{"id":"https://openalex.org/W2745188823","doi":"https://doi.org/10.1109/isi.2017.8004905","title":"Online event detection and tracking in social media based on neural similarity metric learning","display_name":"Online event detection and tracking in social media based on neural similarity metric learning","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2745188823","doi":"https://doi.org/10.1109/isi.2017.8004905","mag":"2745188823"},"language":"en","primary_location":{"id":"doi:10.1109/isi.2017.8004905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi.2017.8004905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Intelligence and Security Informatics (ISI)","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/A5038679333","display_name":"Guandan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guandan Chen","raw_affiliation_strings":["School of Computer and Control Engineering, University of Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034695084","display_name":"Qingchao Kong","orcid":"https://orcid.org/0000-0002-1929-8404"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingchao Kong","raw_affiliation_strings":["School of Computer and Control Engineering, University of Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035983004","display_name":"Wenji Mao","orcid":"https://orcid.org/0000-0003-2323-5091"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenji Mao","raw_affiliation_strings":["School of Computer and Control Engineering, University of Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038679333"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.2132,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.78703415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"182","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9983000159263611,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9945999979972839,"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/computer-science","display_name":"Computer science","score":0.771604597568512},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7104529142379761},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6735134124755859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6313807964324951},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6032167077064514},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5504922270774841},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5283337831497192},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5166381001472473},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5144941806793213},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.508618950843811},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.45654985308647156},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42565280199050903},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4185711145401001},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07984927296638489}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.771604597568512},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7104529142379761},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6735134124755859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6313807964324951},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6032167077064514},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5504922270774841},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5283337831497192},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5166381001472473},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5144941806793213},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.508618950843811},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.45654985308647156},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42565280199050903},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4185711145401001},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07984927296638489},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isi.2017.8004905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi.2017.8004905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Intelligence and Security Informatics (ISI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W11244355","https://openalex.org/W153416840","https://openalex.org/W1982029265","https://openalex.org/W2111845144","https://openalex.org/W2125099364","https://openalex.org/W2250899105","https://openalex.org/W2470673105","https://openalex.org/W2953044442","https://openalex.org/W4239816785","https://openalex.org/W6600459962","https://openalex.org/W6691581006"],"related_works":["https://openalex.org/W2084086966","https://openalex.org/W2023861399","https://openalex.org/W2730915376","https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2626306547","https://openalex.org/W2012019886","https://openalex.org/W2166090428","https://openalex.org/W2021396365","https://openalex.org/W4297427155"],"abstract_inverted_index":{"The":[0,41],"ever-growing":[1],"number":[2],"of":[3,33,43,64,128,149],"users":[4],"makes":[5],"social":[6],"media":[7],"a":[8,53,57,95,110,121,133],"valuable":[9],"information":[10],"source":[11],"about":[12],"recent":[13,29],"events.":[14],"Event":[15],"detection":[16,35,79],"and":[17,25,36,67,80,105,124,130,138],"tracking":[18,37,81],"plays":[19],"an":[20,47,76],"important":[21],"role":[22],"in":[23],"decision-making":[24],"public":[26],"management.":[27],"Despite":[28],"progress,":[30],"the":[31,62,147],"performance":[32],"event":[34,78,100,140],"is":[38],"still":[39],"limited.":[40],"majority":[42],"existing":[44],"work":[45],"lacks":[46],"effective":[48],"way":[49],"to":[50,56,61,98,118,136],"judge":[51],"whether":[52],"text":[54],"related":[55,101],"certain":[58],"event,":[59],"due":[60],"limitations":[63],"semantic":[65],"representation":[66,127],"heuristic":[68],"similarity":[69,85,122],"metric.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74,108,114],"present":[75],"online":[77],"method":[82,92],"based":[83],"on":[84,143],"metric":[86,123],"learning":[87],"using":[88],"neural":[89,116],"network.":[90],"Our":[91],"first":[93],"trains":[94],"classification":[96],"model":[97],"identify":[99],"texts.":[102],"To":[103],"detect":[104],"track":[106],"events,":[107,129],"adopt":[109],"clustering-based":[111],"approach.":[112],"Specifically,":[113],"use":[115,132],"network":[117],"jointly":[119],"learn":[120],"low":[125],"dimension":[126],"then":[131],"memory":[134],"module":[135],"store":[137],"update":[139],"representation.":[141],"Experiments":[142],"Twitter":[144],"dataset":[145],"show":[146],"effectiveness":[148],"our":[150],"proposed":[151],"method.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}