Simulating Trends in Artificial Influence Networks
Authored by Hannah Uebler, Stephan Hartmann
Date Published: 2016
DOI: 10.18564/jasss.2978
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Abstract
We present a study of the spreading of trends in artificial social
influence networks using agent based models. We concentrate on basic
properties of the agents which describe their individual attitudes
towards a trend, as well as the influence which they exert in their
social neighbourhood. Using a simple random network, we investigate the
impact of network dynamicity, situations of opposing trends, and the
disappearance of trends. A `community' network is used to study the
impact of group cohesiveness and connectors for the spreading of trends
in social communities.
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