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Theories of Communication Networks
 
 

Theories of Communication Networks (Paperback)

by Peter R. Monge (Author), Noshir S. Contractor (Author) "Communication networks are the patterns of contact that are created by the flow of messages among communicators through time and space ..." (more)
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Product details

  • Paperback: 432 pages
  • Publisher: OUP USA (15 May 2003)
  • Language English
  • ISBN-10: 0195160371
  • ISBN-13: 978-0195160376
  • Product Dimensions: 23.2 x 15.2 x 2.2 cm
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon.co.uk Sales Rank: 259,385 in Books (See Bestsellers in Books)
  • See Complete Table of Contents

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Product Description

Product Description

To date, most network research contains one or more of five major problems. First, it tends to be atheoretical, ignoring the various social theories that contain network implications. Second, it explores single levels of analysis rather than the multiple levels out of which most networks are comprised. Third, network analysis has employed very little the insights from contemporary complex systems analysis and computer simulations. Foruth, it typically uses descriptive rather than inferential statistics, thus robbing it of the ability to make claims about the larger universe of networks. Finally, almost all the research is static and cross-sectional rather than dynamic. Theories of Communication Networks presents solutions to all five problems. The authors develop a multitheoretical model that relates different social science theories with different network properties. This model is multilevel, providing a network decomposition that applies the various social theories to all network levels: individuals, dyads, triples, groups, and the entire network. The book then establishes a model from the perspective of complex adaptive systems and demonstrates how to use Blanche, an agent-based network computer simulation environment, to generate and test network theories and hypotheses. It presents recent developments in network statistical anlysis, the p* family, which provides a basis for valid multilevel statistical inferences regarding networks. Finally, it shows how to relate communication networks to other networks, thus providing the basis in conjunction with computer simulations to study the emergence of dynamic organizational networks.

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1 of 1 people found the following review helpful:
4.0 out of 5 stars Several Books in One?, 8 Mar 2007
This book really does three things. Firstly, it provides a critique of a lot of social network research. Essentially the research is not theoretically driven and fails to recognize that networks can be analysed at different levels - for instance in terms of individual nodes, in terms of dyads or triads or at a global level. Researchers need to do a better job of sorting out what their level of analysis is and which theories are actually applicable to this level. Secondly, it provides a 150 page review of the different theoretical approaches to social networks. Thirdly, the book advocates the employment of agent based modelling to understand the development of networks. Researchers can specify a set of agents and rules about how they can interact and then run simulations to see how the network would develop. They provide an introduction to software that allows you to do this. This third strand of the book sometimes gets in the way of the other two. Despite this reservation the book does a good job of sorting out some of the complexities that anyone coming to social network research is going to discover in the literature. The book also provides an introduction to social network concepts and terminology although it is probably too brief for the complete beginner.
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