, biology, economics, ecology, and computer science. For example, economic or social interactions often organize themselves in complex network structures. Similar phenomena are observed in traffic flow and in communication networks as the Internet. In current problems of the Biosciences, prominent examples are protein networks in the living cell, as well as molecular networks in the genome. On larger scales one finds networks of cells as in neural networks, up to the scale of organisms in ecological food webs. This book defines the field of complex interacting networks in its infancy and presents the dynamics of networks and their structure as a key concept across disciplines. The contributions present common underlying principles of network dynamics and their theoretical description and are of interest to specialists as well as to the non-specialized reader looking for an introduction to this new exciting field.
Theoretical concepts include modeling networks as dynamical systems with numerical methods and new graph theoretical methods, but also focus on networks that change their topology as in morphogenesis and self-organization. The authors offer concepts to model network structures and dynamics, focussing on approaches applicable across disciplines.
Authors: Lada A. Adamic, Uri Alon, Daniel ben--Avraham, Albert--Laslo Barabasi, Bela Bollobas, Reuven Cohen, Sergei N. Dorogovtsev, Barbara Drossel, Shlomo Havlin, Bernardo A. Huberman, Sanjay Jain, Wolfgang Kinzel, Alan Kirman, Sandeep Krishna, Rajan M. Lukose, Sergei Maslov, Alan J. McKane, Jose F. F. Mendes, Kai Nagel, Mark Newman, Romualdo Pastor--Satorras, Oliver M. Riordan, Kim Sneppen, Ricard V. Sole, Sorin Solomon, Ralf J. Sommer, Alessandro Vespignani, Gerard Weisbuch
Bela Bollobas and Oliver Riordan: 1. Mathematical Results on Scale--free Random Graphs Mark Newman: 2. Random Graphs as Models of Networks Albert--Lazlo Barabasi: 3. Emergence of Scaling in Complex Networks R. Cohen, S. Havlin, and D. ben--Avraham: 4. Structural Properties of Scale--Free Networks Romualdo Pastor--Satorras and Alessandro Vespignani: 5. Epidemics and Immunization in Scale--free Networks Ralf J. Sommer: 6. Cells and Genes as Networks in Nematode Development and Evolution Ricard V. Sole and Romualdo Pastor--Satorras: 7. Complex Networks in Genomics and Proteomics Sergei Maslov, Kim Sneppen and Uri Alon: 8. Correlation Profiles and Motifs in Complex Networks Wolfgang Kinzel: 9. Theory of Interacting Neural Networks B. Drossel and A. J. McKane: 10. Modelling Food Webs Kai Nagel: 11. Traffic Networks Alan Kirman: 12. Economic Networks Lada A. Adamic, Rajan M. Lukose and Bernardo A. Huberman: 13. Local Search in Unstructured Networks S.N. Dorogovtsev and J.F.F. Mendes: 14. Accelerated Growth of Networks Gerard Weisbuch and Sorin Solomon: 15. Social Percolators and Self Organized Criticality Sanjay Jain and Sandeep Krishna: 16. Graph Theory and the Evolution of Autocatalytic Networks
| Erscheint lt. Verlag | 28.1.2005 |
|---|---|
| Verlagsort | Weinheim |
| Sprache | englisch |
| Maße | 130 x 250 mm |
| Gewicht | 666 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Graphentheorie |
| ISBN-10 | 3-527-60275-5 / 3527602755 |
| ISBN-13 | 978-3-527-60275-9 / 9783527602759 |
| Zustand | Neuware |
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