{"id":"https://openalex.org/W4409542514","doi":"https://doi.org/10.1140/epjds/s13688-025-00542-0","title":"Assessing the complexity of a path search optimization method based on clustering for a transport graph","display_name":"Assessing the complexity of a path search optimization method based on clustering for a transport graph","publication_year":2025,"publication_date":"2025-04-17","ids":{"openalex":"https://openalex.org/W4409542514","doi":"https://doi.org/10.1140/epjds/s13688-025-00542-0"},"language":"en","primary_location":{"id":"doi:10.1140/epjds/s13688-025-00542-0","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-025-00542-0","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-025-00542-0","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"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":"EPJ Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-025-00542-0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070682144","display_name":"D. L. Fedorov","orcid":"https://orcid.org/0000-0002-3081-0878"},"institutions":[{"id":"https://openalex.org/I4210089467","display_name":"Institute of Physics and Technology","ror":"https://ror.org/005n3yy14","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210089467"]},{"id":"https://openalex.org/I153845743","display_name":"Moscow Institute of Physics and Technology","ror":"https://ror.org/00v0z9322","country_code":"RU","type":"education","lineage":["https://openalex.org/I153845743"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Dmitrii Fedorov","raw_affiliation_strings":["MIPT (Moscow Institute of Physics and Technology), Moscow, Russia","Sber AI Lab, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"MIPT (Moscow Institute of Physics and Technology), Moscow, Russia","institution_ids":["https://openalex.org/I4210089467","https://openalex.org/I153845743"]},{"raw_affiliation_string":"Sber AI Lab, Moscow, Russia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113273605","display_name":"Georgii Kontsevik","orcid":null},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Georgii Kontsevik","raw_affiliation_strings":["ITMO University, St. Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"ITMO University, St. Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103177932","display_name":"Roman Bashirov","orcid":"https://orcid.org/0000-0002-8258-3507"},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Roman Bashirov","raw_affiliation_strings":["ITMO University, St. Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"ITMO University, St. Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038590181","display_name":"Sergey Mityagin","orcid":"https://orcid.org/0000-0001-9877-1687"},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Sergey Mityagin","raw_affiliation_strings":["ITMO University, St. Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"ITMO University, St. Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051222584","display_name":"Liubov Tupikina","orcid":"https://orcid.org/0000-0002-7169-5706"},"institutions":[{"id":"https://openalex.org/I4210089467","display_name":"Institute of Physics and Technology","ror":"https://ror.org/005n3yy14","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210089467"]},{"id":"https://openalex.org/I153845743","display_name":"Moscow Institute of Physics and Technology","ror":"https://ror.org/00v0z9322","country_code":"RU","type":"education","lineage":["https://openalex.org/I153845743"]},{"id":"https://openalex.org/I4210142324","display_name":"CY Cergy Paris Universit\u00e9","ror":"https://ror.org/043htjv09","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142324"]},{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["FR","RU"],"is_corresponding":false,"raw_author_name":"Liubov Tupikina","raw_affiliation_strings":["ITMO University, St. Petersburg, Russia","Learning Planet Institute, Cergy University, Paris, France","MIPT (Moscow Institute of Physics and Technology), Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"ITMO University, St. Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]},{"raw_affiliation_string":"Learning Planet Institute, Cergy University, Paris, France","institution_ids":["https://openalex.org/I4210142324"]},{"raw_affiliation_string":"MIPT (Moscow Institute of Physics and Technology), Moscow, Russia","institution_ids":["https://openalex.org/I4210089467","https://openalex.org/I153845743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034454424","display_name":"Nikita Zakharenko","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nikita Zakharenko","raw_affiliation_strings":["Sber AI Lab, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Sber AI Lab, Moscow, Russia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009958025","display_name":"Semen Budennyy","orcid":"https://orcid.org/0000-0001-6916-2030"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Semen Budennyy","raw_affiliation_strings":["Artificial Intelligence Research Institute (AIRI), Moscow, Russia","Sber AI, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Institute (AIRI), Moscow, Russia","institution_ids":[]},{"raw_affiliation_string":"Sber AI, Moscow, Russia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5070682144"],"corresponding_institution_ids":["https://openalex.org/I153845743","https://openalex.org/I4210089467"],"apc_list":{"value":1190,"currency":"GBP","value_usd":1459},"apc_paid":{"value":1190,"currency":"GBP","value_usd":1459},"fwci":4.4822,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.93911201,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"14","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9990000128746033,"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":0.9990000128746033,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9914000034332275,"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":0.9812999963760376,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.647240161895752},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5928710103034973},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5715867877006531},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5325034856796265},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.4716220200061798},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.46819671988487244},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3989883065223694},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.368395060300827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31496015191078186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29385489225387573}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.647240161895752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5928710103034973},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5715867877006531},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5325034856796265},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.4716220200061798},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46819671988487244},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3989883065223694},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.368395060300827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31496015191078186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29385489225387573},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1140/epjds/s13688-025-00542-0","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-025-00542-0","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-025-00542-0","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"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":"EPJ Data Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:dd8030840dcd43f2837d525497e729e7","is_oa":true,"landing_page_url":"https://doaj.org/article/dd8030840dcd43f2837d525497e729e7","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":"EPJ Data Science, Vol 14, Iss 1, Pp 1-18 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1140/epjds/s13688-025-00542-0","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-025-00542-0","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-025-00542-0","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"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":"EPJ Data Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409542514.pdf","grobid_xml":"https://content.openalex.org/works/W4409542514.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1172612319","https://openalex.org/W1493214567","https://openalex.org/W1513064423","https://openalex.org/W1528485123","https://openalex.org/W1904636577","https://openalex.org/W1910515323","https://openalex.org/W1968895412","https://openalex.org/W1971421925","https://openalex.org/W1977340584","https://openalex.org/W1994924587","https://openalex.org/W2006097619","https://openalex.org/W2018480107","https://openalex.org/W2091635795","https://openalex.org/W2100132188","https://openalex.org/W2131681506","https://openalex.org/W2138589386","https://openalex.org/W2143083884","https://openalex.org/W2148831787","https://openalex.org/W2150418461","https://openalex.org/W2591744545","https://openalex.org/W2740673215","https://openalex.org/W2951666299","https://openalex.org/W2963250368","https://openalex.org/W2998284004","https://openalex.org/W3037085755","https://openalex.org/W3041685368","https://openalex.org/W3099768174","https://openalex.org/W3124343167","https://openalex.org/W3193924778","https://openalex.org/W4324378623","https://openalex.org/W4380878259","https://openalex.org/W4380996184","https://openalex.org/W4390280208"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W4298130764"],"abstract_inverted_index":{"Abstract":[0],"Finding":[1],"the":[2,25,46,74,111],"shortest":[3],"path":[4],"between":[5],"two":[6],"vertices":[7],"in":[8,13,30],"a":[9,41,52,107],"graph":[10],"is":[11,36],"essential":[12],"various":[14],"applications,":[15],"including":[16,90],"logistics,":[17],"social":[18],"networks,":[19],"citation":[20],"graphs,":[21,32,50],"and":[22,58,77,97,114],"others.":[23],"Given":[24],"need":[26],"for":[27],"repeated":[28],"pathfinding":[29],"large":[31],"accelerating":[33],"this":[34],"process":[35],"crucial.":[37],"This":[38,104],"article":[39,105],"introduces":[40],"novel":[42],"method":[43,113],"that":[44],"leverages":[45],"inherent":[47],"clustering":[48],"of":[49,55,92,110],"enabling":[51],"quick":[53],"elimination":[54],"suboptimal":[56],"routes":[57],"significantly":[59],"enhancing":[60],"efficiency":[61],"with":[62],"minimal":[63],"accuracy":[64],"losses.":[65],"Our":[66],"approach":[67],"builds":[68],"upon":[69],"traditional":[70],"algorithms,":[71],"such":[72],"as":[73],"bidirectional":[75],"Dijkstra,":[76],"explores":[78],"hierarchical":[79],"techniques.":[80],"Extensive":[81],"testing":[82],"on":[83],"over":[84],"750":[85],"real-world":[86],"city":[87],"graphs":[88],"\u2013":[89,100],"those":[91],"Beijing,":[93],"Moscow,":[94],"Paris,":[95],"Barcelona,":[96],"New":[98],"York":[99],"demonstrates":[101],"its":[102,115],"effectiveness.":[103],"provides":[106],"comprehensive":[108],"overview":[109],"proposed":[112],"performance":[116],"statistics.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
