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Author Hexmoor, Henry, 1960- author.

Title Computational network science : an algorithmic approach / Henry Hexmoor.

Publication Info. Waltham, Massachusetts : Morgan Kaufmann, 2015.
©2015

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Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
Description 1 online resource (129 pages) : illustrations
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Computer Science Reviews and Trends
Computer science reviews and trends.
Bibliography Includes bibliographical references at the end of each chapters.
Note Online resource; title from PDF title page (ebrary, viewed October 9, 2014).
Contents 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.
Summary 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.
Subject 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
Other Form: Print version: Hexmoor, Henry. Computational network science : an algorithmic approach. Waltham, Massachusetts : Morgan Kaufmann, ©2015 x, 118 pages 9780128008911
ISBN 9780128011560 (e-book)
0128011564 (e-book)
0128008911
9780128008911
9780128008911
Standard No. CHBIS 010261046
CHNEW 001012499
CHVBK 331148145
DEBBG BV042490168
DEBBG BV043612603
DEBSZ 431787018
DEBSZ 43413886X
DEBSZ 434833495
GBVCP 88284248X

 
    
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