[1] HARRISON S, JOHNSON P.Challenges in the adoption of crisis crowdsourcing and social media in Canadian emergency management[J]. Government information quarterly, 2019, 3(36): 333-357. [2] 人民网舆情数据中心. 2018年度人民日报: 政务指数微博影响力报告[Z]. 2019. People's Network public opinion data center. 2018 People's Daily: Government affairs index Weibo influence report[Z]. 2019. [3] 刘依卿. 微博:政府危机公关新手段[J]. 宁波大学学报(人文科学版), 2012(3): 132-135. LIU Y Q.Weibo: A new approach to government crisis public relations[J]. Journal of Ningbo university (humanities edition), 2012(3): 132-135. [4] GENES N, CHARY M, CHASON K.Analysis of Twitter users' sharing of official New York storm response messages[J]. Med 20, 2014, 3(1): E1. [5] 牛春华, 江志欣. 重大公共安全事件防控的风险沟通: 整合框架与可能路径[J]. 兰州大学学报 (社会科学版), 2020, 48(2):25-37. NIU C H, JIANG Z X.Integration framework and possible path:risk communication in the prevention and control of major public security events[J]. Journal of Lanzhou university(social sciences edition), 2020, 48(2):25-37. [6] SUN X, YANG W, SUN T, et al.Negative emotion under haze: an investigation based on the microblog and weather records of Tianjin, China[J]. Int J environ res public health, 2018, 16(1): 40-42. [7] MARTíNEZ-ROJAS M, PARDO-FERREIRA M D C, RUBIO-ROMERO J C. Twitter as a tool for the management and analysis of emergency situations: A systematic literature review[J]. International journal of information management, 2018, 43(6): 196-208. [8] 张秀娟. 基于政务微博平台的自然灾害信息发布模式与公众关注度分析[D]. 北京:中国科学技术大学, 2017. ZHANG X J.Analysis of natural disaster information release mode and public attention based on government affairs micro-blog platform[D]. Beijing: University of science and technology of China, 2017. [9] RICHARD M W, JENSEN D W.Squawking, tweeting, cooing, and hooting: Analyzing the communication patterns of government agencies on Twitter[J]. Journal of public affairs, 2011, 11(4): 353-363. [10] KAVANAUGH A L, FOX E A, SHEETZ S D, et al.Social media use by government: From the routine to the critical[J]. Government information quarterly, 2012, 29(4): 480-491. [11] 李琳. 政务微博对突发性事件的舆情应对[J]. 新闻世界, 2016(11): 50-53. LI L.The public opinion response of government affairs micro-blog to emergencies[J]. The news world, 2016(11): 50-53. [12] 李萍. 危机事件管理中政务微博作用机制及改进对策[D]. 大连: 东北财经大学, 2016. LI P.The function mechanism and improvement countermeasures of government affairs microblog in crisis event management[D]. Dalian: Dongbei university of finance and economics, 2016. [13] WANG F, WANG H, XU K, et al.Regional level influenza study with geo-tagged twitter data[J]. J med syst, 2016, 40(8): 189. [14] 姚宝权. 突发自然灾害政务微博发布的实证研究——以北京7·21暴雨为例[J]. 怀化学院学报, 2012, 31(9): 48-51. YAO B Q.An empirical study on the publishing of government Weibo of sudden natural disasters, taking the 7.21 rainstorm in Beijing as an example[J]. Journal of Huaihua university, 2012, 31(9): 48-51. [15] PIERCE C E, BOURI K, PAMER C, et al.Evaluation of Facebook and twitter monitoring to detect safety signals for medical products: An analysis of recent FDA safety alerts[J]. Drug SAF, 2017, 40(4): 317-331. [16] SMITH K, GOLDER S, SARKER A, et al.Methods to compare adverse events in Twitter to FAERS, drug information databases, and systematic reviews: Proof of concept with adalimumab[J]. Drug SAF, 2018, 41(12): 1397-1410. [17] MARTINEZ-ROJAS M, DEL CARMEN PARDO-FERREIRA M, CARLOS RUBIO-ROMERO J. Twitter as a tool for the management and analysis of emergency situations: A systematic literature review[J]. International journal of information management, 2018, 43: 196-208. [18] XIN-GANG Z, ZHEN W.The technical efficiency of China's wind power list enterprises: An estimation based on DEA method and micro-data[J]. Renewable energy, 2019, 133(4): 470-479. [19] 张征超, 储慧琳, 刘宇. 上市流通企业融资效率研究——基于A股上市公司数据[J]. 商业经济研究, 2019(12): 165-167. ZHANG Z C, CHU H L, LIU Y.Research on financing efficiency of listed and circulating enterprises, based on the data of a share listed companies[J]. Business economics research, 2019(12): 165-167. [20] DAVIDOVIC M, UZELAC O, ZELENOVIC V.Efficiency dynamics of the Croatian banking industry: DEA investigation[J]. Economic research-ekonomska istrazivanja, 2019,54(6): 125-128. [21] 孙晓明, 张爱臣, 田立忠. 基于DEA测度的图书馆效率实证研究[J]. 电脑知识与技术, 2019, 15(18): 280-283. SUN X M, ZHANG A C, TIAN L Z.An empirical study of library efficiency based on DEA[J]. Computer knowledge and technology, 2019, 15(18): 280-283. [22] 杨国梁, 刘文斌, 郑海军. 数据包络分析方法(DEA)综述[J]. 系统工程学报, 2013, 28(6): 840-860. YANG G L, LIU W B, ZHENG H J.A survey of data envelope analysis(DEA)[J]. Journal of systems engineering, 2013, 28(6): 840-860. [23] WANG L, XI F M, LI J X, et al.Efficiency of industrial energy conservation and carbon emission reduction in Liaoning province based on data envelopment analysis(DEA) method[J]. Chinese journal of applied ecology, 2016, 27(9): 2925-2932. [24] COOPER W W, SEIFORD L M, ZHU J.Data Envelopment analysis: History, models, and interpretations[J]. Handbook on data envelop-ment analysis, 2011, 164: 1-39. [25] 赵阿敏, 曹桂全. 政务微博影响力评价与比较实证研究——基于因子分析和聚类分析[J]. 情报杂志, 2014, 33(3): 107-112. ZHAO A M, CAO G Q.Evaluating and comparative empirical research on the influence of government microblogs, based on factor analysis and cluster analysis[J]. Intelligence magazine, 2014, 33(3): 107-112. [26] CHA M, HADDADI H, BENEVENUTO F, et al.Measuring user influence in Twitter: The million follower fallacy[J]. ICWSM, 2010: 10-17. [27] 潘芳, 钱春辉, 仲伟俊. 基于新浪微博的政务服务研究[J]. 情报杂志, 2014(7): 183-187, 170. PAN F, QIAN C H, ZHONG W J.Research on government service based on Sina Weibo[J]. Intelligence magazine, 2014(7): 183-187, 170. [28] 梁昌明, 李冬强. 基于新浪热门平台的微博热度评价指标体系实证研究[J]. 情报学报, 2015, 34(12): 1278-1283. LIANG C M, LI D Q.An empirical study on the evaluation index system of Weibo popularity based on Sina popular platform[J]. Chinese journal of information, 2015, 34(12): 1278-1283. [29] 李雪松. 基于微博粉丝特性提升高校图书馆移动服务[J]. 农业图书情报学刊, 2017, 29(10): 184-188. LI X S.Based on the characteristics of Weibo fans to improve the mobile service of university libraries[J]. Agricultural library and information journal, 2017, 29(10): 184-188. [30] 刘志明, 刘鲁, 苗蕊. 突发事件新闻报道与微博信息的爆发性模式比较[J]. 情报学报, 2013, 32(3): 288-298. LIU Z M, LIU L, MIAO R.A comparison of the burst patterns between news reports of emergencies and Weibo information[J]. Chinese journal of information, 2013, 32(3): 288-298. [31] 孟健, 刘阳. 基于DEA方法的省级公共图书馆微博运营效率研究[J]. 图书馆学研究, 2016(6): 51-57. MENG J, LIU Y.Research on Weibo operation efficiency of provincial public libraries based on DEA method[J]. Library science research, 2016(6): 51-57. [32] 张敏, 吴郁松, 霍朝光. 我国省级政务微博运营绩效测评与改进路径选择[J]. 图书馆学研究, 2015(17): 22-28. ZHANG M, WU Y S, HUO C G.Operational performance evaluation and improvement path selection of provincial government microblogs in China[J]. Library science research, 2015(17): 22-28. [33] 张敏, 霍朝光, 吴郁松. 基于SE-DEA的高校官方微博运营绩效评估与分析[J]. 信息资源管理学报, 2016, 6(1): 44-51. ZHANG M, HUO C G, WU Y S.Evaluation and analysis of official Weibo operation performance of colleges and universities based on SE-DEA[J]. Journal of information resource management, 2016, 6(1): 44-51. [34] 刘虹, 孟凡赛, 孙建军. 基于DEA方法的政务微博信息交流效率研究[J]. 情报科学, 2017, 35(6): 9-13. LIU H, MENG F S, SUN J J.Research on information exchange efficiency of government affairs microblog based on DEA[J]. Information science, 2017, 35(6): 9-13. [35] 高安娜, 林海. 试析农业科技信息交流及其有效性[J]. 情报杂志, 1998, 2: 14-16. GAO A N, LIN H.A tentative analysis of agricultural science and technology information exchange and its effectiveness[J]. Intelligence magazine, 1998, 2: 14-16. [36] 陈靖. 政务微博在应急信息管理中的应用研究[D]. 湘潭: 湘潭大学, 2014. CHEN J.Research on the application of government affairs microblog in emergency information management[D]. Xiangtan: Xiangtan university, 2014. [37] 陈艳红, 陈靖. 政务微博在应急信息管理中的应用研究综述[J]. 成都理工大学学报(社会科学版), 2014(2): 11-15. CHEN Y H, CHEN J.A review of the application of government microblog in emergency information management[J]. Journal of Chengdu university of technology (social science edition), 2014(2): 11-15. [38] 宋迎法, 高娴. 国内网络问政研究综述[J]. 电子政务, 2012(2): 62-66. SONG Y F, GAO X.A summary of domestic network politics research[J]. The e-government, 2012(2): 62-66. |