{"id":"https://openalex.org/W7130343024","doi":"https://doi.org/10.1007/s00500-025-10734-5","title":"Effective resistance and kernel-based graph sparsification for community detection in complex networks","display_name":"Effective resistance and kernel-based graph sparsification for community detection in complex networks","publication_year":2026,"publication_date":"2026-02-18","ids":{"openalex":"https://openalex.org/W7130343024","doi":"https://doi.org/10.1007/s00500-025-10734-5"},"language":"en","primary_location":{"id":"doi:10.1007/s00500-025-10734-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-025-10734-5","pdf_url":null,"source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"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":"Soft Computing","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/A5037054850","display_name":"Annalisa Socievole","orcid":"https://orcid.org/0000-0001-5420-9959"},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Annalisa Socievole","raw_affiliation_strings":["Institute for High Performance Computing and Networking (ICAR), National Research Council of Italy (CNR), Via Pietro Bucci, 8-9C, Rende (CS), 87036, Italy"],"raw_orcid":"https://orcid.org/0000-0001-5420-9959","affiliations":[{"raw_affiliation_string":"Institute for High Performance Computing and Networking (ICAR), National Research Council of Italy (CNR), Via Pietro Bucci, 8-9C, Rende (CS), 87036, Italy","institution_ids":["https://openalex.org/I3005160176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126302041","display_name":"Clara Pizzuti","orcid":null},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Clara Pizzuti","raw_affiliation_strings":["Institute for High Performance Computing and Networking (ICAR), National Research Council of Italy (CNR), Via Pietro Bucci, 8-9C, Rende (CS), 87036, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for High Performance Computing and Networking (ICAR), National Research Council of Italy (CNR), Via Pietro Bucci, 8-9C, Rende (CS), 87036, Italy","institution_ids":["https://openalex.org/I3005160176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037054850"],"corresponding_institution_ids":["https://openalex.org/I3005160176"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38140021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":"3","first_page":"2109","last_page":"2133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.7462999820709229,"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":0.7462999820709229,"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":0.21369999647140503,"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/T11476","display_name":"Graph theory and applications","score":0.005200000014156103,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5185999870300293},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.4666000008583069},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4406000077724457},{"id":"https://openalex.org/keywords/clique-percolation-method","display_name":"Clique percolation method","score":0.4302999973297119},{"id":"https://openalex.org/keywords/resistance-distance","display_name":"Resistance distance","score":0.429500013589859},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.42640000581741333},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.4066999852657318},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.39730000495910645},{"id":"https://openalex.org/keywords/modularity","display_name":"Modularity (biology)","score":0.39430001378059387},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.3847000002861023}],"concepts":[{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5185999870300293},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4666000008583069},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4431999921798706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4413999915122986},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4406000077724457},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4350000023841858},{"id":"https://openalex.org/C128243737","wikidata":"https://www.wikidata.org/wiki/Q5134414","display_name":"Clique percolation method","level":3,"score":0.4302999973297119},{"id":"https://openalex.org/C612898","wikidata":"https://www.wikidata.org/wiki/Q7315618","display_name":"Resistance distance","level":5,"score":0.429500013589859},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.42640000581741333},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.4066999852657318},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.39730000495910645},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.39430001378059387},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.3847000002861023},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3788999915122986},{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.3783000111579895},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.33160001039505005},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31949999928474426},{"id":"https://openalex.org/C17758045","wikidata":"https://www.wikidata.org/wiki/Q2642629","display_name":"Multigraph","level":3,"score":0.314300000667572},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C76444178","wikidata":"https://www.wikidata.org/wiki/Q72897900","display_name":"Connectivity","level":3,"score":0.30160000920295715},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.3010999858379364},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.28679999709129333},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.2863999903202057},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.2770000100135803},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2578999996185303},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C100595998","wikidata":"https://www.wikidata.org/wiki/Q11731931","display_name":"Graph kernel","level":5,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00500-025-10734-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-025-10734-5","pdf_url":null,"source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"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":"Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1703742514","https://openalex.org/W1781665229","https://openalex.org/W1971421925","https://openalex.org/W1983193888","https://openalex.org/W2019040312","https://openalex.org/W2023655578","https://openalex.org/W2023989278","https://openalex.org/W2044445294","https://openalex.org/W2048572907","https://openalex.org/W2051540665","https://openalex.org/W2097278341","https://openalex.org/W2125664420","https://openalex.org/W2131681506","https://openalex.org/W2149055390","https://openalex.org/W2155074104","https://openalex.org/W2164998314","https://openalex.org/W2167064216","https://openalex.org/W2217748804","https://openalex.org/W2511615203","https://openalex.org/W2581780941","https://openalex.org/W2752915819","https://openalex.org/W2755628595","https://openalex.org/W2766057476","https://openalex.org/W2788952779","https://openalex.org/W2799236316","https://openalex.org/W2809496407","https://openalex.org/W2907492528","https://openalex.org/W2938329888","https://openalex.org/W2951681101","https://openalex.org/W2958055396","https://openalex.org/W2966502719","https://openalex.org/W2991645369","https://openalex.org/W2999384316","https://openalex.org/W3152893301","https://openalex.org/W3206174902","https://openalex.org/W3208618949","https://openalex.org/W3213250931","https://openalex.org/W4247782380","https://openalex.org/W4284680535","https://openalex.org/W4309600425","https://openalex.org/W4312386673","https://openalex.org/W4320154642","https://openalex.org/W4385695992","https://openalex.org/W4387913052","https://openalex.org/W4404421467","https://openalex.org/W4405921823","https://openalex.org/W4406141864"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-03-17T06:59:57.516163","created_date":"2026-02-19T00:00:00"}