社交媒体个人数据资源的多边市场竞争研究——基于k核凝聚子网的实证解析  

Research on Multi-sided Market Competition of Social Media Personal Data Resource——An Empirical Analysis Based on k-core Network

作　　者：黄磊 赵延东[1,3] 梅亮 HUANG lei;ZHAO Yan-dong;MEI Liang(Institute of Science, Technology & Society y Chinese Academy of Science and Technology for Development, Beijing 100038;College of Economic and, Social Development, Nankai University, Tianjin 300071;School of Sociology and Population, Renmin University of China, Beijing 100872;National Development Research Institute, Peking University, Beijing 100871)

机构地区：[1]中国科学技术发展战略研究院科技与社会发展研究所,北京100038 [2]南开大学经济与社会发展研究院,天津300071 [3]中国人民大学社会与人口学院,北京100038 [4]北京大学国家发展研究院,北京100871

出　　处：《软科学》2019年第6期1-7,共7页Soft Science

基　　金：国家自然科学基金项目(L1824004)

摘　　要：基于2016~2017年期间连续的用户活跃度相关指标和社交媒体平台API开放状态,构建社交媒体平台链态矩阵,并采取社会网络分析(SNA)方法中的k核分析方法,通过网络模块度、网络聚集系数和网络密度的测定,对选取的31个具有代表性的中国社交媒体平台个人数据链接网络(PDCN)的汇聚结构进行分析。实证结果显示,样本网络存在网络聚集系数和网络密度较高的k核子网络,处于k核子网络中的平台构成了一个完整的数据资源配置网络。研究认为目前中国社交媒体平台个人数据链接网络汇聚较为显著,社交媒体产业结构性资源的个人数据资源的汇聚直接影响市场竞争状态,处于个人数据链接网络结构中心位置的平台对基于数据资源的多边市场竞争结构具有较强的控制力。Base on the continuous user activity related indicators and social media platform API openness from 2016 to 2017, this research adopts the social network analysis method to study the convergence status of Personal Data Connectedness Network(PDCN) of the selected China’s social media platforms(N=31). The analysis index includes k-core decomposition, modularity test, clustering coefficient, and density test. According to the empirical study, this research has found that the platforms in k-core network of the sample network have sufficiency impact of the allocation of the personal data resource. The result shows that there is a centralized structure of the market competition of China’s social media platform. The platforms that occupy the centralized position of the PDCN have greater impact of controlling the data resource allocation.

关 键 词：社交媒体 个人数据 多边市场 市场竞争 k核 

分 类 号：F49[经济管理—产业经济]