{"id":"https://openalex.org/W2567216076","doi":"https://doi.org/10.1145/2996913.2996933","title":"Spatiotemporal topic association detection on tweets","display_name":"Spatiotemporal topic association detection on tweets","publication_year":2016,"publication_date":"2016-10-31","ids":{"openalex":"https://openalex.org/W2567216076","doi":"https://doi.org/10.1145/2996913.2996933","mag":"2567216076"},"language":"en","primary_location":{"id":"doi:10.1145/2996913.2996933","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2996913.2996933","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2996933&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2996933&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100635835","display_name":"Zhi Liu","orcid":"https://orcid.org/0000-0002-8973-6561"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhi Liu","raw_affiliation_strings":["University of North Texas"],"affiliations":[{"raw_affiliation_string":"University of North Texas","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764456","display_name":"Yan Huang","orcid":"https://orcid.org/0000-0002-0575-0156"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Huang","raw_affiliation_strings":["University of North Texas"],"affiliations":[{"raw_affiliation_string":"University of North Texas","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041752890","display_name":"Joshua R. Trampier","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joshua R. Trampier","raw_affiliation_strings":["Department of Defense"],"affiliations":[{"raw_affiliation_string":"Department of Defense","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100635835"],"corresponding_institution_ids":["https://openalex.org/I123534392"],"apc_list":null,"apc_paid":null,"fwci":0.442,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.68084725,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9853000044822693,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/closeness","display_name":"Closeness","score":0.8830923438072205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7153742909431458},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5924494862556458},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5910758972167969},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5521671175956726},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.5499699115753174},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5182337760925293},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.49668818712234497},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4931049048900604},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.45992857217788696},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4581749141216278},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4060928225517273},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13965365290641785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09768021106719971}],"concepts":[{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.8830923438072205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7153742909431458},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5924494862556458},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5910758972167969},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5521671175956726},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5499699115753174},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5182337760925293},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.49668818712234497},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4931049048900604},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.45992857217788696},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4581749141216278},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4060928225517273},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13965365290641785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09768021106719971},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2996913.2996933","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2996913.2996933","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2996933&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2996913.2996933","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2996913.2996933","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2996933&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G572938404","display_name":null,"funder_award_id":"HM02101310006","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"}],"funders":[{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2567216076.pdf","grobid_xml":"https://content.openalex.org/works/W2567216076.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W194728362","https://openalex.org/W1483240827","https://openalex.org/W1484413656","https://openalex.org/W1515526911","https://openalex.org/W1598339798","https://openalex.org/W1683269307","https://openalex.org/W1966797724","https://openalex.org/W1975109552","https://openalex.org/W2004809710","https://openalex.org/W2004918398","https://openalex.org/W2015186536","https://openalex.org/W2073083495","https://openalex.org/W2079339284","https://openalex.org/W2097604114","https://openalex.org/W2102980673","https://openalex.org/W2104894372","https://openalex.org/W2107990165","https://openalex.org/W2109734180","https://openalex.org/W2114544578","https://openalex.org/W2123656392","https://openalex.org/W2124499489","https://openalex.org/W2140427797","https://openalex.org/W2166202924","https://openalex.org/W2188871609","https://openalex.org/W2200482854"],"related_works":["https://openalex.org/W2156910174","https://openalex.org/W1995054232","https://openalex.org/W2011510925","https://openalex.org/W1557920161","https://openalex.org/W1556709767","https://openalex.org/W1993023208","https://openalex.org/W4291020658","https://openalex.org/W2593813644","https://openalex.org/W2392697706","https://openalex.org/W366033468"],"abstract_inverted_index":{"The":[0,15,125],"analysis":[1],"of":[2,39,86],"Twitter":[3,131],"data":[4],"can":[5,23],"help":[6],"to":[7,67,82,92,103],"predict":[8],"or":[9,57],"explain":[10],"many":[11],"real":[12,21,62],"world":[13,22],"phenomena.":[14],"relationships":[16,75],"among":[17,26,96],"events":[18],"in":[19,60,76],"the":[20,27,37,43,61,84,94,108,112,118,122],"be":[24],"reflected":[25],"topics":[28,97],"on":[29,129],"social":[30],"media.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35,115],"propose":[36,81,99],"concept":[38],"topic":[40,70,109,113],"association":[41,59],"and":[42,51,72,89,98,111,121],"associated":[44],"mining":[45,119,123],"algorithms.":[46],"Topics":[47],"with":[48,133],"close":[49],"temporal":[50],"spatial":[52],"relationship":[53],"may":[54],"have":[55],"direct":[56],"potential":[58],"world.":[63],"Our":[64],"goal":[65],"is":[66],"mine":[68],"such":[69],"associations":[71],"show":[73],"their":[74],"different":[77],"time-region":[78],"frames.":[79],"We":[80],"use":[83],"concepts":[85],"participation":[87,90],"ratio":[88],"index":[91,102],"measure":[93],"closeness":[95],"a":[100,130],"spatiotemporal":[101],"calculate":[104],"them":[105],"efficiently.":[106],"With":[107],"filtering":[110],"combination,":[114],"further":[116],"optimize":[117],"process":[120],"results.":[124],"algorithms":[126],"are":[127],"evaluated":[128],"dataset":[132],"27,956,257":[134],"tweets.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}
