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论文类型：期刊论文

发表时间：2016-02-01

发表刊物：IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS

收录刊物：SCIE、EI、SSCI、Scopus

卷号：46

期号：2

页面范围：271-281

ISSN号：2168-2216

关键字：Agent-based model; collective creativity; communication theories; creative artificial ecosystems

摘要：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.