Research on Formation Factors of Interdisciplinary Collaborative Innovation Network in Universities Based on Exponential Random Graph Model
- 10.2991/icmess-18.2018.91How to use a DOI?
- Collaborative innovation network; Exponential random graph model; Formation factors; Interdisciplinary
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.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Limei Wang PY - 2018/06 DA - 2018/06 TI - Research on Formation Factors of Interdisciplinary Collaborative Innovation Network in Universities Based on Exponential Random Graph Model BT - Proceedings of the 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018) PB - Atlantis Press SP - 414 EP - 419 SN - 2352-5398 UR - https://doi.org/10.2991/icmess-18.2018.91 DO - 10.2991/icmess-18.2018.91 ID - Wang2018/06 ER -