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- W2587001696 abstract "The Vicsek model of collective motion is known to undergo a noise-induced phase transition from a disorderd state with random velocities, to a collectively ordered state where all the particles tend to move in the same spontaneously selected direction. In this work, we have studied the outcome of this model on various social network topologies, in order to investigate how social interactions affect the transfer of directional information. The original results for off-lattice particles are first reproduced. The model is then implemented on random and small-world graphs, where the effects of increasing connectivity, in the first case, and the long-range interactions brought about by the rewiring of edges, in the second case, are studied. On the other hand, scale-free topologies are found to have a higher critical noise than homegeneous topologies with the same connectivity, with the high-degree nodes playing a crucial role. Weighted interactions are also studied, for which there is found to exist an optimal weighting exponent which gives the highest possible value of the order parameter at equilibrium." @default.
- W2587001696 created "2017-02-17" @default.
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- W2587001696 date "2016-06-21" @default.
- W2587001696 modified "2023-09-27" @default.
- W2587001696 title "Effects of social interactions in collective motion" @default.
- W2587001696 hasPublicationYear "2016" @default.
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