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On the Impact of Resilience, Inertia, and Information Foraging in Global Participatory Innovation Communities

机译:弹性,惯性和信息搜寻对全球参与式创新社区的影响

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The adaptive cycle of knowledge creation and co-evolution of knowledge networks are simulated to examine what behavioral mechanisms and rules of interaction confer community structures conducive to innovation. Specifically, we use small-world network and clustering coefficient as a proxy metric to study the impact of domain tolerance, receptivity, inertia, and mobility on stability and innovation potential. Preliminary results suggest that medium and high receptivity communities are able to balance integrated differentiation over their lifetime, while growing inertia lead to tension and spillovers. Also, medium and high levels of reward sensitivity consistently generate cohesive collaboration networks.
机译:模拟了知识创造和知识网络的共同进化的适应性循环,以研究哪些行为机制和相互作用规则赋予了有助于创新的社区结构。具体来说,我们使用小世界网络和聚类系数作为代理指标来研究域容忍度,接受度,惯性和移动性对稳定性和创新潜力的影响。初步结果表明,中等和高接受度社区能够平衡其一生中的综合分化,而惯性的增长会导致紧张和溢出。同样,中等和高水平的奖励敏感性始终会产生凝聚力的协作网络。

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