{"id":"https://openalex.org/W2954534828","doi":"https://doi.org/10.1007/s00180-019-00909-8","title":"Spectral clustering-based community detection using graph distance and node attributes","display_name":"Spectral clustering-based community detection using graph distance and node attributes","publication_year":2019,"publication_date":"2019-07-02","ids":{"openalex":"https://openalex.org/W2954534828","doi":"https://doi.org/10.1007/s00180-019-00909-8","mag":"2954534828"},"language":"en","primary_location":{"id":"doi:10.1007/s00180-019-00909-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-019-00909-8","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-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/A5034142221","display_name":"Fengqin Tang","orcid":"https://orcid.org/0000-0001-7234-1419"},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fengqin Tang","raw_affiliation_strings":["School of Mathematics Sciences, Huaibei Normal University, Huaibei, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics Sciences, Huaibei Normal University, Huaibei, China","institution_ids":["https://openalex.org/I165859042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023846529","display_name":"Chunning Wang","orcid":"https://orcid.org/0009-0005-6812-475X"},"institutions":[{"id":"https://openalex.org/I4210152533","display_name":"Lanzhou University of Finance and Economics","ror":"https://ror.org/04v7yv031","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152533"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunning Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Lanzhou University, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Lanzhou University, Lanzhou, China","institution_ids":["https://openalex.org/I4210152533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045361404","display_name":"Jinxia Su","orcid":"https://orcid.org/0000-0002-2338-4786"},"institutions":[{"id":"https://openalex.org/I4210152533","display_name":"Lanzhou University of Finance and Economics","ror":"https://ror.org/04v7yv031","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152533"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxia Su","raw_affiliation_strings":["School of Mathematics and Statistics, Lanzhou University, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Lanzhou University, Lanzhou, China","institution_ids":["https://openalex.org/I4210152533"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100423130","display_name":"Yuanyuan Wang","orcid":"https://orcid.org/0000-0001-8181-3465"},"institutions":[{"id":"https://openalex.org/I4210152533","display_name":"Lanzhou University of Finance and Economics","ror":"https://ror.org/04v7yv031","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152533"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Lanzhou University, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Lanzhou University, Lanzhou, China","institution_ids":["https://openalex.org/I4210152533"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023846529","https://openalex.org/A5034142221"],"corresponding_institution_ids":["https://openalex.org/I165859042","https://openalex.org/I4210152533"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":null,"fwci":1.0285,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.76142541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"35","issue":"1","first_page":"69","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9843000173568726,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9688000082969666,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.7066649198532104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7020301818847656},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6798580288887024},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6535500288009644},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6397615671157837},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5824571847915649},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.554722785949707},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.5504858493804932},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.5185359120368958},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.47943633794784546},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4733811914920807},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44351521134376526},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32375019788742065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29059815406799316},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24622857570648193}],"concepts":[{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.7066649198532104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7020301818847656},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6798580288887024},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6535500288009644},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6397615671157837},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5824571847915649},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.554722785949707},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.5504858493804932},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.5185359120368958},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.47943633794784546},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4733811914920807},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44351521134376526},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32375019788742065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29059815406799316},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24622857570648193},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1007/s00180-019-00909-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-019-00909-8","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/418673","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/418673","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/437347","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/437347","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"},{"id":"pmh:oai:RePEc:spr:compst:v:35:y:2020:i:1:d:10.1007_s00180-019-00909-8","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s00180-019-00909-8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/371125","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/371125","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/430540","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/430540","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6973599550","display_name":null,"funder_award_id":"11301236","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323537","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1424846356","https://openalex.org/W1710085869","https://openalex.org/W1789701990","https://openalex.org/W1930572491","https://openalex.org/W1947595544","https://openalex.org/W1967184357","https://openalex.org/W1967863365","https://openalex.org/W1998871699","https://openalex.org/W2002276939","https://openalex.org/W2007572995","https://openalex.org/W2012913502","https://openalex.org/W2012921801","https://openalex.org/W2018312367","https://openalex.org/W2019144999","https://openalex.org/W2032005951","https://openalex.org/W2032177924","https://openalex.org/W2042439821","https://openalex.org/W2047109555","https://openalex.org/W2054323527","https://openalex.org/W2066459332","https://openalex.org/W2095293504","https://openalex.org/W2096091969","https://openalex.org/W2102158416","https://openalex.org/W2102907934","https://openalex.org/W2110952388","https://openalex.org/W2111315907","https://openalex.org/W2119689447","https://openalex.org/W2119998616","https://openalex.org/W2121947440","https://openalex.org/W2124536061","https://openalex.org/W2127048411","https://openalex.org/W2132914434","https://openalex.org/W2139818818","https://openalex.org/W2149587453","https://openalex.org/W2151930362","https://openalex.org/W2151936673","https://openalex.org/W2155461593","https://openalex.org/W2165515835","https://openalex.org/W2169379894","https://openalex.org/W2169499007","https://openalex.org/W2432978112","https://openalex.org/W2476779615","https://openalex.org/W2963103132","https://openalex.org/W2963111412","https://openalex.org/W2963847248","https://openalex.org/W3101538682","https://openalex.org/W3102641634","https://openalex.org/W3102647957","https://openalex.org/W3104227803","https://openalex.org/W6611204598"],"related_works":["https://openalex.org/W1457719682","https://openalex.org/W4312820490","https://openalex.org/W2375370983","https://openalex.org/W2369557298","https://openalex.org/W2545232906","https://openalex.org/W2011212036","https://openalex.org/W3044685708","https://openalex.org/W2065131986","https://openalex.org/W1545294102","https://openalex.org/W2611846802"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
