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1、RESEARCHARTICLEUsingSocialMediatoDetectOutdoorAirPollutionandMonitorAirQualityIndex(AQI):AGeo-TargetedSpatiotemporalAnalysisFrameworkwithSinaWeibo(ChineseTwitter)1☯1☯2‡1‡WeiJiang,YandongWang*,Ming-HsiangTsou,XiaokangFu1StateKeyLaboratoryofInformationEngine
2、erinSurveying,MappingandRemoteSensing,WuhanUniversity,Wuhan,Hubei,China,2DepartmentofGeography,SanDiegoStateUniversity,SanDiego,California,UnitedStatesofAmerica☯Theseauthorscontributedequallytothiswork.‡Theseauthorsalsocontributedequallytothiswork*ydwang@w
3、hu.edu.cnOPENACCESSCitation:JiangW,WangY,TsouM-H,FuX(2015)AbstractUsingSocialMediatoDetectOutdoorAirPollutionandMonitorAirQualityIndex(AQI):AGeo-TargetedOutdoorairpollutionisaseriousprobleminmanydevelopingcountriestoday.ThisstudySpatiotemporalAnalysisFrame
4、workwithSinaWeibo(ChineseTwitter).PLoSONE10(10):e0141185.focusesonmonitoringthedynamicchangesofairqualityeffectivelyinlargecitiesbyana-doi:10.1371/journal.pone.0141185lyzingthespatiotemporaltrendsingeo-targetedsocialmediamessageswithcomprehen-Editor:LuísA.
5、NunesAmaral,Northwesternsivebigdatafilteringprocedures.WeintroduceanewsocialmediaanalyticframeworktoUniversity,UNITEDSTATES(1)investigatetherelationshipbetweenairpollutiontopicspostedinSinaWeibo(ChineseReceived:March28,2015Twitter)andthedailyAirQualityInde
6、x(AQI)publishedbyChina’sMinistryofEnvironmentalProtection;and(2)monitorthedynamicsofairqualityindexbyusingsocialmediames-Accepted:October6,2015sages.CorrelationanalysiswasusedtocomparetheconnectionsbetweendiscussionPublished:October27,2015trendsinsocialmed
7、iamessagesandthetemporalchangesintheAQIduring2012.Wecat-Copyright:©2015Jiangetal.Thisisanopenegorizedrelevantmessagesintothreetypes,retweets,mobileappmessages,andoriginalaccessarticledistributedunderthetermsoftheindividualmessagesfindingthatoriginalindivid
8、ualmessageshadthehighestcorrelationtoCreativeCommonsAttributionLicense,whichpermitsunrestricteduse,distribution,andreproductioninanytheAirQualityIndex.Basedonthiscorrelationanalysis,individualmessageswereused
