基于citespace和中介中心性算法的全国农业信息化知识图谱构建  

Construction of national agricultural informatization knowledge graph based on citespace and intermediary centrality algorithm

作　　者：陈雅茜[1] 邢雪枫 程大雷 薛余坤 吴非 张代玮 CHEN Ya-xi;XING Xue-feng;CHENG Da-lei;XUE Yu-kun;WU Fei;ZHANG Dai-wei(School of Computer Science and Engineering,Southwest Minzu University,Key Laboratory of Computer System of the State Ethnic Affairs Commission,Chengdu 610041,China)

机构地区：[1]西南民族大学计算机科学与工程学院,计算机系统国家民委重点实验室,四川成都610041

出　　处：《西南民族大学学报（自然科学版）》2022年第1期75-81,共7页Journal of Southwest Minzu University(Natural Science Edition)

基　　金：四川省科技计划(2019YFH0055);西南民族大学中央高校优秀学生培养工程项目(2021NYYXS47)。

摘　　要：以CNKI 2010~2020年期间发表的农业信息化领域论文作为数据来源,通过citespace可视化技术和改进的中介中心性算法相结合的方法完成全国农业信息化知识图谱的构建与分析.改进的中介中心性算法将共现网络中的前驱节点和后继节点的中心性依赖值关联起来,不断地更新中介中心性值,而且执行从一个点到所有其他点的最短路径搜索(单源最短路径搜索),时间复杂度从O(N^(3))优化为O(MN),空间复杂度从O(N^(2))优化为O(M+N),大大提高了运算效率.This paper uses the agricultural informatization papers published by CNKI from 2010 to 2020 as the data source,and completes the construction and analysis of the national agricultural informatization knowledge map through the combination of citespace visualization technology and improved intermediary centrality algorithm.The improved betweenness centrality algorithm associates the centrality dependency values of the predecessor and successor nodes in the co-occurrence network,constantly updates the betweenness centrality value,and performs the shortest path search from one point to all other points(single source shortest path search),the time complexity is optimized from O(N^(3))to O(MN),and the space complexity is optimized from O(N^(2))to O(M+N),which greatly improves the computational efficiency.

关 键 词：农业信息化 知识图谱 citespace可视化技术 中介中心性分析 

分 类 号：S126[农业科学—农业基础科学]