Abstract
A simple model for simulating tug of war game as varying the player number in a team is discussed to identify the slow pace of fast change. This model shows that a large number of information sources leads slow change for the system. Also, we introduce an opinion diffusion model including the effect of a high degree of clustering. This model shows that the de facto standard and lock-in effect, well-known phenomena in economics and business management, can be explained by the network clusters.
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Jung, WS., Moon, HT. & Eugene Stanley, H. Dynamics of clustered opinions in complex networks. J Econ Interac Coord 3, 81–88 (2008). https://doi.org/10.1007/s11403-008-0031-9
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DOI: https://doi.org/10.1007/s11403-008-0031-9