Difference between revisions of "Decision making in social networks"
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| − | + | In a theoretical model on decisions in social networks (also called innovation adaptation), it was found that as the gap between the individual ́s perception of the options is high, the adoption speed increases if the dispersion of early adopters grows. It was also found that when there are hubs of [[common opinion]] the spread of adopting new ideas become faster<ref>[http://arxiv.org/ftp/arxiv/papers/1011/1011.3834.pdf Laciana, C. E., & Rovere, S. L. (2011). Ising-like agent-based technology diffusion model: Adoption patterns vs. seeding strategies. Physica A: Statistical Mechanics and Its Applications, 390(6), 1139–1149.]</ref>. | |
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==References== | ==References== | ||
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Revision as of 05:13, 24 March 2015
In a theoretical model on decisions in social networks (also called innovation adaptation), it was found that as the gap between the individual ́s perception of the options is high, the adoption speed increases if the dispersion of early adopters grows. It was also found that when there are hubs of common opinion the spread of adopting new ideas become faster[1].