{"id":"https://openalex.org/W4391103186","doi":"https://doi.org/10.1007/s44163-024-00102-x","title":"Clustering graph data: the roadmap to spectral techniques","display_name":"Clustering graph data: the roadmap to spectral techniques","publication_year":2024,"publication_date":"2024-01-22","ids":{"openalex":"https://openalex.org/W4391103186","doi":"https://doi.org/10.1007/s44163-024-00102-x"},"language":"en","primary_location":{"id":"doi:10.1007/s44163-024-00102-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-024-00102-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-024-00102-x.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["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":"Discover Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44163-024-00102-x.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062902619","display_name":"Rahul Mondal","orcid":"https://orcid.org/0000-0001-7673-9811"},"institutions":[{"id":"https://openalex.org/I4210106192","display_name":"Technische Hochschule Ingolstadt","ror":"https://ror.org/02bxzcy64","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210106192"]},{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke University Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Rahul Mondal","raw_affiliation_strings":["Faculty of Computer Science, Otto-von-Guericke-University, Universit\u00e4tsplatz 2, 39106, Magdeburg, Saxony-Anhalt, Germany","Faculty of Computer Science, Technische Hochschule Ingolstadt, Esplanade 10, 85049, Ingolstadt, Bavaria, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Otto-von-Guericke-University, Universit\u00e4tsplatz 2, 39106, Magdeburg, Saxony-Anhalt, Germany","institution_ids":["https://openalex.org/I95793202"]},{"raw_affiliation_string":"Faculty of Computer Science, Technische Hochschule Ingolstadt, Esplanade 10, 85049, Ingolstadt, Bavaria, Germany","institution_ids":["https://openalex.org/I4210106192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022704657","display_name":"Evelina Ignatova","orcid":null},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke University Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Evelina Ignatova","raw_affiliation_strings":["Faculty of Computer Science, Otto-von-Guericke-University, Universit\u00e4tsplatz 2, 39106, Magdeburg, Saxony-Anhalt, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Otto-von-Guericke-University, Universit\u00e4tsplatz 2, 39106, Magdeburg, Saxony-Anhalt, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056534007","display_name":"Daniel Walke","orcid":"https://orcid.org/0000-0001-5094-3566"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke University Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Walke","raw_affiliation_strings":["Faculty of Computer Science, Otto-von-Guericke-University, Universit\u00e4tsplatz 2, 39106, Magdeburg, Saxony-Anhalt, Germany","Faculty of Process and Systems Engineering, Otto-von-Guericke-University, Universit\u00e4tsplatz 2, 39106, Magdeburg, Saxony-Anhalt, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Otto-von-Guericke-University, Universit\u00e4tsplatz 2, 39106, Magdeburg, Saxony-Anhalt, Germany","institution_ids":["https://openalex.org/I95793202"]},{"raw_affiliation_string":"Faculty of Process and Systems Engineering, Otto-von-Guericke-University, Universit\u00e4tsplatz 2, 39106, Magdeburg, Saxony-Anhalt, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061367729","display_name":"David Broneske","orcid":"https://orcid.org/0000-0002-9580-740X"},"institutions":[{"id":"https://openalex.org/I4210111137","display_name":"German Centre for Higher Education Research and Science Studies","ror":"https://ror.org/01n8j6z65","country_code":"DE","type":"government","lineage":["https://openalex.org/I4210111137"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"David Broneske","raw_affiliation_strings":["German Center for Higher Education Research and Science Studies (DZHW), Lange Laube 12, 30159, Hannover, Lower Saxony, Germany"],"affiliations":[{"raw_affiliation_string":"German Center for Higher Education Research and Science Studies (DZHW), Lange Laube 12, 30159, Hannover, Lower Saxony, Germany","institution_ids":["https://openalex.org/I4210111137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042946019","display_name":"Gunter Saake","orcid":"https://orcid.org/0000-0001-9576-8474"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke University Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gunter Saake","raw_affiliation_strings":["Faculty of Computer Science, Otto-von-Guericke-University, Universit\u00e4tsplatz 2, 39106, Magdeburg, Saxony-Anhalt, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Otto-von-Guericke-University, Universit\u00e4tsplatz 2, 39106, Magdeburg, Saxony-Anhalt, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054797839","display_name":"Robert Heyer","orcid":null},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]},{"id":"https://openalex.org/I4210121365","display_name":"Leibniz Institute for Analytical Sciences - ISAS","ror":"https://ror.org/02jhqqg57","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I4210121365"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robert Heyer","raw_affiliation_strings":["Faculty of Technology, Bielefeld University, Universit\u00e4tsstra\u00dfe 25, 33615, Bielefeld, North Rhine-Westphalia, Germany","Multidimensional Omics Analyses Group, Leibniz-Institut f\u00fcr Analytische Wissenschaften \u2013 ISAS \u2013 e.V., Bunsen-Kirchhoff-Stra\u00dfe 11, 44139, Dortmund, North Rhine-Westphalia, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Technology, Bielefeld University, Universit\u00e4tsstra\u00dfe 25, 33615, Bielefeld, North Rhine-Westphalia, Germany","institution_ids":["https://openalex.org/I20121455"]},{"raw_affiliation_string":"Multidimensional Omics Analyses Group, Leibniz-Institut f\u00fcr Analytische Wissenschaften \u2013 ISAS \u2013 e.V., Bunsen-Kirchhoff-Stra\u00dfe 11, 44139, Dortmund, North Rhine-Westphalia, Germany","institution_ids":["https://openalex.org/I4210121365"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5062902619"],"corresponding_institution_ids":["https://openalex.org/I4210106192","https://openalex.org/I95793202"],"apc_list":{"value":990,"currency":"EUR","value_usd":1067},"apc_paid":{"value":990,"currency":"EUR","value_usd":1067},"fwci":3.6113,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.93830777,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"4","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9980999827384949,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8171650171279907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.733089029788971},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6078311800956726},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.5944020748138428},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5574336051940918},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4997427463531494},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.46238699555397034},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.44014376401901245},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.43715089559555054},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.425296813249588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38627952337265015},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3552858829498291},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07121074199676514}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8171650171279907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.733089029788971},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6078311800956726},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.5944020748138428},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5574336051940918},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4997427463531494},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.46238699555397034},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.44014376401901245},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.43715089559555054},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.425296813249588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38627952337265015},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3552858829498291},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07121074199676514}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44163-024-00102-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-024-00102-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-024-00102-x.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["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":"Discover Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:22506a718764482eba74d159e0704eea","is_oa":true,"landing_page_url":"https://doaj.org/article/22506a718764482eba74d159e0704eea","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-22 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44163-024-00102-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-024-00102-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-024-00102-x.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["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":"Discover Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G287264811","display_name":null,"funder_award_id":"HE 8077/2-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6052429835","display_name":null,"funder_award_id":"(DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8523641398","display_name":null,"funder_award_id":"SA 465/53-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320335829","display_name":"Otto von Guericke University Magdeburg","ror":"https://ror.org/00ggpsq73"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391103186.pdf"},"referenced_works_count":85,"referenced_works":["https://openalex.org/W1091928747","https://openalex.org/W1511484508","https://openalex.org/W1557410844","https://openalex.org/W1574447377","https://openalex.org/W1586552957","https://openalex.org/W1592861455","https://openalex.org/W1594924988","https://openalex.org/W1660133578","https://openalex.org/W1673310716","https://openalex.org/W1966461475","https://openalex.org/W1970741763","https://openalex.org/W1971421925","https://openalex.org/W1977496278","https://openalex.org/W1981193610","https://openalex.org/W2002276939","https://openalex.org/W2014168697","https://openalex.org/W2016042651","https://openalex.org/W2020391739","https://openalex.org/W2032735940","https://openalex.org/W2033334321","https://openalex.org/W2033852356","https://openalex.org/W2034331023","https://openalex.org/W2034870679","https://openalex.org/W2040840530","https://openalex.org/W2047260621","https://openalex.org/W2049633694","https://openalex.org/W2052478943","https://openalex.org/W2065811242","https://openalex.org/W2078776050","https://openalex.org/W2106192611","https://openalex.org/W2114507260","https://openalex.org/W2120377775","https://openalex.org/W2121947440","https://openalex.org/W2122943553","https://openalex.org/W2125233847","https://openalex.org/W2125531986","https://openalex.org/W2126746199","https://openalex.org/W2132914434","https://openalex.org/W2133576408","https://openalex.org/W2138621090","https://openalex.org/W2144987283","https://openalex.org/W2150516767","https://openalex.org/W2155074104","https://openalex.org/W2155754954","https://openalex.org/W2156718197","https://openalex.org/W2160642098","https://openalex.org/W2160873337","https://openalex.org/W2161455936","https://openalex.org/W2161494102","https://openalex.org/W2161675672","https://openalex.org/W2167262444","https://openalex.org/W2216564370","https://openalex.org/W2233456153","https://openalex.org/W2500563011","https://openalex.org/W2501069295","https://openalex.org/W2791095958","https://openalex.org/W2798305197","https://openalex.org/W2808465901","https://openalex.org/W2869814685","https://openalex.org/W2883509964","https://openalex.org/W2886783363","https://openalex.org/W2895242767","https://openalex.org/W2950244530","https://openalex.org/W2950884311","https://openalex.org/W2951701834","https://openalex.org/W3003753408","https://openalex.org/W3009302866","https://openalex.org/W3021213627","https://openalex.org/W3040282388","https://openalex.org/W3046309832","https://openalex.org/W3048804154","https://openalex.org/W3086526850","https://openalex.org/W3091866490","https://openalex.org/W3105569676","https://openalex.org/W3121769020","https://openalex.org/W3152893301","https://openalex.org/W3195038684","https://openalex.org/W3214063186","https://openalex.org/W4238964348","https://openalex.org/W4241760629","https://openalex.org/W4245824157","https://openalex.org/W4247930955","https://openalex.org/W4281953530","https://openalex.org/W4312258136","https://openalex.org/W4320077275"],"related_works":["https://openalex.org/W2287240295","https://openalex.org/W1979094538","https://openalex.org/W4301002638","https://openalex.org/W2606552659","https://openalex.org/W2111119584","https://openalex.org/W3186815950","https://openalex.org/W3088133960","https://openalex.org/W2997891905","https://openalex.org/W2134448697","https://openalex.org/W2272768744"],"abstract_inverted_index":{"Abstract":[0],"Graph":[1],"data":[2,37,49,55,73,114,118,140],"models":[3,141],"enable":[4],"efficient":[5],"storage,":[6],"visualization,":[7],"and":[8,21,39,46,83,130,142,158],"analysis":[9],"of":[10,18,85,90,97,107,138],"highly":[11,33],"interlinked":[12],"data,":[13,64],"by":[14],"providing":[15],"the":[16,88,95,108,160],"benefits":[17],"horizontal":[19],"scalability":[20],"high":[22],"query":[23],"performance.":[24],"Clustering":[25],"techniques,":[26],"such":[27],"as":[28,57,59],"K-means,":[29],"hierarchical":[30],"clustering,":[31],"are":[32],"beneficial":[34],"tools":[35],"in":[36,53,69,87,111,116,162],"mining":[38],"machine":[40],"learning":[41],"to":[42,94,152],"find":[43],"meaningful":[44],"similarities":[45],"differences":[47],"between":[48],"points.":[50],"Recent":[51],"developments":[52],"graph":[54,63,117,139,143],"models,":[56],"well":[58],"clustering":[60,99,102,128,156],"algorithms":[61,86,103,129,157],"for":[62],"have":[65,104,124],"shown":[66],"promising":[67],"results":[68],"image":[70],"segmentation,":[71],"gene":[72],"analysis,":[74],"etc.":[75],"This":[76],"has":[77],"been":[78,105],"primarily":[79],"achieved":[80],"through":[81],"research":[82],"development":[84],"field":[89],"spectral":[91,98,127],"theory,":[92],"leading":[93],"conception":[96],"algorithms.":[100],"Spectral":[101],"one":[106],"most":[109,154],"effective":[110],"grouping":[112],"similar":[113],"points":[115],"models.":[119,145],"In":[120],"this":[121],"paper,":[122],"we":[123,147],"compiled":[125],"16":[126],"compared":[131],"their":[132],"computational":[133],"complexities,":[134],"after":[135],"an":[136],"overview":[137],"database":[144],"Furthermore,":[146],"provided":[148],"a":[149],"broad":[150],"taxonomy":[151,161],"classify":[153],"existing":[155],"discussed":[159],"detail.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}