UID:
almafu_9960073574302883
Umfang:
1 online resource (129 p.)
Ausgabe:
1st edition
ISBN:
9780128011560
,
0128011564
Serie:
Computer Science Reviews and Trends
Inhalt:
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 within these networks and between the networks themselves to gain insight into the nature of each field. Until now, studies in network science have been focused on particular relationships that require varied and sometimes-incompatible datasets, which has kept it from being a truly universal disciplin
Anmerkung:
Description based upon print version of record.
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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
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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
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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
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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
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Chapter 12 - Emerging Trends12.1 - Conclusion; References; Appendix
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English
Weitere Ausg.:
ISBN 9780128008911
Weitere Ausg.:
ISBN 0128008911
Weitere Ausg.:
ISBN 9781322158518
Weitere Ausg.:
ISBN 1322158517
Sprache:
Englisch
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