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Intervention for Collective Action

Unpublished
Submitted: May 13, 2014
Last Updated: May 13, 2014
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To examine the effectiveness of strategies for promoting or repressing collective actions, we develop a stylized model of individuals participating in collective action. The model considers a heterogeneous population of individuals who must choose between binary options (i.e., participate or not), based on social influence principle, i.e., the more others participate, the more one is apt to do so as well. Individuals are heterogeneous in one network attribute (i.e., network connectivity) and two personal attributes (i.e., intrinsic motivation to participate and susceptibility to social influence). The pattern of inter-individual relationships depends on predefined topology of the network. Intervention is to promote or repress participation by controlling a number of individuals. A strategy aims at individuals with a particular trait, e.g., those who are best connected in the network. Intervention can be implemented before or after the occurrence of collective action. Building on different variations of networks structure, we compare the effects of intervention strategies differing in goals and timing.

 

Model Status

This model is currently unpublished.

Model Version: 1
Version Notes:

Platform: Matlab
Programming Language: Logo (variant)
Operating System: Microsoft Windows
Licensed Under: GNU GPL, Version 2
Instructions on Running This Model:

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