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Networks and collective action

Authors: Ramón Flores; Maurice Koster; Ines Lindner; Elisenda Molina;

Networks and collective action

Abstract

Given a social network, we are interested in the problem of measuring the influence of a group of agents to lead the society to adopt their behavior. Motivated by the description of terrorist movements, we provide a markovian dynamical model for non-symmetric societies, which takes into account two special features: the hard core terrorist group cannot be influenced, and the remaining agents may change from active to non-active and vice versa during the process. In this setting, we interpret the absorption time of the model, which measures how quickly the terrorist movement achieve the support of all society, as a group measure of power. In some sense, our model generalizes the classical approach of DeGroot to consensus formation

Country
Netherlands
Keywords

Markovscher Prozess, 330, ddc:330, Gruppenentscheidung, Influence and diffusion models, Group centrality measures, Estadística, Influence and Diffusion models, Soziales Netzwerk, Social networks, D71, Graphentheorie, C79, D01, Network intervention, Collective action, Social networks, Influence and diffusion models, Network intervention, Group centrality measures, Collective action, jel: jel:D71, jel: jel:C79, jel: jel:D01

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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6
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7
38
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bronze