Exploring the Impact of Social Communication on the Innovation Potential of Open Science Communities
通过实验模型研究社会沟通策略对科学社区创新能力的影响，发现低沟通频率和开放性可提高多样性，而高沟通频率下高接受性会降低多样性。
As scientific communities become increasingly complex and interdisciplinary, implementing policies that foster collective creativity for science-based innovation emerges as a critical issue. In this paper, we investigate the impact of socio-communication strategies on innovation capacity based on experiments using a general-purpose model that aims to study dynamic processes of collective creativity in scientific communities. Experimental results indicate that low communication frequency, openness and receptivity lead to higher variety. On the contrary, variety decreases with increasing receptivity under high communication frequency. If more communication channels exist, the connectivity-driven preferential attachment strategy is beneficial in fostering innovation in terms of generated networks with low density and high centrality. Additionally, balance theory suggests higher levels of knowledge diffusion efficiency.