期刊信息
- 刊名： 河北师范大学学报（自然科学版）Journal of Hebei Normal University (Natural Science)
- 主办： 河北师范大学
- ISSN： 1000-5854
- CN： 13-1061/N
- 中国科技核心期刊
- 中国期刊方阵入选期刊
- 中国高校优秀科技期刊
- 华北优秀期刊
- 河北省优秀科技期刊
利用TOPSIS算法对复杂网络的中心性重排的关键词演变探究
- 陕西科技大学 文理学院,陕西 西安 710021
-
DOI：10.13763/j.cnki.jhebnu.nse.202107002
Research on the Evolution of Keywords in the Centrality Rearrangement of Complex Networks Using TOPSIS
摘要/Abstract
通过检索和筛选中国知网数据库获得相关数据，经过数据处理后利用Ucinet软件构建关键词复杂网络，分析复杂网络的中心性.同时，利用TOPSIS算法的多属性决策对不同阶段的关键词中心性重排，绘制中心性较大的关键词演变图. 最后，以新冠疫情为研究对象，探究其不同时期的关键词研究热点及演变问题，分析研究热点的转变.
The relevant data is obtained by China national knowledge infrostucture CNKI database. By data processing, Ucinet software is used to construct a keyword complex network and analyze the centrality of the complex network. Furthermore, using the multi-attribute decision-making of the TOPSIS algorithm to rearrange the centrality of keywords at different stages, so as to draw a map of the evolution of keywords with greater centrality, which plays an important role in our exploration of the development and changes of the network. This article takes the new crown epidemic as an example, explores its keyword research hotspots and evolution issues in different periods, and finds the changes in its research hotspots.
关键词
参考文献 7
- [1] 安沈昊,于荣欢.复杂网络理论研究综述\[J\].计算机系统应用,2020,29(9):29 31.doi:10.5888/j.cnki.csa.007 17 AN Shenhao,YU Ronghuan.Summary of Complex Network Theory Research\[J\].Computer System Application,2020,29(9):29 31.
- [2] ALBERT-L SZL B,R KA A，HAWOONG J.Mean field Theory for Scale free Random Networks［J］.Physica A:Statistical Mechanics and Its Applications,1999,272:173 187.doi:10.1016/s0378 4371(99)00291 5
- [3] 任晓龙,吕琳媛.网络重要节点排序方法综述\[J\].科学通报,2014,59:1175 1197.doi:10.1360/972013 1280 REN Xiaolong,LYU Linyuan.Overview of the Sorting Methods of Important Network Nodes\[J\].Chinese Science Bulletin,2014，59:1175 1197.
- [4] 刘敏.复杂网络上重要节点寻找算法的研究——基于随机游走和边重要性衡量指标\[M\].济南:山东大学出版社,2018. LIU Min.Research on Algorithms for Finding Important Nodes on Complex Networks based on Random Walk and Edge Importance Measurement Index\[M\].Jinan:Shandong University Press,2018.
- [5] 武澎,王恒山.基于特征向量中心性的社交信息超网络中重要节点的评判\[J\].情报理论与实践,2014,37(5):107 113.doi:10.16353/j.cnki.1000 7490.2014.05.011 WU Peng,WANG Hengshan.Judgment of Important Nodes in Social Information Super networks Based on the Centrality of Feature Vectors\[J\].Information Theory and Practice,2014,37(5):107 113.
- [6] WATTS D J,STROGATZ S H.Collective Dynamics of "Small World" Networks\[J\].Nature,1998,6684(393):440 442.doi:10.1038/30918
- [7] DU Yuxian,CAI Gaoa.A New Method of Identifying Influential Nodes in Networks Based on TOPSIS\[J\].Physica A,2014,399:57 69.doi:10.1016/j.physa.2013.12.031