全球参与式创新社区中弹性、惯性和信息觅食的影响

L. Yilmaz
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引用次数: 0

摘要

本文模拟了知识创造的自适应周期和知识网络的协同演化过程,探讨了哪些行为机制和互动规则赋予了有利于创新的社区结构。具体而言,我们使用小世界网络和聚类系数作为代理度量来研究领域容忍度、接受性、惯性和流动性对稳定性和创新潜力的影响。初步结果表明,中等和高接受度群落能够在其一生中平衡综合分化,而日益增长的惯性会导致紧张和溢出。此外,中等和高水平的奖励敏感性始终会产生有凝聚力的协作网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Impact of Resilience, Inertia, and Information Foraging in Global Participatory Innovation Communities
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.
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