Journal of Social Computing 2021, 2(1): 27-42 https://doi.org/10.23919/JSC.2020.0008

Open Access | Issue | Published: 16 February 2021

How to Better Identify Venture Capital Network Communities: Exploration of A Semi-Supervised Community Detection Method

Show Author's Information Hide Author's Information Hong Xiong, Ying Fan(

)

School of Systems Science, Beijing Normal University, Beijing 100875, China

Keywords:

complex network, community detection, Venture Capital (VC)

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Xiong H, Fan Y. How to Better Identify Venture Capital Network Communities: Exploration of A Semi-Supervised Community Detection Method. Journal of Social Computing, 2021, 2(1): 27-42. https://doi.org/10.23919/JSC.2020.0008

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Abstract

In the field of Venture Capital (VC), researchers have found that VC companies are more likely to jointly invest with other VC companies. This paper attempts to realize a semi-supervised community detection of the VC network based on the data of VC networking and the list of industry leaders. The main research method is to design the initial label of community detection according to the evolution of components of the VC industry leaders. The results show that the community structure of the VC network has obvious distinguishing characteristics, and the aggregation of these communities is affected by the type of institution, the source of capital, the background of personnel, and the field of investment and the geographical position. Meanwhile, by comparing the results of the semi-supervised community detection algorithm with the results of community detection using extremal optimization, it can be shown to some extent that the semi-supervised community detection results in the VC network are more accurate and reasonable.

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About this article

How to Better Identify Venture Capital Network Communities: Exploration of A Semi-Supervised Community Detection Method

Show Author's information Hide Author's Information Hong Xiong, Ying Fan(

)

School of Systems Science, Beijing Normal University, Beijing 100875, China

Abstract

Keywords: complex network, community detection, Venture Capital (VC)

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Acknowledgements

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Publication history

Received: 26 June 2020

Accepted: 07 September 2020

Published: 16 February 2021

Issue date: March 2021

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Acknowledgements

We are grateful for the financial support from the Chinese Natural Science Foundation Project "Social Network in Big Data Analysis: A Case in Investment Network" (Nos. 71372053 and 71731002), as well as the support from the Tencent Research Institute Project "Research on Identification of Opinion Leaders Based on QQ Big Data" (No. 20182001706).

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The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).