04655cam a2200541Mi 4500 ocn893676514 OCoLC 20190328114809.0 m o d cr cn||||||||| 141009t20152015enka ob 000 0 eng d E7B eng rda pn E7B OCLCO UIU UMI DEBBG DEBSZ EBLCP OCLCO OCLCF OCLCO OCLCQ OCLCO OCLCQ MERUC OCLCQ OCLCA U3W D6H CEF OCLCQ 892240110 895913687 9780128011560 (e-book) 0128011564 (e-book) 0128008911 9780128008911 9780128008911 (OCoLC)893676514 (OCoLC)892240110 (OCoLC)895913687 TK5105.59 .H496 2015eb 005.8 23 Hexmoor, Henry, author. Computational network science : an algorithmic approach / [electronic resource] Henry Hexmoor. Waltham, Massachusetts : Morgan Kaufmann, 2015. �2015 1 online resource (129 pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Computer Science Reviews and Trends Includes bibliographical references at the end of each chapters. Online resource; title from PDF title page (ebrary, viewed October 9, 2014). 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 -- Barab�asi 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. 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. Computer networks Security measures. Computer security. Internet Security measures. Computer networks Security measures. fast (OCoLC)fst00872341 Computer security. fast (OCoLC)fst00872484 Internet Security measures. fast (OCoLC)fst01751426 Electronic books. Print version: Hexmoor, Henry. Computational network science : an algorithmic approach. Waltham, Massachusetts : Morgan Kaufmann, �2015 x, 118 pages 9780128008911 Computer science reviews and trends. ScienceDirect http://www.sciencedirect.com/science/book/9780128008911 246974 246974