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Exploring the impact of social communication on the innovation potential of epistemic communities

As the science enterprise becomes 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 agent-based computational model that aims to study dynamic processes of collective creativity in scientific communities. Experimental results indicate that under low communication frequency, openness and receptivity lead to higher variety. On the contrary, variety decreases with increasing receptivity under high communication frequency. Additionally, balance theory leads to higher levels of knowledge diffusion efficiency.