<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This paper uses the data of China’s venture capital industry in the CVSource and Zero2IPO databases from 1999 to 2018 as a research sample. By using UCINET software to build the entire network of venture capital industry for social network analysis, I calculate the group tie density based on network interaction, status heterogeneity and faults based on network centrality, to analyse whether those group network characteristics affect the complementarity effect. Based on this, I use probit model regression test to carry on an examination.</p></abstract>

This paper uses the data of China’s venture capital industry in the CVSource and Zero2IPO databases from 1999 to 2018 as a research sample. By using UCINET software to build the entire network of venture capital industry for social network analysis, I calculate the group tie density based on network interaction, status heterogeneity and faults based on network centrality, to analyse whether those group network characteristics affect the complementarity effect. Based on this, I use probit model regression test to carry on an examination.

A Model Study Based on Social Network Relational Dimensions and Structural Dimensions

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper uses the data of China’s venture capital industry in the CVSource and Zero2IPO databases from 1999 to 2018 as a research sample. By using UCINET...

A Model Study Based on Social Network Relational Dimensions and Structural Dimensions

Publié en ligne: 08 mai 2020

Pages: 121 - 128

Reçu: 17 mars 2020

Accepté: 03 avr. 2020

DOI: https://doi.org/10.2478/amns.2020.2.00005

Mots clés
complementarity, network status heterogeneity, network status-based faults, group tie density

© 2020 Yunjing Jiao, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

A Model Study Based on Social Network Relational Dimensions and Structural Dimensions

Publié en ligne: 08 mai 2020

Pages: 121 - 128

Reçu: 17 mars 2020

Accepté: 03 avr. 2020

DOI: https://doi.org/10.2478/amns.2020.2.00005

Mots cléscomplementarity, network status heterogeneity, network status-based faults, group tie density

© 2020 Yunjing Jiao, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
complementarity, network status heterogeneity, network status-based faults, group tie density