Author: Peter R. Monge
Edition:
Publisher: Oxford University Press, USA
Binding: Paperback
ISBN: 0195160371
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You Save: 28%
Theories of Communication Networks
To date, most network research contains one or more of five major problems.Theories of Communication Networks review. 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 networksRead full reviews of Theories Of Communication Networks By Monge (uo).
Read theories of communication networks peter r. monge/ noshir contractor reviews by
author noshir s contractor author peter r monge format paperback language english publication year 01 04 2003 subject social sciences subject 2 communication media title theories of communication networks author peter r monge noshir contractor publisher oxford univ pr publication date apr 01 2003 pages 406 binding paperback dimensions 6 25 wx 9 25 hx 1 00 d isbn 0195160371 subject business economics management description to date most network research contains one or more of five major problem
presents ... Theories of Communication Networks by Monge (UO) ISBN: 0195160371 Author: Monge, Peter R.; Contractor, Noshir Publisher: Oxford University Press, USA Release Date: 2003-03-27 Seller Category: -- Qty Available: 1 Condition: Used: Good Sku: 92670 Notes: Choose Expedited Shipping for fastest delivery! Used Texts May Have Used Book Stickers on the Cover. Free USPS Tracking Number. Used texts may NOT contain supplemental materials such as CD's, info-trac, access codes, etc... Satisfacti
Store Search search Title, ISBN and Author Theories of Communication Networks by Peter R. Monge, Noshir Contractor Estimated delivery 3-12 business days Format Paperback Condition Brand New 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
Theories of Communication Networks, ISBN-13: 9780195160376, ISBN-10: 0195160371
WingSpan Press 9781595943422 Advances in Systems Theory: Control, Communication Networks, Production Systems Rational Behavior Description A Tribute to Professor Semyon M. Meerkov on his 70th Birthday This volume grew out of the friendship and appreciation that the editors and contributors have for Professor Semyon M. Meerkov as a scholar and mentor. Its purpose is to highlight the mentorship achievements of Professor Meerkov and to honor him on the occasion of his 70th birthday. It consists of
Theories of Communication Networks Reviews
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.
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