基于复杂网络的粤港澳大湾区学术合作及影响因素分析

Analysis of academic cooperation and influencing factors of Guangdong-Hong Kong-Macao Greater Bay Area based on complex networks

以粤港澳大湾区城市为基础节点,在Web of Science(WOS)中采集数据,以信息科技、生命科学、生物科学、物理科学为研究主题,基于多区域视角构建3种区域学术合作复杂网络,基于分析结果为推动粤港澳大湾区的学术合作提供发展对策建议。通过度分布.PageRank,网络的平均路径距离、接近中心度等指标,分析粤港澳大湾区学术合作的情况,并基于区域创新理论框架,识别大湾区学术合作的影响因素包括文化、科研、经济和人口等。研究发现粤港澳大湾区城市学术合作网络呈现明显的中心-半中心-非中心结构,并具有小世界特性。广州、香港和深圳是大湾区学术合作的核心,广州在国内合作方面领先于深圳,深圳在国际合作方面略优于广州,同时发现地理距离已不是阻碍学术合作的因素。

Taking the cities of Guangdong-Hong Kong-Macao Greater Bay Area as the basic nodes,collecting data in Web of Science(WOS),taking information technology,life sciences,biological sciences,and physical sciences as research topics,constructing three types based on a multi-regional perspective,The complex network of regional academic cooperation provides development countermeasures and suggestions for promoting academic cooperation in the Guangdong-Hong Kong-Macao Greater Bay Area based on the analysis results.Analyze the situation of academic cooperation in the Guangdong-Hong Kong-Macao Greater Bay Area through indicators such as degree distribution,PageRank,average path distance of the network,proximity to centrality,and identify the influencing factors of academic cooperation in the Greater Bay Area based on the regional innovation theoretical framework Including culture,scientific research,economy and population.The study found that the urban academic cooperation network of the Guangdong-Hong Kong-Macao Greater Bay Area presents an obvious center-semi-center-non-central structure,and has a small-world characteristic.Guangzhou,Hong Kong and Shenzhen are the core of academic cooperation in the Greater Bay Area.Guangzhou is ahead of Shenzhen in domestic cooperation,and Shenzhen is slightly better than Guangzhou in international cooperation.At the same time,it is found that geographical distance is no longer a factor that hinders academic cooperation.