摘要
本文对我国硕博士论文研究华为、阿里和腾讯3家大型企业的热点以及热点之间关系和热点的演化进行了探讨.首先观察论文的数量变化与学科分布,然后构建关键词知识图谱对关键词之间的内部结构特征和演化方式进行可视化展示,结果发现硕博士基本从企业的发展特色展开研究,同时从关键词知识图谱网络的演化角度来看,网络结构越来越复杂,网络中心逐渐转移或多样化,并从知识图谱网络的异配系数与结构熵分析来看,硕博士论文的研究是以热点与新问题相结合的研究方式进行.硕博士论文的研究越来越广,也越来越富有创新性.
This article discusses the hotspots in the researches of our country's master and doctoral dissertations on Huawei, Ali and Tencent. After observing the number changes of papers and the distribution of disciplines, it construct a keyword knowledge graph to visually display the internal structure characteristics and evolution among keywords. The results show that the masters and doctors basically research from the development characteristics of the company, and from the perspective of the evolution of the keywords knowledge graph network, the network structure is becoming growingly complex, and the center of the network gradually shifts or diversifies. From the analysis of the heterogeneous coefficient and structural entropy of the knowledge graph network, the researches of the master and doctoral dissertations are carried out in a method that combines hot spots and new problems. The research scope of master and doctoral dissertations is getting wider and wider, meanwhile these researches become more and more innovative.
作者
郑月
潘潇
任卓明
ZHENG Yue;PAN Xiao;REN Zhuoming(Alibaba Business School,Hangzhou Normal University,Hangzhou 311121,China)
出处
《杭州师范大学学报（自然科学版）》
CAS
2021年第5期487-494,共8页
Journal of Hangzhou Normal University(Natural Science Edition)
基金
国家自然科学基金项目(61803137)
浙江省自然科学基金项目(LY21F030019).
作者简介
通信作者:任卓明(1985-),男,副教授,博士,主要从事网络科学、数据科学的研究.E-mail:zhuoming.ren@hznu.edu.cn。
