CAI Tingting,LIU Xiangwei.An empirical analysis of the hot spots in the field of dangerous goods transportation based on complex network[J].Journal of Yanbian University,2020,46(03):226-232.
基于复杂网络的危险品运输领域研究热点的实证分析
- Title:
- An empirical analysis of the hot spots in the field of dangerous goods transportation based on complex network
- 文章编号:
- 1004-4353(2020)03-0226-07
- Keywords:
- dangerous goods transportation; Bicomb software; complex network; Pajek software; research hotspot
- 分类号:
- X951
- 文献标志码:
- A
- 摘要:
- 为获取我国危险品运输领域的研究热点,对我国知网数据库中收录的606篇样本文献的关键词信息进行实证分析.首先,使用Bicomb软件统计关键词的数量并导出关键词共现矩阵数据.然后,基于复杂网络理论构建了一个包含50个节点、 267条边的无向加权网络模型.最后,使用Pajek软件和中心性分析法分别对热点网络的拓扑结构和研究热点进行分析显示,热点网络结构符合无标度网络和小世界网络特征,前3位的研究热点分别是公路运输、道路运输和层次分析法.
- Abstract:
- In order to obtain the research hotspot in the field of dangerous goods transportation in China, the keyword information of 606 sample documents collected in CNKI full -text database of Chinese journals is analyzed empirically. First of all, Bicomb software is used to count the number of keywords and derive the co -occurrence matrix data of keywords. Then, an undirected weighted network model with 50 nodes and 267 edges is constructed based on the complex network theory. Finally, Pajek software and central analysis method are used to analyze the topology and research hotspot of hot spot network. The results show that the hot spot network structure conforms to the scale -free network and small world network characteristics. The top three research hotspots are highway transportation, road transportation and hierarchical analysis.
参考文献/References:
[1] 王博玉.我国危险化学品安全管理现状[J].化工设计通讯,2020,46(8):180.
[2] 张萌,王能民.重大事故规避的危险品运输车辆路径优化研究[J].运筹与管理,2018,27(8):1-9.
[3] 李清,尹宇起,胡志华.基于多目标遗传算法的危险品运输路径优化[J].合肥工业大学学报(自然科学版),2016,39(9):1278-1282.
[4] 种鹏云,帅斌,尹惠,等.基于连通可靠性的危险品运输路径选择问题[J].中国安全科学学报,2014,24(5):92-97.
[5] 宋洋,徐桢,王燕青.基于蚂蚁算法的危险品运输路径优化研究[J].安全与环境工程,2014,21(1):148-152.
[6] 薛翔,朱小林.基于优先权重粒子群算法的危险品运输路径优化建模[J].大连海事大学学报,2016,42(4):112-118.
[7] XIN C L, LETU Q G, WANG J M, et al. Robust optimization for the hazardous materials transportation network design problem[J]. Journal of Combinatorial Optimization, 2015,30(2):320-334.
[8] 项寅,姜冠群.路径-脆弱点最短距离最大化的危险品运输网络设计[J].中国安全生产科学技术,2019,15(2):57-63.
[9] LEUNG Y, LI R R, JI N N. Application of extended Dempster-Shafer theory of evidence in accident probability estimation for dangerous goods transportation[J]. Journal of Geographical Systems, 2017,19(3):249-271.
[10] KE G Y, ZHANG H W, BOOKBINDER J H. A dual toll policy for maintaining risk equity in hazardous materials transportation with fuzzy incident rate[J]. International Journal of Production Economics, 2020,227:107650.
[11] 姚红光.物流网络的延误扩散与鲁棒性分析[M].北京:国防工业出版社,2015:1-68.
[12] 王欢.基于复杂网络理论的宝鸡公交网络构建与分析[J].电气自动化,2015,37(4):24-26.
[13] 闫玲玲,陈增强,张青.基于度和聚类系数的中国航空网络重要性节点分析[J].智能系统学报,2016,11(5):586-593.
[14] 马夏夏,蔡永明,刘贵香.基于LDA的股市复杂网络研究热点分析[J].情报探索,2016(11):15-19.
[15] 王绍卜.基于复杂网络的港口物流领域研究热点实证分析[J].计算机系统应用,2014,23(7):246-251.
[16] 李茂.北京产业关联网络的拓扑特征研究[J].北京社会科学,2016(5):57-67.
备注/Memo
收稿日期: 2020-03-21 作者简介: 蔡婷婷(1995—),女,硕士研究生,研究方向为物流系统规划设计.
基金项目: 国家自然科学基金资助项目(61402011); 安徽省哲学社会科学规划项目(AHSKQ2014D50)