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.
Item Type: | Journal article |
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Keywords: | ABM, Norms, Social Influence |
Faculties: | Philosophy, Philosophy of Science and Religious Science > Munich Center for Mathematical Philosophy (MCMP) Philosophy, Philosophy of Science and Religious Science > Munich Center for Mathematical Philosophy (MCMP) > Philosophy of Science |
Subjects: | 100 Philosophy and Psychology > 100 Philosophy |
ISSN: | 1460-7425 |
Language: | English |
Item ID: | 28968 |
Date Deposited: | 29. Jul 2016, 06:40 |
Last Modified: | 04. Nov 2020, 13:07 |