{"id":"https://openalex.org/W4412426018","doi":"https://doi.org/10.1007/s41109-025-00695-x","title":"Community detection on simplicial complexes","display_name":"Community detection on simplicial complexes","publication_year":2025,"publication_date":"2025-07-15","ids":{"openalex":"https://openalex.org/W4412426018","doi":"https://doi.org/10.1007/s41109-025-00695-x"},"language":"en","primary_location":{"id":"doi:10.1007/s41109-025-00695-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-025-00695-x","pdf_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-025-00695-x","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-025-00695-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5118989284","display_name":"Ermolaev Egor","orcid":null},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Ermolaev Egor","raw_affiliation_strings":["Department of Computer Science, HSE University, 20 Myasnitskaya Str., Moscow, Russia, 101000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, HSE University, 20 Myasnitskaya Str., Moscow, Russia, 101000","institution_ids":["https://openalex.org/I118501908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5118989284"],"corresponding_institution_ids":["https://openalex.org/I118501908"],"apc_list":{"value":790,"currency":"GBP","value_usd":969},"apc_paid":{"value":790,"currency":"GBP","value_usd":969},"fwci":3.3719,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92251476,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"10","issue":"1","first_page":null,"last_page":null},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9652000069618225,"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/simplicial-complex","display_name":"Simplicial complex","score":0.4367292523384094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3424207866191864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2896025776863098},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.197757750749588}],"concepts":[{"id":"https://openalex.org/C187929450","wikidata":"https://www.wikidata.org/wiki/Q994399","display_name":"Simplicial complex","level":2,"score":0.4367292523384094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3424207866191864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2896025776863098},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.197757750749588}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41109-025-00695-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-025-00695-x","pdf_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-025-00695-x","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:afb8b837436442d1be188621ed1542ac","is_oa":true,"landing_page_url":"https://doaj.org/article/afb8b837436442d1be188621ed1542ac","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Network Science, Vol 10, Iss 1, Pp 1-18 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41109-025-00695-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-025-00695-x","pdf_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-025-00695-x","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412426018.pdf","grobid_xml":"https://content.openalex.org/works/W4412426018.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1915374658","https://openalex.org/W1970301364","https://openalex.org/W2017360110","https://openalex.org/W2020519533","https://openalex.org/W2025796118","https://openalex.org/W2026940923","https://openalex.org/W2033403400","https://openalex.org/W2047013860","https://openalex.org/W2047940964","https://openalex.org/W2076165434","https://openalex.org/W2094234423","https://openalex.org/W2127048411","https://openalex.org/W2131681506","https://openalex.org/W2139679196","https://openalex.org/W2143502460","https://openalex.org/W2151936673","https://openalex.org/W2162630660","https://openalex.org/W2164998314","https://openalex.org/W2217748804","https://openalex.org/W2248896003","https://openalex.org/W2294347342","https://openalex.org/W2624647128","https://openalex.org/W2793868694","https://openalex.org/W2897249806","https://openalex.org/W2924173387","https://openalex.org/W2962849396","https://openalex.org/W2963183404","https://openalex.org/W3047076447","https://openalex.org/W3099768174","https://openalex.org/W3101413764","https://openalex.org/W3102641634","https://openalex.org/W3103496808","https://openalex.org/W3106188259","https://openalex.org/W3195683952","https://openalex.org/W4233690291","https://openalex.org/W4387309424","https://openalex.org/W4387623751","https://openalex.org/W4388766831","https://openalex.org/W4393344874","https://openalex.org/W4394862701"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,17,69,90,120],"complex":[3],"systems":[4],"have":[5],"highlighted":[6],"the":[7,30,46,96,101],"utility":[8],"of":[9,29],"simplicial":[10,121],"complexes":[11],"for":[12,95,117,125],"modeling":[13],"higher-order":[14,77],"interactions,":[15],"particularly":[16],"biological":[18],"and":[19,49],"physical":[20],"networks.":[21],"This":[22],"study":[23],"presents":[24],"enhanced":[25,42,63,110],"Simplex2Vec,":[26],"an":[27],"adaptation":[28],"Simplex2Vec":[31,64],"algorithm,":[32],"to":[33],"facilitate":[34],"community":[35,72,81,118],"detection":[36,119],"within":[37],"such":[38],"structures.":[39],"We":[40],"compare":[41],"Simplex2Vec\u2019s":[43,111],"efficacy":[44],"against":[45],"Leiden":[47],"algorithm":[48],"Spectral":[50],"clustering":[51],"using":[52],"7":[53],"distinct":[54],"datasets":[55],"with":[56,123],"different":[57],"structure.":[58],"Our":[59],"results":[60],"indicate":[61],"that":[62],"generally":[65],"outperforms":[66],"other":[67],"methods":[68],"detecting":[70],"nuanced":[71],"structures,":[73],"i.e":[74],"subnetworks":[75],"where":[76,100],"simplices":[78],"significantly":[79],"shape":[80],"boundaries":[82],"rather":[83],"than":[84],"just":[85],"dense":[86],"pairwise":[87],"links,":[88],"except":[89],"Normalized":[91],"Mutual":[92],"Information":[93],"(NMI)":[94],"Karate":[97],"Club":[98],"graph,":[99],"Louvain":[102],"method":[103],"shows":[104],"superior":[105],"performance.":[106],"These":[107],"findings":[108],"suggest":[109],"potential":[112],"as":[113],"a":[114],"robust":[115],"tool":[116],"complexes,":[122],"implications":[124],"various":[126],"scientific":[127],"domains.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}