{"id":"https://openalex.org/W2780220575","doi":"https://doi.org/10.1145/3148011.3154477","title":"Local Event Discovery from Tweets Metadata","display_name":"Local Event Discovery from Tweets Metadata","publication_year":2017,"publication_date":"2017-12-04","ids":{"openalex":"https://openalex.org/W2780220575","doi":"https://doi.org/10.1145/3148011.3154477","mag":"2780220575"},"language":"en","primary_location":{"id":"doi:10.1145/3148011.3154477","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3148011.3154477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Knowledge Capture Conference","raw_type":"proceedings-article"},"type":"article","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/A5026783387","display_name":"Mohammed Hasanuzzaman","orcid":"https://orcid.org/0000-0003-1838-0091"},"institutions":[{"id":"https://openalex.org/I2802744477","display_name":"Irish Centre for High-End Computing","ror":"https://ror.org/04te6a418","country_code":"IE","type":"funder","lineage":["https://openalex.org/I2802744477"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Mohammed Hasanuzzaman","raw_affiliation_strings":["ADAPT Centre, School of Computing, DCU, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"ADAPT Centre, School of Computing, DCU, Dublin, Ireland","institution_ids":["https://openalex.org/I2802744477"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055864641","display_name":"Andy Way","orcid":"https://orcid.org/0000-0001-5736-5930"},"institutions":[{"id":"https://openalex.org/I2802744477","display_name":"Irish Centre for High-End Computing","ror":"https://ror.org/04te6a418","country_code":"IE","type":"funder","lineage":["https://openalex.org/I2802744477"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Andy Way","raw_affiliation_strings":["ADAPT Centre, School of Computing, DCU, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"ADAPT Centre, School of Computing, DCU, Dublin, Ireland","institution_ids":["https://openalex.org/I2802744477"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026783387"],"corresponding_institution_ids":["https://openalex.org/I2802744477"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19077035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9958999752998352,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9958999752998352,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/metadata","display_name":"Metadata","score":0.8692981004714966},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8484953045845032},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7099771499633789},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6622011065483093},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.6516361236572266},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6158773303031921},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.534668505191803},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4359097480773926},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19461610913276672}],"concepts":[{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.8692981004714966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8484953045845032},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7099771499633789},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6622011065483093},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.6516361236572266},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6158773303031921},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.534668505191803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4359097480773926},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19461610913276672},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3148011.3154477","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3148011.3154477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Knowledge Capture Conference","raw_type":"proceedings-article"},{"id":"pmh:http://www.rian.ie/167529/","is_oa":false,"landing_page_url":"http://doras.dcu.ie/23352/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400033","display_name":"Arrow@dit (Dublin Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I115570527","host_organization_name":"Dublin Institute of Technology","host_organization_lineage":["https://openalex.org/I115570527"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Hasanuzzaman, Mohammed ORCID: 0000-0003-1838-0091 <https://orcid.org/0000-0003-1838-0091> and Way, Andy ORCID: 0000-0001-5736-5930 <https://orcid.org/0000-0001-5736-5930>  (2017) Local event discovery from tweets metadata.  In: K-CAP 2017: The 9th International Conference on Knowledge Capture, 4\u20136 Dec 2017, Austin, TX, USA.  ISBN 978-1-4503-5553-7","raw_type":"Other"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5299999713897705,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1076797115","display_name":null,"funder_award_id":"co-funded","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G2563910032","display_name":null,"funder_award_id":"13/RC/2106","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G3993907298","display_name":null,"funder_award_id":"13/RC/2106","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"}],"funders":[{"id":"https://openalex.org/F4320320847","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W11244355","https://openalex.org/W1931583150","https://openalex.org/W1976146430","https://openalex.org/W1998032016","https://openalex.org/W2002151188","https://openalex.org/W2020221730","https://openalex.org/W2020360881","https://openalex.org/W2036352360","https://openalex.org/W2048444585","https://openalex.org/W2103652203","https://openalex.org/W2109851367","https://openalex.org/W2113622101","https://openalex.org/W2124499489","https://openalex.org/W2138235384","https://openalex.org/W2168400688","https://openalex.org/W2404243041","https://openalex.org/W4232792366","https://openalex.org/W6600459962"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662"],"abstract_inverted_index":{"We":[0,96],"present":[1],"a":[2,105],"two-step":[3],"strategy":[4],"that":[5,108,117],"addresses":[6],"fundamental":[7],"deficiencies":[8],"in":[9,123],"social":[10],"media-based":[11],"event":[12,18],"detection":[13],"and":[14,72,127],"achieves":[15],"effective":[16],"local":[17,41,129],"by":[19,90],"taking":[20],"advantage":[21],"of":[22,36,53,59,93,111,125],"geo-located":[23],"data":[24,106],"from":[25],"Twitter.":[26],"While":[27],"previous":[28],"work":[29],"has":[30],"mainly":[31],"relied":[32],"on":[33,104],"an":[34],"analysis":[35,52],"tweet":[37],"text":[38],"to":[39,46,76,99],"identify":[40],"events,":[42],"we":[43],"show":[44,116],"how":[45],"reliably":[47],"detect":[48],"events":[49,130],"using":[50,74],"meta-data":[51],"geo-tagged":[54,112],"tweets.":[55,113],"The":[56,114],"first":[57],"step":[58],"the":[60,67,82,88,91,101],"method":[61],"identifies":[62],"several":[63],"spatio-temporal":[64],"clusters":[65],"within":[66],"dataset":[68],"across":[69],"both":[70],"space":[71],"time":[73],"metadata":[75],"form":[77],"potential":[78],"candidate":[79],"events.":[80],"In":[81],"second":[83],"step,":[84],"it":[85],"ranks":[86],"all":[87],"candidates":[89],"amount":[92],"hashtag/entity":[94],"inequality.":[95],"used":[97],"crowdsourcing":[98],"evaluate":[100],"proposed":[102],"approach":[103],"set":[107],"contains":[109],"millions":[110],"results":[115],"our":[118],"framework":[119],"performs":[120],"reasonably":[121],"well":[122],"terms":[124],"precision":[126],"discovers":[128],"faster.":[131]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}