{"id":"https://openalex.org/W3211018952","doi":"https://doi.org/10.1145/3459637.3482473","title":"Robust Dynamic Clustering for Temporal Networks","display_name":"Robust Dynamic Clustering for Temporal Networks","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3211018952","doi":"https://doi.org/10.1145/3459637.3482473","mag":"3211018952"},"language":"en","primary_location":{"id":"doi:10.1145/3459637.3482473","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","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/A5067652635","display_name":"Jingyi You","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jingyi You","raw_affiliation_strings":["Tokyo Institute of Technology, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029831489","display_name":"Chenlong Hu","orcid":"https://orcid.org/0000-0003-2741-9840"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chenlong Hu","raw_affiliation_strings":["Tokyo Institute of Technology, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016936747","display_name":"Hidetaka Kamigaito","orcid":"https://orcid.org/0000-0002-5249-5813"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hidetaka Kamigaito","raw_affiliation_strings":["Tokyo Institute of Technology, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069989297","display_name":"Kotaro Funakoshi","orcid":"https://orcid.org/0000-0002-4529-4634"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kotaro Funakoshi","raw_affiliation_strings":["Tokyo Institute of Technology, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035876897","display_name":"Manabu Okumura","orcid":"https://orcid.org/0009-0001-7730-1536"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Manabu Okumura","raw_affiliation_strings":["Tokyo Institute of Technology, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7876,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72131776,"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":"2424","last_page":"2433"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9868000149726868,"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":0.6647798418998718},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6444353461265564},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.5139017105102539},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4726473391056061},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4551602900028229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36606597900390625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3383070230484009},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32278257608413696}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6647798418998718},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6444353461265564},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.5139017105102539},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4726473391056061},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4551602900028229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36606597900390625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3383070230484009},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32278257608413696}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3459637.3482473","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:00897:0005376707","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100874351","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1788828796","display_name":null,"funder_award_id":"202108050068","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W1978259121","https://openalex.org/W2022651954","https://openalex.org/W2057069782","https://openalex.org/W2087962968","https://openalex.org/W2103972604","https://openalex.org/W2115155307","https://openalex.org/W2118686230","https://openalex.org/W2118718620","https://openalex.org/W2120043163","https://openalex.org/W2154851992","https://openalex.org/W2155640700","https://openalex.org/W2293546752","https://openalex.org/W2580917121","https://openalex.org/W2783382315","https://openalex.org/W2803188032","https://openalex.org/W2808087697","https://openalex.org/W2884810987","https://openalex.org/W2921596575","https://openalex.org/W2962756421","https://openalex.org/W2963074844","https://openalex.org/W2963512530","https://openalex.org/W2970290513","https://openalex.org/W2972607219","https://openalex.org/W2975802621","https://openalex.org/W2982049632","https://openalex.org/W2997390259","https://openalex.org/W3000279467","https://openalex.org/W3015356384","https://openalex.org/W3035145740","https://openalex.org/W3035665545","https://openalex.org/W3080190857","https://openalex.org/W3081102048","https://openalex.org/W3100897674","https://openalex.org/W3103995645","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W3212275872","https://openalex.org/W4291474301"],"related_works":["https://openalex.org/W3036264823","https://openalex.org/W3206528106","https://openalex.org/W2123605750","https://openalex.org/W2912814903","https://openalex.org/W2088740331","https://openalex.org/W2950907416","https://openalex.org/W3038102983","https://openalex.org/W2082479932","https://openalex.org/W4281484020","https://openalex.org/W2932872266"],"abstract_inverted_index":{"Dynamic":[0],"community":[1],"detection":[2],"(or":[3],"graph":[4,34,38,66,70,98],"clustering)":[5],"in":[6,178],"temporal":[7,43,179],"networks":[8],"has":[9],"attracted":[10],"much":[11],"attention":[12],"because":[13],"it":[14],"is":[15],"promising":[16],"for":[17,30,175],"revealing":[18],"the":[19,31,94,103,136,148],"underlying":[20],"mechanism":[21],"of":[22,33],"complex":[23],"real-world":[24,162],"systems.":[25],"Current":[26],"methods":[27],"are":[28,90],"criticized":[29],"independence":[32],"representation":[35,67],"learning":[36,68],"and":[37,46,69,118,160],"clustering,":[39,71],"considerable":[40],"noise":[41,120,128],"during":[42],"information":[44,117],"smoothing,":[45],"high":[47],"time":[48,131],"complexity.":[49],"We":[50,100],"propose":[51,142],"a":[52,81,108,123],"R":[53],"obust":[54],"T":[55],"emporal":[56],"S":[57],"moothing":[58],"C":[59],"lustering":[60],"method":[61],"(RTSC),":[62],"which":[63],"involves":[64],"joint":[65],"to":[72,106,126],"solve":[73,135],"these":[74],"problems.":[75],"RTSC":[76,168],"can":[77],"be":[78],"formulated":[79],"as":[80],"constrained":[82],"multi-objective":[83],"optimization":[84,138,144],"problem.":[85],"Specifically,":[86],"three-order":[87],"successive":[88],"snapshots":[89],"first":[91],"projected":[92],"into":[93],"same":[95],"subspace":[96],"via":[97],"embedding.":[99],"then":[101],"use":[102],"embedding":[104],"matrices":[105,121],"learn":[107],"common":[109],"low-rank":[110],"block-diagonal":[111],"matrix":[112],"that":[113,167],"contains":[114],"current":[115],"clustering":[116,177],"specific":[119],"with":[122],"sparse":[124],"constraint":[125],"remove":[127],"at":[129],"each":[130],"step.":[132],"To":[133],"efficiently":[134],"challenging":[137],"problem,":[139],"we":[140],"also":[141],"an":[143],"procedure":[145],"based":[146],"on":[147,156],"augmented":[149],"Lagrangian":[150],"multiplier":[151],"(ALM)":[152],"scheme.":[153],"Experimental":[154],"results":[155],"six":[157,172],"artificial":[158],"datasets":[159,165],"four":[161],"dynamic":[163,176],"network":[164],"indicate":[166],"performs":[169],"better":[170],"than":[171],"state-of-the-art":[173],"algorithms":[174],"networks.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
