{"id":"https://openalex.org/W3018642885","doi":"https://doi.org/10.1109/isc246665.2019.9071736","title":"Geo-Tagging Quality-of-Experience Self-Reporting on Twitter to Mobile Network Outage Events","display_name":"Geo-Tagging Quality-of-Experience Self-Reporting on Twitter to Mobile Network Outage Events","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3018642885","doi":"https://doi.org/10.1109/isc246665.2019.9071736","mag":"3018642885"},"language":"en","primary_location":{"id":"doi:10.1109/isc246665.2019.9071736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc246665.2019.9071736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Smart Cities Conference (ISC2)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038201898","display_name":"Weijie Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Weijie Qi","raw_affiliation_strings":["University of Warwick, Coventry, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Warwick, Coventry, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062362866","display_name":"Weisi Guo","orcid":"https://orcid.org/0000-0003-3524-3953"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weisi Guo","raw_affiliation_strings":["Ranplan, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ranplan, Cambridge, United Kingdom","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056201855","display_name":"Rob Procter","orcid":"https://orcid.org/0000-0001-8059-5224"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rob Procter","raw_affiliation_strings":["Ranplan, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ranplan, Cambridge, United Kingdom","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100436731","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-3354-0690"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["Ranplan, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ranplan, Cambridge, United Kingdom","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"651","last_page":"657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7893368005752563},{"id":"https://openalex.org/keywords/newspaper","display_name":"Newspaper","score":0.5745283365249634},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5716019868850708},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.47732311487197876},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4626316428184509},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.44437921047210693},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.43855035305023193},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.43245190382003784},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.43000733852386475},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4248216152191162},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39241617918014526},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3192136287689209},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.30767059326171875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28300148248672485},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17983683943748474}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7893368005752563},{"id":"https://openalex.org/C201280247","wikidata":"https://www.wikidata.org/wiki/Q11032","display_name":"Newspaper","level":2,"score":0.5745283365249634},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5716019868850708},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.47732311487197876},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4626316428184509},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.44437921047210693},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.43855035305023193},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.43245190382003784},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.43000733852386475},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4248216152191162},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39241617918014526},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3192136287689209},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30767059326171875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28300148248672485},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17983683943748474},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isc246665.2019.9071736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc246665.2019.9071736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Smart Cities Conference (ISC2)","raw_type":"proceedings-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:143826","is_oa":false,"landing_page_url":"http://wrap.warwick.ac.uk/143826/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1505742155","https://openalex.org/W1577018537","https://openalex.org/W1743243001","https://openalex.org/W1930967223","https://openalex.org/W1980960305","https://openalex.org/W1982471600","https://openalex.org/W1985233035","https://openalex.org/W1993995511","https://openalex.org/W1996790762","https://openalex.org/W2018277822","https://openalex.org/W2021278340","https://openalex.org/W2031622489","https://openalex.org/W2051320301","https://openalex.org/W2054599409","https://openalex.org/W2077051876","https://openalex.org/W2099968325","https://openalex.org/W2102366705","https://openalex.org/W2103674672","https://openalex.org/W2112710315","https://openalex.org/W2115023510","https://openalex.org/W2151848474","https://openalex.org/W2167258756","https://openalex.org/W2168346693","https://openalex.org/W2251035739","https://openalex.org/W2282112529","https://openalex.org/W2332414256","https://openalex.org/W2374172760","https://openalex.org/W2419439193","https://openalex.org/W2499527550","https://openalex.org/W2532561422","https://openalex.org/W2534257000","https://openalex.org/W2604948230","https://openalex.org/W2626115418","https://openalex.org/W2767341768","https://openalex.org/W2782822796","https://openalex.org/W2795658001","https://openalex.org/W2799789400","https://openalex.org/W2800182763","https://openalex.org/W2803922039","https://openalex.org/W2911988977","https://openalex.org/W2950974174","https://openalex.org/W2967458960","https://openalex.org/W3104257244","https://openalex.org/W6637805623","https://openalex.org/W6728589476"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W3089396779","https://openalex.org/W4206777497","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W3021501837"],"abstract_inverted_index":{"Mobile":[0],"wireless":[1],"networks":[2],"underpin":[3],"digital":[4],"economies":[5],"and":[6,10,18,49,75,128,146],"smart":[7],"cities.":[8],"Local":[9],"national":[11,153],"scale":[12],"network":[13,103,141],"failures":[14],"cause":[15],"widespread":[16],"social":[17,26],"economic":[19],"impact.":[20],"Self-reporting":[21],"of":[22,59,130],"consumer":[23,41,68],"experience":[24,42],"on":[25,156],"media":[27],"platforms":[28],"can":[29,137],"inform":[30],"operators.":[31],"This":[32],"paper":[33],"investigates":[34],"an":[35],"innovative":[36],"method":[37],"to":[38,43,65,124],"detect":[39,66,139],"the":[40,67,89,152],"outage":[44],"events":[45],"in":[46,108,143],"both":[47,144],"temporal":[48],"spatial":[50],"domain":[51],"using":[52,76],"Twitter":[53],"data.":[54],"We":[55,80],"use":[56],"a":[57,71,82,92],"variety":[58],"natural":[60],"language":[61],"processing":[62],"(NLP)":[63],"analysis":[64],"sentiment":[69],"from":[70,91],"custom":[72],"made":[73],"dictionary":[74],"naive":[77],"Bayes":[78],"classifier.":[79],"propose":[81],"hybrid":[83,117],"geo-information":[84,118],"extraction":[85,119],"that":[86,114],"sequentially":[87],"extracts":[88],"geo-location":[90],"priority":[93],"list.":[94],"A":[95],"case":[96],"study":[97],"upon":[98],"recent":[99],"UK":[100],"wide":[101],"mobile":[102],"failure":[104],"has":[105,121],"been":[106,122],"implemented":[107],"this":[109,140,157],"paper.":[110],"The":[111],"results":[112],"show":[113],"our":[115,135],"proposed":[116],"system":[120,136],"able":[123],"increase":[125],"data":[126],"size":[127],"accuracy":[129],"geo":[131],"labelled":[132],"Tweets.":[133],"Also,":[134],"successfully":[138],"issue":[142],"time":[145],"location,":[147],"which":[148],"is":[149],"validated":[150],"by":[151],"newspaper":[154],"reports":[155],"issue.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}