{"id":"https://openalex.org/W4408923987","doi":"https://doi.org/10.3390/fi17040150","title":"GraphDBSCAN: Optimized DBSCAN for Noise-Resistant Community Detection in Graph Clustering","display_name":"GraphDBSCAN: Optimized DBSCAN for Noise-Resistant Community Detection in Graph Clustering","publication_year":2025,"publication_date":"2025-03-28","ids":{"openalex":"https://openalex.org/W4408923987","doi":"https://doi.org/10.3390/fi17040150"},"language":"en","primary_location":{"id":"doi:10.3390/fi17040150","is_oa":true,"landing_page_url":"https://doi.org/10.3390/fi17040150","pdf_url":null,"source":{"id":"https://openalex.org/S34838331","display_name":"Future Internet","issn_l":"1999-5903","issn":["1999-5903"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Future Internet","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/fi17040150","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055375925","display_name":"Danial Ahmadzadeh","orcid":null},"institutions":[{"id":"https://openalex.org/I110525433","display_name":"Islamic Azad University, Tehran","ror":"https://ror.org/01kzn7k21","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433"]},{"id":"https://openalex.org/I1312987727","display_name":"University of Neyshabur","ror":"https://ror.org/01x41eb05","country_code":"IR","type":"education","lineage":["https://openalex.org/I1312987727"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Danial Ahmadzadeh","raw_affiliation_strings":["Department of Computer Engineering, Ne.C., Islamic Azad University, Neyshabur 9319975853, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ne.C., Islamic Azad University, Neyshabur 9319975853, Iran","institution_ids":["https://openalex.org/I110525433","https://openalex.org/I1312987727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002207845","display_name":"Mehrdad Jalali","orcid":"https://orcid.org/0000-0003-2465-4933"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]},{"id":"https://openalex.org/I183859904","display_name":"Islamic Azad University, Mashhad","ror":"https://ror.org/00bvysh61","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I183859904"]},{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]},{"id":"https://openalex.org/I4210091948","display_name":"SRH Hochschule Heidelberg","ror":"https://ror.org/00g07sz63","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210091948"]}],"countries":["DE","IR"],"is_corresponding":true,"raw_author_name":"Mehrdad Jalali","raw_affiliation_strings":["Department of Applied Data Science and Artificial Intelligence, SRH University Heidelberg, 69123 Heidelberg, Germany","Department of Computer Engineering, Ma.C., Islamic Azad University, Mashhad 9187147578, Iran","Institute of Functional Interfaces, Karlsruhe Institute of Technology (KIT), Hermann-von Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany"],"raw_orcid":"https://orcid.org/0000-0003-2465-4933","affiliations":[{"raw_affiliation_string":"Department of Applied Data Science and Artificial Intelligence, SRH University Heidelberg, 69123 Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909","https://openalex.org/I4210091948"]},{"raw_affiliation_string":"Department of Computer Engineering, Ma.C., Islamic Azad University, Mashhad 9187147578, Iran","institution_ids":["https://openalex.org/I183859904"]},{"raw_affiliation_string":"Institute of Functional Interfaces, Karlsruhe Institute of Technology (KIT), Hermann-von Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023792523","display_name":"Reza Ghaemi","orcid":"https://orcid.org/0000-0003-2547-4109"},"institutions":[{"id":"https://openalex.org/I4210152523","display_name":"Islamic Azad University Quchan","ror":"https://ror.org/04tc04306","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I4210152523"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Reza Ghaemi","raw_affiliation_strings":["Department of Computer Engineering, Qu.C., Islamic Azad University, Quchan 9479176135, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Qu.C., Islamic Azad University, Quchan 9479176135, Iran","institution_ids":["https://openalex.org/I4210152523"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032684281","display_name":"Maryam Kheirabadi","orcid":"https://orcid.org/0000-0001-8980-4299"},"institutions":[{"id":"https://openalex.org/I110525433","display_name":"Islamic Azad University, Tehran","ror":"https://ror.org/01kzn7k21","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433"]},{"id":"https://openalex.org/I1312987727","display_name":"University of Neyshabur","ror":"https://ror.org/01x41eb05","country_code":"IR","type":"education","lineage":["https://openalex.org/I1312987727"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Maryam Kheirabadi","raw_affiliation_strings":["Department of Computer Engineering, Ne.C., Islamic Azad University, Neyshabur 9319975853, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ne.C., Islamic Azad University, Neyshabur 9319975853, Iran","institution_ids":["https://openalex.org/I110525433","https://openalex.org/I1312987727"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5002207845"],"corresponding_institution_ids":["https://openalex.org/I102335020","https://openalex.org/I183859904","https://openalex.org/I223822909","https://openalex.org/I4210091948"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":2.5428,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88284718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"17","issue":"4","first_page":"150","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9915000200271606,"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":0.9746999740600586,"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/computer-science","display_name":"Computer science","score":0.9098166227340698},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.8273622393608093},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7301194071769714},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5252679586410522},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5247060060501099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4071584641933441},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4062499403953552},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39160609245300293},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21470025181770325},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.17392289638519287},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.1098652184009552}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9098166227340698},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.8273622393608093},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7301194071769714},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5252679586410522},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5247060060501099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4071584641933441},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4062499403953552},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39160609245300293},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21470025181770325},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.17392289638519287},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.1098652184009552},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/fi17040150","is_oa":true,"landing_page_url":"https://doi.org/10.3390/fi17040150","pdf_url":null,"source":{"id":"https://openalex.org/S34838331","display_name":"Future Internet","issn_l":"1999-5903","issn":["1999-5903"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Future Internet","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:gam:jftint:v:17:y:2025:i:4:p:150-:d:1622718","is_oa":false,"landing_page_url":"https://www.mdpi.com/1999-5903/17/4/150/","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:doaj.org/article:5abf7263a7be49258e421c4b902905bd","is_oa":true,"landing_page_url":"https://doaj.org/article/5abf7263a7be49258e421c4b902905bd","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":"Future Internet, Vol 17, Iss 4, p 150 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/fi17040150","is_oa":true,"landing_page_url":"https://doi.org/10.3390/fi17040150","pdf_url":null,"source":{"id":"https://openalex.org/S34838331","display_name":"Future Internet","issn_l":"1999-5903","issn":["1999-5903"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Future Internet","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W1995996823","https://openalex.org/W2047940964","https://openalex.org/W2077575888","https://openalex.org/W2095189226","https://openalex.org/W2126751256","https://openalex.org/W2127048411","https://openalex.org/W2128366083","https://openalex.org/W2180566385","https://openalex.org/W2201557959","https://openalex.org/W2489480532","https://openalex.org/W2734601503","https://openalex.org/W2740924709","https://openalex.org/W2897249806","https://openalex.org/W2941634399","https://openalex.org/W2947956655","https://openalex.org/W2951271819","https://openalex.org/W2969733864","https://openalex.org/W3034909838","https://openalex.org/W3045237327","https://openalex.org/W3090540127","https://openalex.org/W3102641634","https://openalex.org/W3106188259","https://openalex.org/W3125626040","https://openalex.org/W3126033509","https://openalex.org/W3131778097","https://openalex.org/W4214674586","https://openalex.org/W4224101701","https://openalex.org/W4290997390","https://openalex.org/W4387542153","https://openalex.org/W4388101774","https://openalex.org/W4391508763","https://openalex.org/W4391771032","https://openalex.org/W4392112390","https://openalex.org/W4392247224","https://openalex.org/W6779137011"],"related_works":["https://openalex.org/W3163639875","https://openalex.org/W2364999035","https://openalex.org/W4226497289","https://openalex.org/W2966681114","https://openalex.org/W4386078164","https://openalex.org/W3176449234","https://openalex.org/W2767235736","https://openalex.org/W2045002201","https://openalex.org/W4225278791","https://openalex.org/W4322502698"],"abstract_inverted_index":{"Community":[0],"detection":[1,27],"in":[2,62,92,113],"complex":[3],"networks":[4],"remains":[5],"a":[6,53,72,146],"significant":[7],"challenge":[8],"due":[9],"to":[10,99,121,131,150],"noise,":[11],"outliers,":[12,132],"and":[13,85,108,117,133,158],"the":[14,66],"dependency":[15],"on":[16,106],"predefined":[17],"clustering":[18,34,46,118],"parameters.":[19],"This":[20],"study":[21],"introduces":[22],"GraphDBSCAN,":[23],"an":[24,31,37,87],"adaptive":[25],"community":[26,101,135,151],"framework":[28],"that":[29,77],"integrates":[30],"optimized":[32],"density-based":[33,63],"method":[35,44,144],"with":[36],"enhanced":[38],"graph":[39,93],"partitioning":[40],"approach.":[41],"The":[42,142],"proposed":[43,143],"refines":[45],"accuracy":[47],"through":[48],"three":[49],"key":[50],"innovations:":[51],"(1)":[52],"K-nearest":[54],"neighbor":[55],"(KNN)-based":[56],"strategy":[57,91],"for":[58,68,156],"automatic":[59],"parameter":[60,140],"tuning":[61],"clustering,":[64],"eliminating":[65],"need":[67],"manual":[69],"selection;":[70],"(2)":[71],"proximity-based":[73],"feature":[74],"extraction":[75],"technique":[76],"enhances":[78,126],"node":[79],"representations":[80],"while":[81],"preserving":[82],"network":[83],"topology;":[84],"(3)":[86],"improved":[88],"edge":[89],"removal":[90],"partitioning,":[94],"incorporating":[95],"additional":[96],"centrality":[97],"measures":[98],"refine":[100],"structures.":[102],"GraphDBSCAN":[103,124],"is":[104],"evaluated":[105],"real-world":[107],"synthetic":[109],"datasets,":[110],"demonstrating":[111],"improvements":[112],"modularity,":[114],"noise":[115],"reduction,":[116],"robustness.":[119],"Compared":[120],"existing":[122],"methods,":[123],"consistently":[125],"structural":[127],"coherence,":[128],"reduces":[129],"sensitivity":[130],"improves":[134],"separation":[136],"without":[137],"requiring":[138],"fixed":[139],"assumptions.":[141],"offers":[145],"scalable,":[147],"data-driven":[148],"approach":[149],"detection,":[152],"making":[153],"it":[154],"suitable":[155],"large-scale":[157],"heterogeneous":[159],"networks.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}
