{"id":"https://openalex.org/W2041651443","doi":"https://doi.org/10.1145/1935826.1935867","title":"Dynamic relationship and event discovery","display_name":"Dynamic relationship and event discovery","publication_year":2011,"publication_date":"2011-02-01","ids":{"openalex":"https://openalex.org/W2041651443","doi":"https://doi.org/10.1145/1935826.1935867","mag":"2041651443"},"language":"en","primary_location":{"id":"doi:10.1145/1935826.1935867","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1935826.1935867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fourth ACM international conference on Web search and data mining","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/A5114259175","display_name":"Anish Das Sarma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anish Das Sarma","raw_affiliation_strings":["Yahoo! Labs, Santa Clara, CA, USA","Yahoo! Labs., Santa Clara, CA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Yahoo! Labs, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210134091"]},{"raw_affiliation_string":"Yahoo! Labs., Santa Clara, CA, USA#TAB#","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110209854","display_name":"Alpa Jain","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alpa Jain","raw_affiliation_strings":["Yahoo! Labs, Santa Clara, CA, USA","Yahoo! Labs., Santa Clara, CA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Yahoo! Labs, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210134091"]},{"raw_affiliation_string":"Yahoo! Labs., Santa Clara, CA, USA#TAB#","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043275971","display_name":"Cong Yu","orcid":"https://orcid.org/0000-0001-7331-2345"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cong Yu","raw_affiliation_strings":["Google Research, New York, NY, USA","Google Research, New York, NY, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Google Research, New York, NY, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Research, New York, NY, USA#TAB#","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5114259175"],"corresponding_institution_ids":["https://openalex.org/I4210134091"],"apc_list":null,"apc_paid":null,"fwci":12.28,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.98611554,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"207","last_page":"216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9979000091552734,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9979000091552734,"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/T11719","display_name":"Data Quality and Management","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8140354752540588},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5850168466567993},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.5636324882507324},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.533660888671875},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5159912109375},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4704762101173401},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43501555919647217},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42114096879959106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2278994917869568},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1129743754863739},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08503386378288269}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8140354752540588},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5850168466567993},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.5636324882507324},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.533660888671875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5159912109375},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4704762101173401},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43501555919647217},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42114096879959106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2278994917869568},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1129743754863739},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08503386378288269},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1935826.1935867","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1935826.1935867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fourth ACM international conference on Web search and data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.185.2527","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.185.2527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eecs.umich.edu/%7Econgy/work/wsdm11.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W159497295","https://openalex.org/W167355512","https://openalex.org/W1493490255","https://openalex.org/W1553229631","https://openalex.org/W1567365482","https://openalex.org/W1973897992","https://openalex.org/W2026302857","https://openalex.org/W2047298125","https://openalex.org/W2069318033","https://openalex.org/W2103931177","https://openalex.org/W2115461474","https://openalex.org/W2118382442","https://openalex.org/W2124499489","https://openalex.org/W2127492100","https://openalex.org/W2166008115","https://openalex.org/W2613214602","https://openalex.org/W6629638141"],"related_works":["https://openalex.org/W2140798747","https://openalex.org/W2807251790","https://openalex.org/W2730112582","https://openalex.org/W2948169060","https://openalex.org/W2358580169","https://openalex.org/W2110696645","https://openalex.org/W2487211728","https://openalex.org/W2378096925","https://openalex.org/W2348031209","https://openalex.org/W1966962592"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,51,153],"problem":[4,100],"of":[5,14,84,87,143],"dynamic":[6,72,79,128,144],"relationship":[7],"and":[8,24,48,70,76,101,121],"event":[9],"discovery.":[10],"A":[11],"large":[12,141],"body":[13],"previous":[15],"work":[16],"on":[17,21,149],"relation":[18],"extraction":[19],"focuses":[20],"discovering":[22,69,136],"predefined":[23,43],"static":[25],"relationships":[26,39],"between":[27],"entities.":[28],"In":[29,110],"contrast,":[30],"we":[31,49,112],"aim":[32],"to":[33,58],"identify":[34,50],"temporally":[35],"defined":[36],"(e.g.,":[37],"co-bursting)":[38],"that":[40,56,89],"are":[41,90],"not":[42],"by":[44],"an":[45,103],"existing":[46],"schema,":[47],"underlying":[52],"time":[53,95],"constrained":[54],"events":[55,67,82,138],"lead":[57],"these":[59],"relationships.":[60,145],"The":[61],"key":[62],"challenges":[63],"in":[64],"identifying":[65],"such":[66,137],"include":[68],"verifying":[71],"connections":[73,80],"among":[74],"entities,":[75],"consolidating":[77],"binary":[78],"into":[81],"consisting":[83],"a":[85,93,108,140],"set":[86],"entities":[88],"connected":[91],"at":[92],"given":[94],"period.":[96],"We":[97,130],"formalize":[98],"this":[99],"introduce":[102,113],"efficient":[104,133],"end-to-end":[105],"pipeline":[106],"as":[107],"solution.":[109],"particular,":[111],"two":[114],"formal":[115],"notions,":[116],"global":[117],"temporal":[118,123],"constraint":[119,124],"cluster":[120],"local":[122],"cluster,":[125],"for":[126,135],"detecting":[127],"events.":[129],"further":[131],"design":[132],"algorithms":[134],"from":[139],"graph":[142],"Finally,":[146],"detailed":[147],"experiments":[148],"real":[150],"data":[151],"show":[152]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":15},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}