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作 者:成飞 丁晓丽 Cheng Fei;Ding Xiaoli(Intellectual Property Information Service Center,Jingdezhen Ceramic University,Jingdezhen Jiangxi 333403;Jingdezhen University Library,Jingdezhen Jiangxi 333000)
机构地区:[1]景德镇陶瓷大学知识产权信息服务中心,江西景德镇333403 [2]景德镇学院图书馆,江西景德镇333000
出 处:《情报探索》2025年第2期68-75,共8页Information Research
基 金:景德镇市软科学指导计划项目“景德镇市科技工作信息管理系统研究”(项目编号:20211RKX009)和“景德镇先进陶瓷人才引进与培育路径研究”(项目编号:20231RKX012)成果之一。
摘 要:[目的/意义]高校间协同创新不仅是实现区域高等教育协同发展的必要途径,也是推动区域高质量发展的关键支撑。[方法/过程]基于长江经济带高校间合作申请的发明专利数据,运用复杂网络理论和核密度分析法,分析了协同创新网络的结构特征,并通过加权指数随机图模型探讨了影响网络关系形成的因素。[结果/结论]长江经济带高校间的协同创新网络已初具规模,呈现出“多中心、层次化”的分布格局,且具有“由东向西”梯度递减的特点。理工类高校、研发团队规模和地理邻近性是促进网络关系形成的主要因素,其中地理邻近性影响最为显著。高校的创新能力和地理距离对网络关系的形成产生了一定的阻碍作用,但较为微弱。[Purpose/significance]Collaborative innovation among universities is not only a necessary approach to achieving coordinated regional higher education development but also a critical support for promoting high-quality regional development.[Method/process]Based on the data of invention patents applied by cooperation among universities in the Yangtze River Economic Belt,this paper analyzes the structural characteristics of the collaborative innovation network by using complex network theory and kernel density analysis,and explores the factors affecting the formation of the network relationship by using the weighted exponential random graph model.[Result/conclusion]The collaborative innovation network among universities in the Yangtze River Economic Belt begins to take shape,showing a distribution pattern of“multi-center and hierarchical”,with a gradient decreasing from east to west.The main factors contributing to the formation of the network are universities of science and technology,the scale of R&D teams and geographic proximity,among which geographic proximity has the most significant influence.The innovation capacity of university and geographical distance have a certain impediment to the formation of network relationships,but it is relatively weak.
关 键 词:长江经济带 协同创新 复杂网络 加权指数随机图模型 核密度分析
分 类 号:G647[文化科学—高等教育学]
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