{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T22:05:21Z","timestamp":1757541921088},"reference-count":10,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Asia Pac. J. Oper. Res."],"published-print":{"date-parts":[[2017,2]]},"abstract":"<jats:p> Emergency incidents can trigger heated discussions on microblogging platforms, and a great number of tweets related to emergency incidents are retweeted by users. Consequently, social media big data related to the emergency incidents is generated from various social media platforms, which can be used to predict users\u2019 retweeting behavior. In this paper, the characteristics of individuals\u2019 retweeting behaviors in emergency incidents are analyzed, and then 11 important characteristics are extracted from recipient characteristics, retweeter characteristics, tweet content characteristics, and external media coverage. A back propagation neural network (BPNN) model called PRBBP is used to predict retweeting behavior in such emergency incidents. Based on PRBBP, an algorithm called PRABP is proposed to predict the number of retweets in emergency incidents. The experiments are performed on a large-scale dataset crawled from Sina weibo. The simulation results show that both the PRBBP model and the PRABP algorithm proposed by this paper have excellent predictive performance. <\/jats:p>","DOI":"10.1142\/s0217595917400115","type":"journal-article","created":{"date-parts":[[2017,2,24]],"date-time":"2017-02-24T05:36:29Z","timestamp":1487914589000},"page":"1740011","source":"Crossref","is-referenced-by-count":5,"title":["Predicting Retweeting Behavior Based on BPNN in Emergency Incidents"],"prefix":"10.1142","volume":"34","author":[{"given":"Xuejun","family":"Ding","sequence":"first","affiliation":[{"name":"School of Management, Hefei University of Technology, Hefei, P. R. China"},{"name":"School of Management Science and Engineering, Dongbei University of Finance and Economics, Dalian 116025, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Tian","sequence":"additional","affiliation":[{"name":"School of Physics and Electronic Technology, Liaoning Normal University, Dalian 116029, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2017,2,23]]},"reference":[{"key":"S0217595917400115BIB002","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1145\/2348283.2348372","author":"Chen K","year":"2012","journal-title":"Sigir"},{"key":"S0217595917400115BIB003","doi-asserted-by":"publisher","DOI":"10.1108\/03090561211189220"},{"key":"S0217595917400115BIB008","doi-asserted-by":"publisher","DOI":"10.3724\/SP.J.1016.2011.01853"},{"key":"S0217595917400115BIB010","volume-title":"Comparative Study of Blog and Microblog","author":"Lu Y","year":"2011"},{"key":"S0217595917400115BIB011","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2010.2052042"},{"issue":"6","key":"S0217595917400115BIB014","first-page":"137","volume":"34","author":"Sun H","year":"2012","journal-title":"Modern Communication"},{"key":"S0217595917400115BIB015","doi-asserted-by":"publisher","DOI":"10.3724\/SP.J.1087.2013.01809"},{"key":"S0217595917400115BIB016","first-page":"43","author":"Xia Y","year":"2011","journal-title":"Journalism & Communication"},{"issue":"3","key":"S0217595917400115BIB019","first-page":"0389","volume":"62","author":"Yuan WG","year":"2013","journal-title":"Acta Physica Sinica"},{"issue":"4","key":"S0217595917400115BIB024","first-page":"109","volume":"26","author":"Zhang Y","year":"2012","journal-title":"Journal of Chinese Information Processing"}],"container-title":["Asia-Pacific Journal of Operational Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0217595917400115","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T18:18:11Z","timestamp":1565115491000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0217595917400115"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,2]]},"references-count":10,"journal-issue":{"issue":"01","published-online":{"date-parts":[[2017,2,23]]},"published-print":{"date-parts":[[2017,2]]}},"alternative-id":["10.1142\/S0217595917400115"],"URL":"https:\/\/doi.org\/10.1142\/s0217595917400115","relation":{},"ISSN":["0217-5959","1793-7019"],"issn-type":[{"value":"0217-5959","type":"print"},{"value":"1793-7019","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,2]]}}}