{"id":"https://openalex.org/W2604995176","doi":"https://doi.org/10.3233/978-1-61499-703-0-573","title":"A Distance-Based Spectral Clustering Approach with Applications to Network Community Detection","display_name":"A Distance-Based Spectral Clustering Approach with Applications to Network Community Detection","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2604995176","doi":"https://doi.org/10.3233/978-1-61499-703-0-573","mag":"2604995176"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-703-0-573","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-703-0-573","pdf_url":null,"source":{"id":"https://openalex.org/S4210187496","display_name":"Advances in transdisciplinary engineering","issn_l":"2352-751X","issn":["2352-751X","2352-7528"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Transdisciplinary Engineering","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/978-1-61499-703-0-573","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101743038","display_name":"Gang Shen","orcid":"https://orcid.org/0000-0001-5961-8110"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shen Gang","raw_affiliation_strings":["School of Software Engineering , Huazhong University of Science and Technology , Wuhan 430074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering , Huazhong University of Science and Technology , Wuhan 430074, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081453039","display_name":"Dongmei Ye","orcid":"https://orcid.org/0000-0003-0247-3891"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Dongmei","raw_affiliation_strings":["School of Software Engineering , Huazhong University of Science and Technology , Wuhan 430074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering , Huazhong University of Science and Technology , Wuhan 430074, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30057487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9613000154495239,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9613000154495239,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9456999897956848,"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":0.6796770095825195},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.6027443408966064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5480841994285583},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36609411239624023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.258022665977478}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6796770095825195},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6027443408966064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5480841994285583},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36609411239624023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.258022665977478}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-703-0-573","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-703-0-573","pdf_url":null,"source":{"id":"https://openalex.org/S4210187496","display_name":"Advances in transdisciplinary engineering","issn_l":"2352-751X","issn":["2352-751X","2352-7528"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Transdisciplinary Engineering","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/978-1-61499-703-0-573","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-703-0-573","pdf_url":null,"source":{"id":"https://openalex.org/S4210187496","display_name":"Advances in transdisciplinary engineering","issn_l":"2352-751X","issn":["2352-751X","2352-7528"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Transdisciplinary Engineering","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"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/W1482912984"],"abstract_inverted_index":{"Object":[0],"clustering":[1,39],"is":[2,71,102,108],"a":[3,23,36,43,57,64,96,139],"fundamental":[4],"task":[5],"in":[6,56],"many":[7],"data":[8],"analysis":[9],"and":[10,143],"pattern":[11],"understanding":[12],"applications":[13],"by":[14],"providing":[15],"insights":[16],"into":[17],"detecting":[18],"the":[19,48,54,68,77,80,93,111,132,145,148],"underlying":[20],"structures":[21],"of":[22,26,45,50,83,92,147],"large":[24],"collection":[25,44],"samples.":[27],"In":[28],"this":[29,84,105,129],"paper,":[30],"we":[31],"present":[32],"our":[33],"work":[34],"on":[35],"novel":[37],"spectral":[38],"algorithm":[40,119,130],"that":[41,76,104],"partitions":[42],"objects":[46],"using":[47,138],"spectrum":[49],"adistance":[51],"matrix.":[52],"If":[53],"nodes":[55],"metric":[58],"space":[59],"can":[60,86,120],"be":[61,87,121],"associated":[62],"with":[63,151],"well":[65],"defined":[66],"distance,":[67],"distance":[69],"matrix":[70,85],"almost":[72],"negative":[73],"definite,":[74],"implying":[75],"eigenvector":[78],"for":[79],"smallest":[81,106],"eigenvalues":[82,125],"used":[88],"as":[89],"an":[90],"approximation":[91],"solution":[94],"to":[95,110,123,131],"quadratic":[97],"form":[98],"partition":[99],"problem.":[100],"It":[101],"proved":[103],"eigenvalue":[107],"equivalent":[109],"second":[112],"largest":[113],"singular":[114],"value.":[115],"Therefore":[116],"Lanczos":[117],"iterative":[118],"applied":[122],"findingthe":[124],"efficiently.":[126],"We":[127],"adapted":[128],"distributed":[133],"network":[134],"community":[135],"detection":[136],"problem":[137],"decentralized":[140],"multi-agent":[141],"framework,":[142],"tested":[144],"effectiveness":[146],"proposed":[149],"approach":[150],"simulations.":[152]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2017-04-14T00:00:00"}