{"id":"https://openalex.org/W1836916015","doi":"https://doi.org/10.1007/s00453-021-00816-9","title":"Correlation Clustering in Data Streams","display_name":"Correlation Clustering in Data Streams","publication_year":2021,"publication_date":"2021-03-13","ids":{"openalex":"https://openalex.org/W1836916015","doi":"https://doi.org/10.1007/s00453-021-00816-9","mag":"1836916015"},"language":"en","primary_location":{"id":"doi:10.1007/s00453-021-00816-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00453-021-00816-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00453-021-00816-9.pdf","source":{"id":"https://openalex.org/S89324355","display_name":"Algorithmica","issn_l":"0178-4617","issn":["0178-4617","1432-0541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithmica","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00453-021-00816-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068326243","display_name":"Kook Jin Ahn","orcid":"https://orcid.org/0000-0001-6081-7360"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]},{"id":"https://openalex.org/I922845939","display_name":"Philadelphia University","ror":"https://ror.org/03zzmyz63","country_code":"US","type":"education","lineage":["https://openalex.org/I922845939"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kook Jin Ahn","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, USA","University of Pennsylvania Philadelphia, PA 19104 (USA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, USA","institution_ids":["https://openalex.org/I922845939","https://openalex.org/I79576946"]},{"raw_affiliation_string":"University of Pennsylvania Philadelphia, PA 19104 (USA)","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031896681","display_name":"Graham Cormode","orcid":"https://orcid.org/0000-0002-0698-0922"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Graham Cormode","raw_affiliation_strings":["University of Warwick, Coventry, UK","University of Warwick ,  Coventry CV4 7AL ,  UK"],"raw_orcid":"https://orcid.org/0000-0002-0698-0922","affiliations":[{"raw_affiliation_string":"University of Warwick, Coventry, UK","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"University of Warwick ,  Coventry CV4 7AL ,  UK","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114008024","display_name":"Sudipto Guha","orcid":null},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]},{"id":"https://openalex.org/I922845939","display_name":"Philadelphia University","ror":"https://ror.org/03zzmyz63","country_code":"US","type":"education","lineage":["https://openalex.org/I922845939"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sudipto Guha","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, USA","University of Pennsylvania Philadelphia, PA 19104 (USA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, USA","institution_ids":["https://openalex.org/I922845939","https://openalex.org/I79576946"]},{"raw_affiliation_string":"University of Pennsylvania Philadelphia, PA 19104 (USA)","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101979548","display_name":"Andrew McGregor","orcid":"https://orcid.org/0000-0002-2124-160X"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew McGregor","raw_affiliation_strings":["University of Massachusetts Amherst, Amherst, USA","University of Massachusetts Amherst, MA 01003, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, Amherst, USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"University of Massachusetts Amherst, MA 01003, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087794199","display_name":"Anthony Wirth","orcid":"https://orcid.org/0000-0003-3746-6704"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Anthony Wirth","raw_affiliation_strings":["School of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia","Department of Computing and Information Systems, The University of Melbourne, VIC 3010, Australia#TAB#"],"raw_orcid":"https://orcid.org/0000-0003-3746-6704","affiliations":[{"raw_affiliation_string":"School of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"Department of Computing and Information Systems, The University of Melbourne, VIC 3010, Australia#TAB#","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031896681"],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":{"value":2290,"currency":"EUR","value_usd":2890},"fwci":1.6737,"has_fulltext":true,"cited_by_count":50,"citation_normalized_percentile":{"value":0.8304679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"83","issue":"7","first_page":"1980","last_page":"2017"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9907000064849854,"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":0.9900000095367432,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5887332558631897},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5280889868736267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.483883261680603},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.46134454011917114},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3560669720172882},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3403233289718628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24175608158111572}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5887332558631897},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5280889868736267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.483883261680603},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.46134454011917114},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3560669720172882},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3403233289718628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24175608158111572}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s00453-021-00816-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00453-021-00816-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00453-021-00816-9.pdf","source":{"id":"https://openalex.org/S89324355","display_name":"Algorithmica","issn_l":"0178-4617","issn":["0178-4617","1432-0541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithmica","raw_type":"journal-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:150066","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:jupiter.its.unimelb.edu.au:11343/274029","is_oa":true,"landing_page_url":"http://hdl.handle.net/11343/274029","pdf_url":"http://hdl.handle.net/11343/274029","source":{"id":"https://openalex.org/S4377196259","display_name":"Minerva Access (University of Melbourne)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165779595","host_organization_name":"The University of Melbourne","host_organization_lineage":["https://openalex.org/I165779595"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"32nd International Conference on Machine Learning (ICML)","raw_type":"Journal Article"},{"id":"pmh:oai:scholarworks.umass.edu:20.500.14394/9766","is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.14394/9766","pdf_url":null,"source":{"id":"https://openalex.org/S4306402057","display_name":"Scholarworks (University of Massachusetts Amherst)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I24603500","host_organization_name":"University of Massachusetts Amherst","host_organization_lineage":["https://openalex.org/I24603500"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"published","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1007/s00453-021-00816-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00453-021-00816-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00453-021-00816-9.pdf","source":{"id":"https://openalex.org/S89324355","display_name":"Algorithmica","issn_l":"0178-4617","issn":["0178-4617","1432-0541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithmica","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G247257771","display_name":null,"funder_award_id":"CCF-1637536","funder_id":"https://openalex.org/F4320337387","funder_display_name":"Division of Computing and Communication Foundations"},{"id":"https://openalex.org/G2993029871","display_name":"AF: Small: Collaborative Research: New Challenges in Graph Stream Algorithms and Related Communication Games","funder_award_id":"1908849","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3109196640","display_name":"HDR TRIPODS: Institute for Integrated Data Science: A Transdisciplinary Approach to Understanding Fundamental Trade-offs and Theoretical Foundations","funder_award_id":"1934846","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3760249836","display_name":null,"funder_award_id":"ERC-2014-CoG 647557","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"},{"id":"https://openalex.org/G4048610139","display_name":null,"funder_award_id":"CCF-1546141","funder_id":"https://openalex.org/F4320337387","funder_display_name":"Division of Computing and Communication Foundations"},{"id":"https://openalex.org/G5072440532","display_name":"Next-generation techniques for analysing massive data sets","funder_award_id":"FT120100307","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G5180860367","display_name":null,"funder_award_id":"CCF-1637536","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7965105213","display_name":null,"funder_award_id":"CCF-1934846","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8050074586","display_name":"AitF: Efficient Memory Management via Randomized, Streaming, and Online Algorithms","funder_award_id":"1637536","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"},{"id":"https://openalex.org/F4320337387","display_name":"Division of Computing and Communication Foundations","ror":"https://ror.org/01mng8331"},{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1836916015.pdf","grobid_xml":"https://content.openalex.org/works/W1836916015.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W927681281","https://openalex.org/W1496255159","https://openalex.org/W1521874150","https://openalex.org/W1592346261","https://openalex.org/W1601503375","https://openalex.org/W1749432580","https://openalex.org/W1795239726","https://openalex.org/W1967311985","https://openalex.org/W1980223785","https://openalex.org/W1980389212","https://openalex.org/W1985875030","https://openalex.org/W1988153470","https://openalex.org/W1995547833","https://openalex.org/W1997010704","https://openalex.org/W1998272044","https://openalex.org/W2015480586","https://openalex.org/W2016289973","https://openalex.org/W2016973429","https://openalex.org/W2017732166","https://openalex.org/W2025622191","https://openalex.org/W2027214648","https://openalex.org/W2035836267","https://openalex.org/W2048044409","https://openalex.org/W2050961553","https://openalex.org/W2051540665","https://openalex.org/W2058851495","https://openalex.org/W2088340225","https://openalex.org/W2091684877","https://openalex.org/W2091858563","https://openalex.org/W2100369465","https://openalex.org/W2106675345","https://openalex.org/W2107223449","https://openalex.org/W2107600509","https://openalex.org/W2108991785","https://openalex.org/W2117319425","https://openalex.org/W2127468194","https://openalex.org/W2141985162","https://openalex.org/W2146081992","https://openalex.org/W2146420558","https://openalex.org/W2148524305","https://openalex.org/W2150865801","https://openalex.org/W2153968170","https://openalex.org/W2156499390","https://openalex.org/W2165432920","https://openalex.org/W2165753192","https://openalex.org/W2261544779","https://openalex.org/W2295256067","https://openalex.org/W2502264282","https://openalex.org/W2914959486","https://openalex.org/W3036999547","https://openalex.org/W3146259567","https://openalex.org/W4214495955","https://openalex.org/W4230889046","https://openalex.org/W4254355229","https://openalex.org/W4256114457","https://openalex.org/W6605034069"],"related_works":["https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W4245490552","https://openalex.org/W4225152035","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W1587224694","https://openalex.org/W2911598644","https://openalex.org/W2042127053"],"abstract_inverted_index":{"Abstract":[0],"Clustering":[1],"is":[2,82],"a":[3,74,85,154],"fundamental":[4],"tool":[5],"for":[6,23,135,214],"analyzing":[7],"large":[8],"data":[9,61,143,164],"sets.":[10],"A":[11],"rich":[12],"body":[13],"of":[14,55,67,73,91,102,153,227],"work":[15,210],"has":[16],"been":[17],"devoted":[18],"to":[19,40,69,83,157,172,223],"designing":[20],"data-stream":[21],"algorithms":[22,38,134,213],"the":[24,53,59,70,80,89,100,108,151,174,179,215,225,228],"relevant":[25,175],"optimization":[26],"problems":[27,137],"such":[28,87],"as":[29,219,221],"k":[30,32,35],"-center,":[31],"-median,":[33],"and":[34,44,45,79,169,182],"-means.":[36],"Such":[37],"need":[39],"be":[41,158],"both":[42],"time":[43],"space":[46],"efficient.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51],"address":[52],"problem":[54],"correlation":[56],"clustering":[57],"in":[58,96,107,189],"dynamic":[60],"stream":[62,65],"model.":[63],"The":[64],"consists":[66],"updates":[68],"edge":[71],"weights":[72],"graph":[75],"on":[76,146],"n":[77],"nodes":[78],"goal":[81],"find":[84],"node-partition":[86,156],"that":[88,138,149],"end-points":[90,101],"negative-weight":[92],"edges":[93,104],"are":[94,105,185],"typically":[95,106],"different":[97],"clusters":[98],"whereas":[99],"positive-weight":[103],"same":[109],"cluster.":[110],"We":[111,140,160],"present":[112],"polynomial-time,":[113],"$$O(n\\cdot":[114,190],"{{\\,\\mathrm{polylog}\\,}}n)$$":[115,191],"<mml:math":[116,192],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[117,193],"<mml:mrow>":[118,123,194,199],"<mml:mi>O</mml:mi>":[119,195],"<mml:mo>(</mml:mo>":[120,196],"<mml:mi>n</mml:mi>":[121,128,197,204],"<mml:mo>\u00b7</mml:mo>":[122,198],"<mml:mspace/>":[124,126,200,202],"<mml:mi>polylog</mml:mi>":[125,201],"</mml:mrow>":[127,130,203,206],"<mml:mo>)</mml:mo>":[129,205],"</mml:math>":[131,207],"-space":[132],"approximation":[133,176],"natural":[136],"arise.":[139],"first":[141],"develop":[142],"structures":[144,165],"based":[145],"linear":[147],"sketches":[148],"allow":[150],"\u201cquality\u201d":[152],"given":[155],"measured.":[159],"then":[161],"combine":[162],"these":[163],"with":[166],"convex":[167,216],"programming":[168,217],"sampling":[170],"techniques":[171],"solve":[173],"problem.":[177],"Unfortunately,":[178],"standard":[180],"LP":[181],"SDP":[183],"formulations":[184],"not":[186],"obviously":[187],"solvable":[188],"-space.":[208],"Our":[209],"presents":[211],"space-efficient":[212],"required,":[218],"well":[220],"approaches":[222],"reduce":[224],"adaptivity":[226],"sampling.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":7}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}