Computing Reviews
Today's Issue Hot Topics Search Browse Recommended My Account Log In
Review Help
Search
Social networks : a framework of computational intelligence
Pedrycz W., Chen S., Springer Publishing Company, Incorporated, New York, NY, 2013. 450 pp.  Type: Book (978-3-319029-92-4)
Date Reviewed: Jul 2 2014

This interesting book is about social networks (well beyond the expected Facebook and Twitter) and the many tools from the world of computational intelligence that provide a framework for analyzing and drawing conclusions from them. There are 19 papers, each with relevant references, and an overall index that is helpful but not particularly detailed. Pedrycz and Chen have selected a broad international set of authors that report on a wide range of social network issues and computational intelligence tools. There is a wide variation in the technical depth of the papers, but each is organized in an effective manner for skimming, reading, or studying.

The common view here is that a social network is an architecture linking actors. The study of a social network focuses on detecting patterns, influential entities, and network dynamics. Social networks tend to be complex, self-organizing, and emerging in importance, all of which point to the tools of computational intelligence as the appropriate vehicles for extracting new insights.

To give a readers a sense of the range of social network issues addressed, here is a brief characterization of major topics: detecting community structures; personalization; concept analysis; cyber attacks with state involvement; mobile blogs (moblogs); uncertainty propagation and trust aggregation; social welfare; a visual summary of topic clusters in Twitter; personal intelligence; attention economics; knowledge transfer and sharing; sleepy lizards behavior; the drama process in learning; the product life cycle; tweet cluster analysis; the global spread of Islamism; and economic growth and birth rates. The various topics are quite interesting, and the papers are able to provide helpful context on applications for social networks.

Equally impressive is the range of computational intelligence tools applied to the various networks. These include innovative applications of graph theory; integer programming; adaptive semantics; regression models; fuzzy sets, logic, and models; game theory; genetic algorithms; clustering; agents; sampling; neural networks; swarms; business process modeling; fuzzy c-means; k-nearest neighbor; and hybrids of two or more of the techniques. Some of the algorithms associated with these are explained in some detail, while others assume some familiarity on the part of the reader.

Each paper is essentially self-contained, but the whole is in many ways more than the sum of its parts. This is a rather remarkable collection that is both timely and anticipatory of coming developments and synergy in the application of computational intelligence to social networks. Only a couple of the papers could have been helped by editing to smooth out English usage and grammar, but most are quite well written. I recommend this fascinating volume to practitioners, researchers, and students with an interest in any aspect of applying computational intelligence techniques and tools to extract insights from social networks.

Reviewer:  M. G. Murphy Review #: CR142463 (1410-0830)
Bookmark and Share
  Reviewer Selected
Featured Reviewer
 
 
Social Networking (H.3.4 ... )
 
 
Applications And Expert Systems (I.2.1 )
 
 
Frameworks (D.3.3 ... )
 
 
Web-Based Interaction (H.5.3 ... )
 
Would you recommend this review?
yes
no
Other reviews under "Social Networking": Date
I need your encouragement!: Requesting supportive comments on social media reduces test anxiety
Deloatch R., Bailey B., Kirlik A., Zilles C.  CHI 2017 (Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, Denver, CO,  May 6-11, 2017) 736-747, 2017. Type: Proceedings
Nov 15 2017
Multilayer social networks
Dickison M., Magnani M., Rossi L.,  Cambridge University Press, New York, NY, 2016. 208 pp. Type: Book (978-1-107438-75-0)
Oct 26 2017
What technological features are used in smartphone apps that promote physical activity? A review and content analysis
Mollee J., Middelweerd A., Kurvers R., Klein M.  Personal and Ubiquitous Computing 21(4): 633-643, 2017. Type: Article
Oct 12 2017
more...

E-Mail This Printer-Friendly
Send Your Comments
Contact Us
Reproduction in whole or in part without permission is prohibited.   Copyright © 2000-2017 ThinkLoud, Inc.
Terms of Use
| Privacy Policy