Computational network science an algorithmic approach
The emerging field of network science represents a new style of research that can unify such traditionally-diverse fields as sociology, economics, physics, biology, and computer science. It is a powerful tool in analyzing both natural and man-made systems, using the relationships between players wi...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Waltham, Massachusetts :
Morgan Kaufmann
2015.
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| Edición: | 1st edition |
| Colección: | Computer Science Reviews and Trends
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628695206719 |
Tabla de Contenidos:
- Cover; Title Page; Copyright Page; Table of contents; Preface; References; Chapter 1 - Ubiquity of Networks; 1.1 - Introduction; 1.2 - Online social networking services; 1.3 - Online bibliographic services; 1.4 - Generic network models; 1.4.1 - Random Networks; 1.4.2 - Scale-Free Networks; 1.4.3 - Trade-Off Model; 1.4.4 - Game Theoretic Models; 1.5 - Network model generators; 1.5.1 - Kleinberg's Small-World Model; 1.5.2 - Barabási and Albert's Scale-Free Network Generator; 1.5.3 - Epstein and Wang's Power-Law Network Generator; 1.6 - A real-world network; 1.7 - Conclusions
- ReferencesChapter 2 - Network Analysis; 2.1 - Conclusions and future work; References; Chapter 3 - Network Games; 3.1 - Game theory introduction; 3.2 - Congestion games and resource pricing; 3.3 - Cooperation in network synthesis game; 3.4 - Bayesian games; 3.5 - Applications; 3.5.1 - Packet Forwarding Game; 3.5.2 - Medium Access: Bandwidth Auction Game; 3.5.3 - Security Games; 3.6 - Conclusion; References; Chapter 4 - Balance Theory; 4.1 - Conclusion; References; Chapter 5 - Network Dynamics; 5.1 - Evolutionary and volatile network dynamics; 5.2 - Time graphs
- 5.3 - Markov chains5.4 - Strategic network partnering using Markov decision processes; 5.5 - Conclusion; References; Chapter 6 - Diffusion and Contagion; 6.1 - Population preference spread; 6.2 - Percolation model; 6.3 - Disease epidemic models; 6.4 - Community detection; 6.4.1 - Spectral Clustering; 6.4.2 - Hierarchical Clustering; 6.4.3 - Cascade Model; 6.4.4 - Independent Contagion Model; 6.4.5 - Node-Centric Community Detection; 6.5 - Community correlation versus influence; 6.6 - Conclusion; References; Chapter 7 - Influence Diffusion and Contagion; 7.1 - Stochastic model
- 7.2 - Social learning7.3 - Social media influence; 7.3.1 - Social Media: A Case for Facebook and Twitter; 7.3.2 - Klout Score; 7.4 - Conclusion; References; Chapter 8 - Power in Exchange Networks; 8.1 Conclusion; References; Chapter 9 - Economic Networks; 9.1 - Network effects; 9.2 - Conclusion; References; Chapter 10 - Network Capital; 10.1 - Social capital used for physical capital access; 10.1.1 - Intermediaries; 10.1.2 - A Basic Protocol for Resource Access Using Social Capital; 10.2 - Conclusion; References; Chapter 11 - Network Organizations; 11.1 Conclusion ; References
- Chapter 12 - Emerging Trends12.1 - Conclusion; References; Appendix
