{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T14:37:01Z","timestamp":1774449421962,"version":"3.50.1"},"reference-count":67,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,12,2]],"date-time":"2021-12-02T00:00:00Z","timestamp":1638403200000},"content-version":"vor","delay-in-days":335,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71501153"],"award-info":[{"award-number":["71501153"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009103","name":"Education Department of Shaanxi Province","doi-asserted-by":"publisher","award":["20JG020"],"award-info":[{"award-number":["20JG020"]}],"id":[{"id":"10.13039\/501100009103","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007128","name":"Natural Science Foundation of Shaanxi Province","doi-asserted-by":"publisher","award":["2019JM-572"],"award-info":[{"award-number":["2019JM-572"]}],"id":[{"id":"10.13039\/501100007128","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>With the development of the Internet, social media has become an important platform for people to deal with emergencies and share information. When a public health emergency occurs, the public can understand the topics of the event and perceive the sentiments of others through social media, thus building a cooperative communication network. In this study, we took the public health emergency as the main research object and the natural disaster, accident, and social security event as the secondary research object and further revealed the law of the formation and evolution of public opinion through the analysis on temporal networks of topics and sentiments in social media platforms. Firstly, we identified the derived topics by constructing the topic model and used the sentiment classification model to divide the text sentiments of the derived topics into two types: positive sentiment and negative sentiment. Then, the ARIMA time series model was used to fit and predict the evolution and diffusion rules of topics and sentiments derived from public opinions on temporal networks. It was found that the evolution law of derived public opinions had similarities and differences in various types of emergencies and was closely related to government measures and media reports. The related research provides a foundation for the management of network public opinion and the realization of better emergency effects.<\/jats:p>","DOI":"10.1155\/2021\/2069010","type":"journal-article","created":{"date-parts":[[2021,12,2]],"date-time":"2021-12-02T23:35:08Z","timestamp":1638488108000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["[Retracted] A Study on the Topic\u2010Sentiment Evolution and Diffusion in Time Series of Public Opinion Derived from Emergencies"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9387-8717","authenticated-orcid":false,"given":"Meng","family":"Cai","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8957-7505","authenticated-orcid":false,"given":"Han","family":"Luo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5524-7444","authenticated-orcid":false,"given":"Ying","family":"Cui","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,12,2]]},"reference":[{"key":"e_1_2_10_1_2","article-title":"The analysis and policy recommendations on the spread of network public opinion in major production safety accidents\u2014a case study of the 8\u00b712 Tianjin port explosion","volume":"28","author":"Yijun L.","year":"2016","journal-title":"Management Review"},{"key":"e_1_2_10_2_2","unstructured":"UK government advice on definition of an emergency 2007 http:\/\/www.ukresilience.info\/upload\/assets\/www.ukresilience.info\/15mayshortguide.pdf."},{"key":"e_1_2_10_3_2","unstructured":"National overall emergency plan for public emergencies 2006 http:\/\/www.gov.cn\/jrzg\/2006-01\/08\/content_150878.htm."},{"key":"e_1_2_10_4_2","doi-asserted-by":"publisher","DOI":"10.1080\/01292986.2015.1130157"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2019.04.001"},{"key":"e_1_2_10_6_2","unstructured":"Digital 2021: April global statshot 2021 https:\/\/datareportal.com\/reports\/digital-2021-april-global-statshot."},{"key":"e_1_2_10_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2014.09.003"},{"key":"e_1_2_10_8_2","doi-asserted-by":"crossref","unstructured":"SarcevicA. PalenL. WhiteJ. StarbirdK. BagdouriM. andAndersonK. Beacons of hope\u201d in decentralized coordination: learning from on-the-ground medical twitterers during the 2010 Haiti earthquake Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work 2012 Seattle WA USA.","DOI":"10.1145\/2145204.2145217"},{"key":"e_1_2_10_9_2","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.1500779"},{"key":"e_1_2_10_10_2","first-page":"1173","article-title":"Probability for disaster chains in emergencies","volume":"50","author":"Li M.","year":"2010","journal-title":"Journal of Tsinghua University Science and Technology"},{"key":"e_1_2_10_11_2","first-page":"26","article-title":"A probe into secondary derived events of emergencies based on hot topic recognition","volume":"41","author":"Lu A.","year":"2020","journal-title":"Information and Documentation Services"},{"key":"e_1_2_10_12_2","doi-asserted-by":"publisher","DOI":"10.4018\/ijitwe.2017100101"},{"key":"e_1_2_10_13_2","doi-asserted-by":"crossref","unstructured":"PohlD. BouchachiaA. andHellwagnerH. Automatic sub-event detection in emergency management using social media Proceedings of the 21st International Conference on World Wide Web 2012 Lyon France https:\/\/doi.org\/10.1145\/2187980.2188180 2-s2.0-84861047224.","DOI":"10.1145\/2187980.2188180"},{"key":"e_1_2_10_14_2","first-page":"94","article-title":"Research on public opinion countermeasures of incidents based on Weibo","volume":"12","author":"Zhang E.","year":"2016","journal-title":"Intelligence Science"},{"key":"e_1_2_10_15_2","doi-asserted-by":"publisher","DOI":"10.1080\/1369118x.2017.1281991"},{"key":"e_1_2_10_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2018.09.048"},{"key":"e_1_2_10_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.03.076"},{"key":"e_1_2_10_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2016.10.004"},{"key":"e_1_2_10_19_2","doi-asserted-by":"crossref","unstructured":"BekoulisG. DeleuJ. DemeesterT. andDevelderC. Sub-event detection from twitter streams as a sequence labeling problem 2019 https:\/\/arxiv.org\/abs\/1903.05396.","DOI":"10.18653\/v1\/N19-1081"},{"key":"e_1_2_10_20_2","first-page":"116","article-title":"The generating and evolution of \u201csecondary public sentiment\u201d in public crisis: based on the focus on \u201c8\u00b712 Tianjin port explosion\u201d","volume":"9","author":"Liu Y.","year":"2017","journal-title":"Chinese Journal of Journalism & Communication"},{"key":"e_1_2_10_21_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2019.102177"},{"key":"e_1_2_10_22_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cnsns.2020.105189"},{"key":"e_1_2_10_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.07.055"},{"key":"e_1_2_10_24_2","doi-asserted-by":"crossref","unstructured":"YanX. GuoJ. LanY. XuJ. andChengX. A probabilistic model for bursty topic discovery in microblogs Proceedings of the AAAI Conference on Artificial Intelligence 2015 Austin TX USA.","DOI":"10.1609\/aaai.v29i1.9199"},{"key":"e_1_2_10_25_2","doi-asserted-by":"crossref","unstructured":"LiC. SunA. andDattaA. Twevent: segment-based event detection from tweets Proceedings of the 21st ACM International Conference on Information and Knowledge Management Association for Computing Machinery 2012 Maui HI USA 155\u2013164.","DOI":"10.1145\/2396761.2396785"},{"key":"e_1_2_10_26_2","doi-asserted-by":"crossref","unstructured":"MathioudakisM.andKoudasN. Twittermonitor: trend detection over the twitter stream Proceedings of the 2010 ACM SIGMOD International Conference on Management of Data 2010 Indianapolis IN USA.","DOI":"10.1145\/1807167.1807306"},{"key":"e_1_2_10_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2017.12.002"},{"key":"e_1_2_10_28_2","doi-asserted-by":"publisher","DOI":"10.1108\/oir-04-2016-0100"},{"key":"e_1_2_10_29_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.12.051"},{"key":"e_1_2_10_30_2","first-page":"150","article-title":"OLDA-based method for online topic evolution in network public opinion analysis","volume":"34","author":"Hu Y.","year":"2012","journal-title":"Journal of National University of Defense Technology"},{"key":"e_1_2_10_31_2","doi-asserted-by":"crossref","unstructured":"WangA.andZhangJ. Topic discovery method based on topic model combined with hierarchical clustering Proceedings of the 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC) 2020 Chongqing China https:\/\/doi.org\/10.1109\/itoec49072.2020.9141892.","DOI":"10.1109\/ITOEC49072.2020.9141892"},{"key":"e_1_2_10_32_2","doi-asserted-by":"publisher","DOI":"10.15837\/ijccc.2018.1.3176"},{"key":"e_1_2_10_33_2","first-page":"91","article-title":"On the online information dissemination pattern of city emergencies","volume":"34","author":"Yamin J.","year":"2015","journal-title":"Journal of Intelligence"},{"key":"e_1_2_10_34_2","doi-asserted-by":"publisher","DOI":"10.1002\/asi.24245"},{"key":"e_1_2_10_35_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-019-09794-5"},{"key":"e_1_2_10_36_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-017-9599-6"},{"key":"e_1_2_10_37_2","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1253"},{"key":"e_1_2_10_38_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10791-016-9281-7"},{"key":"e_1_2_10_39_2","doi-asserted-by":"publisher","DOI":"10.1111\/1468-5973.12311"},{"key":"e_1_2_10_40_2","doi-asserted-by":"crossref","unstructured":"SinglaZ. RandhawaS. andJainS. Statistical and sentiment analysis of consumer product reviews Proceedings of the 2017 8th International Conference on Computing Communication and Networking Technologies (ICCCNT) 2017 Delhi India IEEE https:\/\/doi.org\/10.1109\/icccnt.2017.8203960 2-s2.0-85041399814.","DOI":"10.1109\/ICCCNT.2017.8203960"},{"key":"e_1_2_10_41_2","doi-asserted-by":"crossref","unstructured":"ChenL.andWangF. Explaining recommendations based on feature sentiments in product reviews Proceedings of the 22nd International Conference on Intelligent User Interfaces 2017 Limassol Cyprus https:\/\/doi.org\/10.1145\/3025171.3025173 2-s2.0-85016503240.","DOI":"10.1145\/3025171.3025173"},{"key":"e_1_2_10_42_2","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-018-0164-1"},{"key":"e_1_2_10_43_2","doi-asserted-by":"crossref","unstructured":"WangH. CanD. KazemzadehA. BarF. andNarayananS. A system for real-time twitter sentiment analysis of 2012 US presidential election cycle Proceedings of the ACL 2012 System Demonstrations 2012 Jeju Island Republic of Korea.","DOI":"10.1063\/pt.4.0099"},{"key":"e_1_2_10_44_2","doi-asserted-by":"crossref","unstructured":"PagoluV. S. ReddyK. N. PandaG. andMajhiB. Sentiment analysis of twitter data for predicting stock market movements Proceedings of the 2016 International Conference on Signal Processing Communication Power and Embedded System (SCOPES) 2016 Paralakhemundi India IEEE https:\/\/doi.org\/10.1109\/scopes.2016.7955659 2-s2.0-85021819859.","DOI":"10.1109\/SCOPES.2016.7955659"},{"key":"e_1_2_10_45_2","volume-title":"Stock Prediction Using Twitter Sentiment Analysis","author":"Mittal A.","year":"2012"},{"key":"e_1_2_10_46_2","doi-asserted-by":"crossref","unstructured":"SoongH.-C. JalilN. B. A. AyyasamyR. K. andAkbarR. The essential of sentiment analysis and opinion mining in social media: introduction and survey of the recent approaches and techniques Proceedings of the 2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE) 2019 Kota Kinabalu Malaysia IEEE https:\/\/doi.org\/10.1109\/iscaie.2019.8743799 2-s2.0-85069207613.","DOI":"10.1109\/ISCAIE.2019.8743799"},{"key":"e_1_2_10_47_2","doi-asserted-by":"publisher","DOI":"10.1057\/s41599-020-0523-3"},{"key":"e_1_2_10_48_2","first-page":"120","article-title":"An integrated analysis of topical and emotional evolution of microblog public opinions on public emergencies","volume":"60","author":"Lu A.","year":"2017","journal-title":"Library and Information Service"},{"key":"e_1_2_10_49_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-015-1587-1"},{"key":"e_1_2_10_50_2","unstructured":"PakA.andParoubekP. Twitter as a corpus for sentiment analysis and opinion mining Proceedings of the 2010 International Conference on Language Resources and Evaluation 2010 Valletta Malta."},{"key":"e_1_2_10_51_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.09.117"},{"key":"e_1_2_10_52_2","doi-asserted-by":"crossref","unstructured":"XuJ. ChenD. QiuX. andHuangX. Cached long short-term memory neural networks for document-level sentiment classification 2016 https:\/\/arxiv.org\/abs\/1610.04989.","DOI":"10.18653\/v1\/D16-1172"},{"key":"e_1_2_10_53_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2021.102327"},{"key":"e_1_2_10_54_2","doi-asserted-by":"crossref","unstructured":"YanX. GuoJ. LanY. andChengX. A biterm topic model for short texts Proceedings of the 22nd International Conference on World Wide Web 2013 Rio de Janeiro Brazil https:\/\/doi.org\/10.1145\/2488388.2488514.","DOI":"10.1145\/2488388.2488514"},{"key":"e_1_2_10_55_2","unstructured":"MikolovT. YihW.-t. andZweigG. Linguistic regularities in continuous space word representations Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies 2013 Atlanta GA USA."},{"key":"e_1_2_10_56_2","unstructured":"MikolovT. SutskeverI. ChenK. CorradoG. andDeanJ. Distributed representations of words and phrases and their compositionality 2013 https:\/\/arxiv.org\/abs\/1310.4546."},{"key":"e_1_2_10_57_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-018-1095-6"},{"key":"e_1_2_10_58_2","doi-asserted-by":"crossref","unstructured":"LuoQ. XuW. andGuoJ. A study on the CBOW model\u2019s overfitting and stability Proceedings of the 5th International Workshop on Web-Scale Knowledge Representation Retrieval & Reasoning 2014 Shanghai China https:\/\/doi.org\/10.1145\/2663792.2663793 2-s2.0-84937778852.","DOI":"10.1145\/2663792.2663793"},{"key":"e_1_2_10_59_2","unstructured":"Dos SantosC.andGattiM. Deep convolutional neural networks for sentiment analysis of short texts Proceedings of the COLING 2014 25th International Conference on Computational Linguistics: Technical Papers 2014 Dublin Ireland."},{"key":"e_1_2_10_60_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-018-0799-4"},{"key":"e_1_2_10_61_2","volume-title":"Time Series Analysis: Forecasting and Control","author":"Box G. E.","year":"2015"},{"key":"e_1_2_10_62_2","doi-asserted-by":"publisher","DOI":"10.2196\/19115"},{"key":"e_1_2_10_63_2","doi-asserted-by":"crossref","unstructured":"Siami-NaminiS. TavakoliN. andNaminA. S. A comparison of ARIMA and LSTM in forecasting time series Proceedings of the 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) 2018 Orlando FL USA IEEE https:\/\/doi.org\/10.1109\/icmla.2018.00227 2-s2.0-85062240139.","DOI":"10.1109\/ICMLA.2018.00227"},{"key":"e_1_2_10_64_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-013-1804-2"},{"key":"e_1_2_10_65_2","first-page":"14","article-title":"the formation and evolution of public opinion derived from public security events: an analysis based on topic and time series","volume":"3","author":"Lu A.","year":"2020","journal-title":"Public Security Science"},{"key":"e_1_2_10_66_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-020-00803-0"},{"key":"e_1_2_10_67_2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.2967103"}],"updated-by":[{"DOI":"10.1155\/2023\/9794287","type":"retraction","label":"Retraction","source":"retraction-watch","updated":{"date-parts":[[2023,12,20]],"date-time":"2023-12-20T00:00:00Z","timestamp":1703030400000},"record-id":"58491"},{"DOI":"10.1155\/2023\/9794287","type":"retraction","label":"Retraction","source":"publisher","updated":{"date-parts":[[2023,12,20]],"date-time":"2023-12-20T00:00:00Z","timestamp":1703030400000}}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2021\/2069010.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2021\/2069010.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2021\/2069010","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T17:12:31Z","timestamp":1726247551000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2021\/2069010"}},"subtitle":[],"editor":[{"given":"Atila","family":"Bueno","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":67,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["10.1155\/2021\/2069010"],"URL":"https:\/\/doi.org\/10.1155\/2021\/2069010","archive":["Portico"],"relation":{"retraction":[{"id-type":"doi","id":"10.1155\/2023\/9794287","asserted-by":"object"}]},"ISSN":["1076-2787","1099-0526"],"issn-type":[{"value":"1076-2787","type":"print"},{"value":"1099-0526","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"2021-07-28","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-11-10","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-12-02","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"2069010"}}