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Theories of Communication Networks

by

Theories of Communication Networks Cover

 

Synopses & Reviews

Publisher Comments:

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 analysis, 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.

Synopsis:

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 analysis, 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.

Synopsis:

Includes bibliographical references (p. 331-376) and indexes.

Table of Contents

1. Networks and Flows in Organizational Communication

Part I: The Multitheoretical, Multilevel Framework

2. Network Concepts, Measures, and the Multitheoretical, Multilevel Analytical Framework

3. Communication and Knowledge Networks as Complex Systems

4. Computational Modeling of Networks

Part II: Social Theories for Studying Communication Networks

5. Theories of Self-Interest and Collective Action

6. Contagion, Semantic, and Cognitive Theories

7. Exchange and Dependency Theories

8. Homophily, Proximity, and Social Support Theories

9. Evolutionary and Coevolutionary Theories

Part III: Integration

10. MultiTheoretical, Multilevel Models of Communication and Other Organizational Networks

Appendix: Data Sets Used in Chapter 2

References

Author Index

Subject Index

Product Details

ISBN:
9780195160376
Author:
Monge, Peter R.
Author:
Contractor, Noshir
Author:
null, Noshir
Author:
null, Peter R.
Publisher:
Oxford University Press, USA
Location:
Oxford
Subject:
Information Management
Subject:
Business Communication
Subject:
Interpersonal communication
Subject:
Social interaction
Subject:
Business management
Subject:
Business Communication - General
Subject:
Management - General
Edition Number:
revised
Series Volume:
no. 86
Publication Date:
20030331
Binding:
TRADE PAPER
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
20 line illus
Pages:
432
Dimensions:
6.000 x 9.100 in 1.338 lb

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Related Subjects

Business » Communication
Business » Human Resource Management
Business » Management
History and Social Science » Politics » General
History and Social Science » Sociology » General

Theories of Communication Networks New Trade Paper
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$44.50 In Stock
Product details 432 pages Oxford University Press - English 9780195160376 Reviews:
"Synopsis" by , 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 analysis, 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.

"Synopsis" by , Includes bibliographical references (p. 331-376) and indexes.
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