Computational network science : an algorithmic approach /

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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 wit...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hexmoor, Henry, 1960- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Waltham, Massachusetts : Morgan Kaufmann, 2015.
Colección:Computer science reviews and trends.
Temas:
Computer networks > Security measures.
Computer security.
Internet > Security measures.
Computer Security
Réseaux d'ordinateurs > Sécurité > Mesures.
Sécurité informatique.
Internet > Sécurité > Mesures.
Computer networks > Security measures
Computer security
Internet > Security measures
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
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.
  • 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.

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