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Based on three national awards data from 2011 to 2016, interdisciplinary collaborative innovation network in universities is constructed and the structure effects and exogenous effects that influence the formation of innovation network are put forward. An exponential random graph model (ERGM) is set up to identify factors that influence the formation of interdisciplinary collaborative innovation network in universities by model optimization. The results show that cooperation centrality, regional homogeneity and connectivity play positive roles in the formation of innovation network. Cooperation openness and experience have no significant influence and geographic proximity shows convergence trends. It provides a decisive reference for the development of interdisciplinary cooperation among universities. Keywords-Collaborative innovation network; Exponential random graph model; Formation factors; Interdisciplinary

Research on Formation Factors of Interdisciplinary Collaborative Innovation Network in Universities Based on Exponential Random Graph Model