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Data Analysis and Knowledge Discovery  2019, Vol. 3 Issue (12): 84-92    DOI: 10.11925/infotech.2096-3467.2019.0713
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Investing Behaviors of Core Communities in Venture Capital Network
Pingnan Ruan1,Qianying Wang1,Juan Yang1(),Yunfeng Wei2
1 The College of Economics and Management, Beijing University of Technology, Beijing 100124, China
2 The College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China
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Abstract  

[Objective] This paper analyzes the investing behaviors of core communities, aiming to help venture capital institutions choose syndicate partners.[Methods] First, we collected events of venture capital investments in China from 2006 to 2017. Then, we used R to extract syndicate matrix and constructed the venture capital network. Finally, we identified the needed communities with Louvain algorithm and the core community structure coefficient. [Results] Various core communities were different in investing industries, areas and stages. Members of the core community increasingly invested in information services and cultural education industries from the developed regions at the initial stage. [Limitations] The proposed network was built according to the syndication, which did include the relationship between leading and following investments. [Conclusions] Identifying the core communities will help us understand the changing behaviors of the community’s investments.

Key wordsVenture Capital Network      Community Division      Core Community Identification      Investment Behavior     
Received: 19 June 2019      Published: 25 January 2020
ZTFLH:  F830  
Corresponding Authors: Juan Yang     E-mail: yangjuan@bjut.edu.cn

Cite this article:

Pingnan Ruan,Qianying Wang,Juan Yang,Yunfeng Wei. Investing Behaviors of Core Communities in Venture Capital Network. Data Analysis and Knowledge Discovery, 2019, 3(12): 84-92.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2019.0713     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2019/V3/I12/84

社团 节点 平均度 平均
加权度
平均
聚类系数
平均
路径长度
444 1 238 6 851 13.183 33.759 0.729 2.958
329 1 043 4 683 8.816 20.057 0.674 3.105
433 638 1 807 6.866 12.818 0.810 3.250
投资行业 投资地域 投资阶段
社团
444
信息服务68.88%,
制造业13.59%,
文化教育11.17%
京津冀43.69%,
长三角30.38%,
珠三角12.14%
初创期43.89%, 扩张期33.42%, 种子期11.77%, 成熟期10.07%
社团
329
信息服务74.58%,
制造业10.97%,
文化教育8.34%
国外84.17%,
京津冀3.29%,
长三角2.36%
扩张期52.67%, 初创期39.81%, 成熟期5.43%, 种子期2.02%
社团
433
制造业56.7%,
信息服务28.53%,
文化教育8.71%
京津冀25.95%,
长三角24.4%,
国外21.17%
成熟期43.71%, 扩张期37.47%, 初创期16.83%, 种子期1.59%
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