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

DOI

10.2991/icmess-18.2018.91How to use a DOI?

Keywords

Collaborative innovation network; Exponential random graph model; Formation factors; Interdisciplinary

Abstract

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.

Copyright

© 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/).

Download article (PDF)

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  -