Article(id=1282034758779650108, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282034747870253265, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.10.1067, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1749830400000, receivedDateStr=2025-06-14, revisedDate=1755446400000, revisedDateStr=2025-08-18, acceptedDate=null, acceptedDateStr=null, onlineDate=1783590505546, onlineDateStr=2026-07-09, pubDate=1761580800000, pubDateStr=2025-10-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783590505546, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783590505546, creator=13701087609, updateTime=1783590505546, updator=13701087609, issue=Issue{id=1282034747870253265, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='10', pageStart='1', pageEnd='252', issueExtLink='null', onlineDate='null', pubDate='1761580800000', pubDateStr='2025-10-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783590502946, creator='13701087609', updateTime=1783593819616, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282048659068006772, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282034747870253265, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282048659068006773, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282034747870253265, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=52, endPage=59, ext={EN=ArticleExt(id=1282034759014531133, articleId=1282034758779650108, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Construction and network analysis of knowledge graph of vaccine supply chain based on big data from tender transactions, columnId=1149733271128420907, journalTitle=China Safety Science Journal, columnName=Safety social science and safety management, runingTitle=null, highlight=null, articleAbstract=

To decouple the structural complexity of industrial and supply chains, address systemic risks, and enhance supply chain resilience, bidding transaction big data was employed. Taking the vaccine sector as an example, a framework for constructing a supply chain knowledge graph was designed, and a systematic supply chain knowledge graph was established. On this basis, complex network techniques were applied to examine the vulnerability and potential security risks of China's vaccine industry supply chain network from 2011 to 2023. The research encompassed complex knowledge queries of the industrial chain, an analysis of city degree distribution patterns, and simulations and analyses of supply chain risks. The study shows that the vaccine industry chain exhibits spatial imbalance, particularly between eastern and western regions. The production structure is highly dependent, with approximately 61.3% of vaccine varieties relying on a single manufacturer or overseas agent. Manufacturers with high centrality constitute potential risk points within the vaccine supply chain network, where disruptions to about 33 enterprises significantly hinder vaccine supply. Compared with core cities, the cumulative effects of cities with lower network status, such as Chongqing, Dalian, Shenzhen, and Shenyang, have a more pronounced impact on the efficiency of vaccine circulation.

, authors=Yuqi HE, Wanying WEI, Mengsi CAI, Suoyi TAN, Huijun ZHENG, Xin LYU^**, authorsList=Yuqi HE, Wanying WEI, Mengsi CAI, Suoyi TAN, Huijun ZHENG, Xin LYU, authorCompany=null, correspAuthors=Xin LYU, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1282034759618510912, articleId=1282034758779650108, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=招标交易大数据下疫苗供应链知识图谱构建与网络分析, columnId=1149733271296193071, journalTitle=中国安全科学学报, columnName=安全社会科学与安全管理, runingTitle=null, highlight=null, articleAbstract=

为解耦产业链供应链结构复杂性，应对系统性风险和提升供应链韧性。依托招标交易大数据，以疫苗领域为例，设计供应链知识图谱构建思路，系统构建供应链知识图谱。在此基础上，运用复杂网络技术探究中国2011—2023年疫苗产业链供应链网络脆弱性和潜在安全风险。研究内容涵盖产业链复杂知识查询、城市度分布格局研究以及供应链风险模拟与分析。结果表明：疫苗产业链在空间分布上存在不均衡现象，具体体现在东部与西部地区之间的差异上；疫苗生产结构呈现高度依赖性，约61.3%的疫苗种类依赖单一生产商或境外代理商；高中心性生产厂商为疫苗供应链网络的潜在风险点，干扰约33家生产企业会严重阻碍疫苗的供给；与核心城市相比，网络中地位较低的城市如重庆、大连、深圳和沈阳的累计效应，对疫苗流通效率的影响更为显著。

, authors=何雨琪, 魏婉莹, 蔡梦思, 谭索怡, 郑慧君, 吕欣教授^**, authorsList=何雨琪, 魏婉莹, 蔡梦思, 谭索怡, 郑慧君, 吕欣教授, authorCompany=null, correspAuthors=吕欣教授, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=W4Z/eDKV+oVngeK0XTpqhQ==, magXml=pGZ/ARv7PaQV6JkB8Z9rGA==, pdfUrl=null, pdf=ZOoJKWMNMUhvvxaHleGsXQ==, pdfFileSize=7524400, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=EngvIZCMwA5JMobk90/1IQ==, mapNumber=null, fund=null)}, authors=[Author(id=1282034761350758469, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282034758779650108, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=gfkdheyuqi@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1282034761451421767, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282034758779650108, authorId=1282034761350758469, language=EN, stringName=Yuqi HE, firstName=Yuqi, middleName=null, lastName=HE, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Systems Engineering, National University of Defense Technology, Changsha Hunan 410073, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1282034761522724936, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282034758779650108, authorId=1282034761350758469, language=CN, stringName=何雨琪, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=国防科技大学 系统工程学院，湖南 长沙 410073, bio={"content":"

何雨琪（2001—），女，湖南长沙人，博士研究生，主要研究方向为数据挖掘、应急管理、自然语言处理。E-mail: gfkdheyuqi@163.com。

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何雨琪（2001—），女，湖南长沙人，博士研究生，主要研究方向为数据挖掘、应急管理、自然语言处理。E-mail: gfkdheyuqi@163.com。

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