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Advances in network complexity /
A well-balanced overview of mathematical approaches to describe complex systems, ranging from chemical reactions to gene regulation networks, from ecological systems to examples from social sciences. Matthias Dehmer and Abbe Mowshowitz, a well-known pioneer in the field, co-edit this volume and are...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Weinheim, Germany :
Wiley-Blackwell,
[2013]
|
| Colección: | Quantitative and network biology ;
v. 4. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Advances in network complexity / |c edited by Matthias Dehmer, Abbe Mowshowitz, and Frank Emmert-Streib. |
| 260 | |a Weinheim, Germany : |b Wiley-Blackwell, |c [2013] | ||
| 300 | |a 1 online resource (xiv, 293 pages .) | ||
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| 490 | 1 | |a Quantitative and network biology ; |v volume 4 | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (Wiley, viewed July 24, 2013). | |
| 520 | |a A well-balanced overview of mathematical approaches to describe complex systems, ranging from chemical reactions to gene regulation networks, from ecological systems to examples from social sciences. Matthias Dehmer and Abbe Mowshowitz, a well-known pioneer in the field, co-edit this volume and are careful to include not only classical but also non-classical approaches so as to ensure topicality. Overall, a valuable addition to the literature and a must-have for anyone dealing with complex systems. | ||
| 505 | 0 | |a 1. Functional complexity based on topology -- 2. Connections between artificial intelligence and conputational complexity and the complexity of graphs -- 3. Selection-based estimates of complexity unravel some mechanisms and selective pressures underlying the evolution of complexity in artificial networks -- 4. Three types of network complexity pyramid -- 5. Computational complexity of graphs -- 6. The linear complexity of a graph -- 7. Kirchhoff's matrix-tree theorem revisited: counting spanning trees with the quantum relative entropy -- 8. Dimension measure for complex networks -- 9. Information-based complexity of networks -- 10. Thermodynamic depth in undirected and directed networks -- 11. Circumscribed complexity in ecological networks -- 12. Metros as biological systems complexity in small real-life networks. | |
| 546 | |a English. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Computational biology. | |
| 650 | 0 | |a Biomedical engineering |x Mathematical models. | |
| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a System analysis. | |
| 650 | 0 | |a Computational complexity. | |
| 650 | 2 | |a Systems Analysis | |
| 650 | 2 | |a Computational Biology | |
| 650 | 6 | |a Complexité de calcul (Informatique) | |
| 650 | 6 | |a Analyse de systèmes. | |
| 650 | 6 | |a Bio-informatique. | |
| 650 | 6 | |a Génie biomédical |x Modèles mathématiques. | |
| 650 | 7 | |a systems analysis. |2 aat | |
| 650 | 7 | |a SCIENCE |x Life Sciences |x Biology. |2 bisacsh | |
| 650 | 7 | |a System analysis |2 fast | |
| 650 | 7 | |a Computational complexity |2 fast | |
| 650 | 7 | |a Bioinformatics |2 fast | |
| 650 | 7 | |a Biomedical engineering |x Mathematical models |2 fast | |
| 650 | 7 | |a Computational biology |2 fast | |
| 700 | 1 | |a Dehmer, Matthias, |d 1968- |e editor. | |
| 700 | 1 | |a Mowshowitz, Abbe, |e editor. | |
| 700 | 1 | |a Emmert-Streib, Frank, |e editor. | |
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| 830 | 0 | |a Quantitative and network biology ; |v v. 4. | |
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