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Predicting potential knowledge convergence of solar energy: bibliometric analysis based on link prediction model
Scientometrics ( IF 3.5 ) Pub Date : 2021-03-08 , DOI: 10.1007/s11192-021-03901-6
Yueran Duan , Qing Guan

The innovation and development of emerging technology mostly depend on the way of knowledge convergence defined as the blurring of previously distinct domain-specific knowledge. This paper aims to explore the potential motivation of knowledge convergence and find the law of knowledge convergence, taking the solar energy field as an example. We established Keywords co-occurrence networks of solar energy literature in 2008–2017, and then link prediction is introduced to study the structural mechanism of knowledge convergence. We found that: (1) the common neighbor index better characterizes the knowledge convergence pattern in the knowledge networks among four similarity indicators. (2) The keywords co-occurrence network could effectively mine the structural characteristics of knowledge convergence; (3) the convergence cycle of knowledge in the field of solar energy was about 4 years; (4) keywords with higher betweenness centrality or eigenvector centrality easily generated knowledge convergence; (5) a literature knowledge convergence prediction model is proposed based on these results; and (6) the prediction results showed that scholars should pay attention to six basic issues including energy storage, efficiency, cost, ecological effect, application scenarios, and hybrid photovoltaic systems. This work can provide guidance not only for scholars to grasp the research direction and to generate more innovations but for the government to formulate the policies of government funding.



中文翻译:

预测太阳能的潜在知识收敛:基于链接预测模型的文献计量分析

新兴技术的创新和发展主要取决于知识融合的方式,知识融合的方式被定义为先前不同领域专有知识的模糊化。本文旨在以太阳能领域为例,探讨知识融合的潜在动因,找到知识融合的规律。我们在2008-2017年建立了太阳能文献关键词共现网络,然后引​​入链接预测来研究知识融合的结构机制。我们发现:(1)共同邻居指数更好地刻画了四个相似性指标之间知识网络中的知识收敛模式。(2)关键词共现网络可以有效挖掘知识融合的结构特征;(3)太阳能领域知识的收敛周期约为4年;(4)中间度中心性或特征向量中心性较高的关键词容易产生知识融合;(5)基于这些结果提出了文献知识融合预测模型。(6)预测结果表明,学者应注意储能,效率,成本,生态效应,应用场景和混合光伏系统六个基本问题。这项工作不仅可以为学者们掌握研究方向和进行更多的创新提供指导,还可以为政府制定政府的资助政策提供指导。(5)基于这些结果提出了文献知识融合预测模型。(6)预测结果表明,学者应注意储能,效率,成本,生态效应,应用场景和混合光伏系统六个基本问题。这项工作不仅可以为学者们掌握研究方向和进行更多的创新提供指导,还可以为政府制定政府的资助政策提供指导。(5)基于这些结果提出了文献知识融合预测模型。(6)预测结果表明,学者应注意储能,效率,成本,生态效应,应用场景和混合光伏系统六个基本问题。这项工作不仅可以为学者们掌握研究方向和进行更多的创新提供指导,还可以为政府制定政府的资助政策提供指导。

更新日期:2021-03-08
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