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- W1556191189 abstract "CURRENT RESEARCH IN SOCIAL PSYCHOLOGY Volume 1, Issue 2, October 24, 1995 Submitted September 8, 1995 Resubmitted October 16, 1995 Accepted October 16, 1995 Assessing Fundamental Power Differences in Exchange Networks: Iterative GPI Michael J. Lovaglia University of Iowa John Skvoretz University of South Carolina Barry Markovsky University of Iowa David Willer University of South Carolina ABSTRACT Networks have been discovered for which Network Exchange Theory (NET Markovsky, Willer and Patton 1988; Lovaglia, Skvoretz, Willer and Markovsky 1995) fails to provide tenable predictions. Here we elaborate NET to create a more general method. We show not only when and where exchange networks break into simpler substructures, but propose rules to decisively classify networks and substructures as strong, weak, or equal power. In doing so, we advance general heuristics for power development in exchange networks and demonstrate the promise of an approach using reciprocal comparison of general heuristics, formal theory, and computer simulation. [page 8] - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - [page 9] INTRODUCTION Exchange networks must first be classified by power type before an accurate prediction of power distribution in the network can be made (Markovsky, Skvoretz, Willer, Lovaglia and Erger 1993). Here we classify networks as strong, weak, or equal power. In strong power networks, high power actors can use power with impunity. That is, over a series of exchange opportunities, they come to control nearly all available resources. By contrast, in weak power networks, power use by high power actors results in countervailing changes in exchange relations, changes that moderate future power use. Power in these networks reaches a stable equilibrium in which high power actors maintain a reliable, though moderate, advantage. That equilibrium point can be accurately predicted for positions in a wide variety of weak power networks (Skvoretz and Willer 1993; Lovaglia, Skvoretz, Willer and Markovsky 1995). Finally, in networks of equal power, no actor has an exchange advantage; thus, no resource differentiation is predicted in them. The Graph-theoretical Power Index (GPI) method developed by" @default.
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- W1556191189 date "1995-01-01" @default.
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- W1556191189 title "Assessing Fundamental Power Differences in Exchange Networks: Iterative GPI" @default.
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