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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
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
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
| 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). | 6 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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