创业投资网络社团划分与社团间差异分析
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摘要
选取1994～2017年的创业投资事件,构建并测度创业投资网络,划分网络社团并识别核心社团,比较核心社团间的差异。研究结论表明:创投网络具有小世界性,创投机构间便于"抱团"形成联合投资,深创投、IDG资本与红杉中国是网络中最有影响力的创投机构;以红杉中国、IDG资本为代表的核心社团与以深创投为代表的核心社团,在创投机构所属地域、资本类型、投资地域、投资行业和投资阶段上存在差异。
This paper builds and measures the VC network by choosing the VC events from 1994 to 2017. And then, it detects the network community, recognizes and compares the core communities. Results show that the VC network has small-world property and the VC corporations like joint investment. The most influential VC corporations are SCGC, IDG and Sequoia China. There exist differences in VC corporation location, capital types, investment regions, investment stages and investment industries between the core community represented by IDG and Sequoia China and the core community represented by SCGC.
This paper builds and measures the VC network by choosing the VC events from 1994 to 2017. And then, it detects the network community, recognizes and compares the core communities. Results show that the VC network has small-world property and the VC corporations like joint investment. The most influential VC corporations are SCGC, IDG and Sequoia China. There exist differences in VC corporation location, capital types, investment regions, investment stages and investment industries between the core community represented by IDG and Sequoia China and the core community represented by SCGC.
引文
[1] 周育红,宋光辉. 创业投资网络研究现状评介与未来展望[J]. 外国经济与管理, 2012(6): 17-24.
[2] Girvan M, Newman M E. Community Structure in Social and Biology Networks [J]. Proceedings of the National Academy of Sciences, 2002, 99(12): 7821-7826.
[3] Newman M E. Fast Algorithm for Detecting Community Structure in Networks [J]. Physical Review,2004,69(6):66-133.
[4] Clauset A. Finding Local Community Structure in Networks[J]. Physical Review E,2005,72(2):26132.
[5] 党兴华,薛超凯,施国平. 风险投资网络社群行为研究述评与展望[J]. 科技进步与对策, 2016(18): 156-160.
[6] 党兴华,胡玉杰,王育晓. 基于扎根理论的风险投资网络社群形成影响因素研究[J]. 科技进步与对策,2016(19): 14-20.
[7] 石琳,党兴华,杨倩,等. 风险投资网络社群集聚性与可达性对成功退出的影响[J]. 科技进步与对策,2017(17): 9-15.
[8] 金永红,章琦. 中国风险投资网络的网络特性与社团结构研究[J]. 系统工程学报, 2016(2): 166-177.
[9] 罗吉,党兴华. 我国风险投资网络社群识别、群间差异与投资绩效研究[J]. 管理评论,2017(9): 48-58.
[10] 罗吉,党兴华. 我国风险投资机构网络社群:结构识别、动态演变与偏好特征研究[J]. 管理评论,2016(5): 61-72.
[11] He X, Dong Y, Wu Y, et al. Structure Analysis and Core Community Detection of Embodied Resources Networks among Regional Industries[J]. Physica A Statistical Mechanics & Its Applications, 2017, 479:137-150.
[2] Girvan M, Newman M E. Community Structure in Social and Biology Networks [J]. Proceedings of the National Academy of Sciences, 2002, 99(12): 7821-7826.
[3] Newman M E. Fast Algorithm for Detecting Community Structure in Networks [J]. Physical Review,2004,69(6):66-133.
[4] Clauset A. Finding Local Community Structure in Networks[J]. Physical Review E,2005,72(2):26132.
[5] 党兴华,薛超凯,施国平. 风险投资网络社群行为研究述评与展望[J]. 科技进步与对策, 2016(18): 156-160.
[6] 党兴华,胡玉杰,王育晓. 基于扎根理论的风险投资网络社群形成影响因素研究[J]. 科技进步与对策,2016(19): 14-20.
[7] 石琳,党兴华,杨倩,等. 风险投资网络社群集聚性与可达性对成功退出的影响[J]. 科技进步与对策,2017(17): 9-15.
[8] 金永红,章琦. 中国风险投资网络的网络特性与社团结构研究[J]. 系统工程学报, 2016(2): 166-177.
[9] 罗吉,党兴华. 我国风险投资网络社群识别、群间差异与投资绩效研究[J]. 管理评论,2017(9): 48-58.
[10] 罗吉,党兴华. 我国风险投资机构网络社群:结构识别、动态演变与偏好特征研究[J]. 管理评论,2016(5): 61-72.
[11] He X, Dong Y, Wu Y, et al. Structure Analysis and Core Community Detection of Embodied Resources Networks among Regional Industries[J]. Physica A Statistical Mechanics & Its Applications, 2017, 479:137-150.