Article
A Model Study Based on Social Network Relational Dimensions and Structural Dimensions
Authors
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.
Keywords
complementarity, network status heterogeneity, network status-based faults, group tie density, 03C30
Citation
Yu, J. (2020). A model study based on social network relational dimensions and structural dimensions. Applied Mathematics and Nonlinear Sciences, 5(2). https://doi.org/10.2478/amns.2020.2.00005
J. Yu, “A model study based on social network relational dimensions and structural dimensions,” Applied Mathematics and Nonlinear Sciences, vol. 5, no. 2, 2020, doi: 10.2478/amns.2020.2.00005.
Yu J. A model study based on social network relational dimensions and structural dimensions. Applied Mathematics and Nonlinear Sciences. 2020;5(2). doi:10.2478/amns.2020.2.00005.
Yu, J. (2020), ‘A model study based on social network relational dimensions and structural dimensions’, Applied Mathematics and Nonlinear Sciences, 5(2). Available at: https://doi.org/10.2478/amns.2020.2.00005.
Yu, Jiangman. “A Model Study Based on Social Network Relational Dimensions and Structural Dimensions.” Applied Mathematics and Nonlinear Sciences, vol. 5, no. 2, 2020. https://doi.org/10.2478/amns.2020.2.00005.
Yu, Jiangman. “A Model Study Based on Social Network Relational Dimensions and Structural Dimensions.” Applied Mathematics and Nonlinear Sciences 5, no. 2 (2020). https://doi.org/10.2478/amns.2020.2.00005.
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Published by: Engineering Journals
