Analysis of ERGM Evolutionary Dynamics from a Multi-layer Network Perspective: Based on New Energy Vehicle Industry Data

Hansong Zou, Qin Liu

2021

Abstract

In the context of environment and energy bundle, the development of the economy has gradually entered into a new state, and more and more countries have started to pay attention to the environment and ecological development issues, and have made strategic deployment at the national macro level. In order to optimize the green innovation network and promote the development of green innovation, this study, from the perspective of a multi-layer network, uses the data of new energy vehicle patent citation, paper co-publication data, and production supply relationship data from 2009 to 2020, constructs a multi-layer network including paper knowledge network, innovation R&D network and production supply network to explore the evolution of structural characteristics of new energy vehicle innovation network, and uses principal component analysis to obtain knowledge capability and production capacity variables, and constructs ERGM model to analyze the evolutionary dynamics of the multilayer network. The results show that the innovation level of the new energy vehicle industry is closely related to the network structure; at the level of evolutionary dynamics, the number of partners, the degree of similarity in production level is positively related to partnership formation, the number of shared partners is negatively related to partnership formation, and the difference in knowledge level has no significant determining effect on relationship formation.

Paper Citation

in Harvard Style

Zou H. and Liu Q. (2021). Analysis of ERGM Evolutionary Dynamics from a Multi-layer Network Perspective: Based on New Energy Vehicle Industry Data. In Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA, ISBN 978-989-758-589-0, pages 390-397. DOI: 10.5220/0011346100003437

in Bibtex Style

@conference{pmbda21,
author={Hansong Zou and Qin Liu},
title={Analysis of ERGM Evolutionary Dynamics from a Multi-layer Network Perspective: Based on New Energy Vehicle Industry Data},
booktitle={Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,},
year={2021},
pages={390-397},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011346100003437},
isbn={978-989-758-589-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,
TI - Analysis of ERGM Evolutionary Dynamics from a Multi-layer Network Perspective: Based on New Energy Vehicle Industry Data
SN - 978-989-758-589-0
AU - Zou H.
AU - Liu Q.
PY - 2021
SP - 390
EP - 397
DO - 10.5220/0011346100003437