[1] 全国应急管理科技和信息化工作会议在京召开[EB/OL].[2021-08-15].https://baijiahao.baidu.com/s?id=1701078327559054934&wfr=spider&for=pc.
[2] MODGIL S,SINGH R K,FOROPON C.Quality management in humanitarian operations and disaster relief management: a review and future research directions[J].Annals of operations research,2020:1-54.
[3] 戴建忠,徐正,王燕.应急物资管理研究综述[J].企业改革与管理,2020(24):10-11.
[4] 江志斌,文静,耿娜,等.面向重大传染性疾病的应急资源管理研究综述[J].工业工程,2020,23(6):1-9.
[5] 贾若男,王晰巍.基于扎根理论的社交媒体用户转移行为特征研究[J].图书馆学研究,2018(17):26-33.
[6] QIAN K,YAHARA T.Mentality and behavior in COVID-19 emergency status in Japan:influence of personality,morality and ideology[J].PloS one,2020,15(7):e0235883.
[7] CHEN S,MAO J,LI G,et al.Uncovering sentiment and retweet patterns of disaster-related tweets from a spatiotemporal perspective: a case study of Hurricane Harvey[J].Telematics and informatics,2020,47:101326.
[8] WIRZ C D,XENOS M A,BROSSARD D,et al.Rethinking social amplification of risk:social media and Zika in three languages[J].Risk analysis: an official publication of the Society for Risk Analysis,2018,38(12): 2599-2624.
[9] FRIGERIO S,SCHENATO L,BOSSI G,et al.Hands-on experience of crowdsourcing for flood risks. an android mobile application tested in Frederikssund, Denmark[J].International journal of environmental research and public health,2018,15(9):1926.
[10] ZHANG W, WANG M, ZHU Y. Does government information release really matter in regulating contagion-evolution of negative emotion during public emergencies? from the perspective of cognitive big data analytics[J].International journal of information management,2020,50: 498-514.
[11] POHL D,BOUCHACHIA A,HELLWAGNER H.Batch-based active learning: application to social media data for crisis management[J].Expert systems with applications, 2018,93:232-244.
[12] GESSER E A, COHEN R, HIJAZI R,et al.Analysis of public perception of the Israeli government's early emergency instructions regarding COVID-19:online survey study[J].Journal of medical internet research,2020,22(5):e19370.
[13] YAO Z, TANG P, FAN J,et al.Influence of online social support on the public's belief in overcoming COVID-19[J].Information processing & management,2021,58(4):102583.
[14] MA N, LIU Y,LI L.Link prediction in supernetwork: risk perception of emergencies[J].Journal of information science,2022,48(3):374-392.
[15] SCOTT K K,NICOLE A E.Content, accessibility, and dissemination of disaster information via social media during the 2016 Louisiana floods[J].Journal of public health management and practice,2018,24(4):370-379.
[16] LIAN Y, LIU Y, DONG X.Strategies for controlling false online information during natural disasters:the case of Typhoon Mangkhut in China[J].Technology in society,2020,62:101265.
[17] KAUFHOLD M A, BAYER M, REUTER C.Rapid relevance classification of social media posts in disasters and emergencies: a system and evaluation featuring active, incremental and online learning[J].Information processing & management,2020,57(1):102132.
[18] VILLODRE J,CRIADO J I.User roles for emergency management in social media: understanding actors' behavior during the 2018 Majorca Island flash floods[J].Government information quarterly,2020,37(4):101521.
[19] JAMALI M,NEJAT A,GHOSH S,et al.Social media data and post-disaster recovery[J].International journal of information management,2019, 44: 25-37.
[20] WANG Y,LEE K,LEE I.Visual analytical tools for multivariate higher-order information for emergency management[J].Journal of visualization,2020,23(4):721-743.
[21] YU Y,YU G,YAN X,et al.Quantifying and analysing the stages of online information dissemination in different enterprise emergencies:the idea of system cybernetics[J].Journal of information science, 2020,48(2):1-15.
[22] CHEN H, HE J, SONG W,et al.Modeling and interpreting the COVID-19 intervention strategy of China: a human mobility view[J].PloS one, 2020,15(11):e0242761.
[23] RUIU M L.Mismanagement of Covid-19: lessons learned from Italy[J]. Journal of risk research,2020,23(7/8):1007-1020.
[24] LU X, HAN Z.Emergency management in China: towards a comprehensive model?[J].Journal of risk research,2019,22(11):1425-1442.
[25] THOMAS C, MCCREADIE R, OUNIS I.Event tracker: a text analytics platform for use during disasters[C]// The 42nd international ACM SIGIR conference. New York: ACM, 2019:1341-1344.
[26] FAN B, LIU R, HUANG K,et al.Embeddedness in cross-agency collaboration and emergency management capability: evidence from Shanghai's urban contingency plans[J].Government information quarterly,2019,36(4):101395.
[27] HAN L,LI W,SU Z.An assertive reasoning method for emergency response management based on knowledge elements C4.5 decision tree[J].Expert systems with applications,2019,122: 65-74.
[28] OLIVEIRA J F,PESCARINI J M, RODRIGUES M S,et al.The global scientific research response to the public health emergency of Zika virus infection[J].PloS one,2020,15(3):e0229790.
[29] ANNA C,BARBARA K B,SCOTT C W,et al.The development and implementation of cognitive AIDS for critical events in Pediatric Anesthesia: the Society for Pediatric Anesthesia critical events checklists[J].Anesthesia & analgesia,2017,124(3) :900-907(8).
[30] RAUH C.Supranational emergency politics? what executives' public crisis communication may tell us[J].Journal of European public policy,2021,29(6):966-978.
[31] BURKLEURKLE JR, FREDERICK M. Challenges of global public health emergencies: development of a health-crisis management framework[J].The Tohoku journal of experimental medicine, 2019,249(1):33-41.
[32] 吴诗苑,董庆兴,宋志君,等. 社交媒体中错误信息的检测方法研究述评[J]. 情报学报,2022,41(6):651-661.
[33] GALAITSI S E,CEGAN J C,Volk K,et al.The challenges of data usage for the United States'COVID-19 response[J].International journal of information management,2021,59:102352.
[34] LU Y. The use of artificial intelligence in the construction of operation safety early warning management system of urban rail transit[J].Journal of physics: conference series,2021,1972(1):012093.
[35] FATHI R,THOM D,KOCH S,et al.VOST:a case study in voluntary digital participation for collaborative emergency management[J].Information processing and management,2020,57(4):102174.
[36] 茆意宏.全民防控疫情期间在线阅读服务观察与思考[J].图书情报工作,2020,64(15):131-137.
[37] 龚艺巍,王小敏,曾子明.融合众包的突发事件应急管理模式及情报体系研究[J].现代情报,2019,39(1):5-12,19.
[38] 徐永顺,周宇,刘渊,等.重大突发公共卫生事件中的居民情感需求挖掘[J].图书馆论坛,2021,41(9):76-86.
[39] 樊舒,孙鹏.基于实时视频的应急决策情报体系构建[J].情报杂志,2019,38(6):17-22.
[40] 袁莉,姚乐野.基于EA的快速响应情报体系顶层设计研究[J].图书情报工作,2016,60(23):16-22.
[41] 张鼎华,李卫俊,申世飞.基于混合仿真的群体性事件演化机理建模分析研究[J].情报杂志,2019,38(7):131-137,130.
[42] 凌晨,冯俊文,吴鹏,等.基于SOAR模型的高校网络舆情应急响应研究[J].情报科学,2019,37(9):145-152.
[43] 王平,孙明伟,安琪.个人在突发公共卫生事件中的信息行为——以2020新冠肺炎疫情为例的质性观察、探讨与启示[J].图书馆,2020(7):92-100.
[44] 王静茹,宋绍成,徐慧.基于深度学习框架下的多模态情报智能挖掘研究[J]. 情报科学,2019,37(12):159-165.
[45] 陆莉,沙勇忠,徐雪峰.基于生命周期的公共安全数据管理模型研究[J].图书与情报,2019(4):13-21.
[46] 孙立媛,苏新宁.面向高校应急决策的领域主题词表构建研究[J].情报科学,2019,37(4):137-143.
[47] 赵又霖,庞烁,吴宗大.社会感知数据驱动下突发事件应急管理的时空语义模型构建研究[J].情报科学,2021,39(2):44-53.
[48] 周志超,盖双双.国内知识元研究的缘起与发展脉络[J].情报科学,2019,37(10):158-163.
[49] 杨峰,姚乐野.危险化学品事故情报资源的情景要素提取研究[J].情报学报,2019,38(6):586-594.
[50] 杨峰,张月琴,姚乐野.基于情景相似度的突发事件情报感知实现方法[J]. 情报学报,2019,38(5):525-533.
[51] 胡峰,左茜.自由基聚合理论视阈下重大疫情防控应急情报体系优化策略[J].情报科学,2020,38(11):10-15,79.
[52] 徐绪堪,钟宇翀,魏建香,等.基于组织-流程-信息的突发事件情报分析框架构建[J].情报理论与实践,2015,38(4):70-73.
[53] 郭骅,屈芳,苏新宁. 风险社会背景下的应急管理情报体系研究[J].情报学报,2017,36(10):998-1007.
[54] 姚乐野,孟群.重特大自然灾害舆情演化机理:构成要素、运行逻辑与动力因素[J].情报资料工作,2020,41(5):49-57.
[55] 谭晓,吴晨生.基于工作流的快速情报生产线系统研究[J].情报理论与实践,2019,42(11):41-45,68.
[56] 张海涛,刘雅姝,周红磊,等.情报智慧赋能:重大突发事件的智能协同决策[J].情报科学,2020,38(9):3-8.
[57] 刘春年,陈梦秋.突发重大事件防控中应急联动协同的情报体系建构——基于推特文本的内容分析[J].情报理论与实践,2020,43(10):31-38.
[58] 胡智鹏,李瑶,宋绍成,等.突发公共卫生事件大数据分析与防控策略研究[J].情报科学,2020,38(11):104-109.
[59] 赵发珍,王超,曲宗希.大数据驱动的城市公共安全治理模式研究——一个整合性分析框架[J]. 情报杂志,2020,39(6):179-186,151.
[60] 秦中云,杜建萍,马栋萍.云计算环境下多校区图书馆智慧服务平台研究——以北京联合大学图书馆为例[J].图书馆建设,2019(S1):74-78.
[61] 蒋勋,杨春生,肖连杰,等.支持跨组织智库协同应急的疫情情报流研究[J].情报科学,2020,38(8):62-67,94.
[62] 汇聚中外部长智慧 为建设智慧社会提供新思考、新探索[EB/OL].[2022-03-18].https://baijiahao.baidu.com/s?id=1647690408031847431&wfr=spider&for=pc.
[63] 王丽丽,安小米.在线政务服务数据的协同治理——对 8 个发达国家的比较研究[J].图书情报知识, 2021, 38(3): 130-143.
[64] 李阳,孙建军. 面向智慧应急的情报资源保障能力建构[J].情报学报,2019,38(12):1310-1319.
[65] 巴志超,刘学太,马亚雪,等. 国家安全大数据综合信息集成的战略思考与路径选择[J].情报学报,2021,40(11):1139-1149.
[66] 娄雪,耿子健,刘成立.区块链视角下区域经济信息共享研究[J].情报科学, 2021, 39(6): 103-107.
[67] 杨文霞,刘文云,孙志腾,等.基于区块链与ROMA的政府数据共享模型构建研究[J].情报理论与实践,2021,44(5):115-121.
[68] 委员的答卷丨陈晓红:为数字经济下智慧社会治理、科技创新高质量发展建言献策[EB/OL].[2021-10-26].https://baijiahao.baidu.com/s?id=1726289374641560142&wfr=spider&for=pc.
[69] 重磅丨浙江省数字基础设施发展"十四五"规划[EB/OL]. [2021-10-26].https://www.163.com/dy/article/GD7KT3KN 05351A4R.html.