{"id":"https://openalex.org/W3000013731","doi":"https://doi.org/10.1145/3341161.3342944","title":"CAB-NC","display_name":"CAB-NC","publication_year":2019,"publication_date":"2019-08-27","ids":{"openalex":"https://openalex.org/W3000013731","doi":"https://doi.org/10.1145/3341161.3342944","mag":"3000013731"},"language":"en","primary_location":{"id":"doi:10.1145/3341161.3342944","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341161.3342944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-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/A5068513079","display_name":"Masaomi Kimura","orcid":"https://orcid.org/0000-0003-3991-4259"},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masaomi Kimura","raw_affiliation_strings":["Shibaura Institute of Technology, Koto city, Tokyo, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shibaura Institute of Technology, Koto city, Tokyo, JAPAN","institution_ids":["https://openalex.org/I171481255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068513079"],"corresponding_institution_ids":["https://openalex.org/I171481255"],"apc_list":null,"apc_paid":null,"fwci":0.1388,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47876648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"538","last_page":"539"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9925000071525574,"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9686999917030334,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/modularity","display_name":"Modularity (biology)","score":0.8054565191268921},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6932697296142578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6527807116508484},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.6231072545051575},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.5565640926361084},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.48395660519599915},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45882415771484375},{"id":"https://openalex.org/keywords/spectral-analysis","display_name":"Spectral analysis","score":0.430936723947525},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33510899543762207},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32578128576278687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32419508695602417},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3000194728374481},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.16124126315116882},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.14107176661491394},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1146266758441925}],"concepts":[{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.8054565191268921},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6932697296142578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6527807116508484},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6231072545051575},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.5565640926361084},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.48395660519599915},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45882415771484375},{"id":"https://openalex.org/C2983668108","wikidata":"https://www.wikidata.org/wiki/Q280453","display_name":"Spectral analysis","level":3,"score":0.430936723947525},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33510899543762207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32578128576278687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32419508695602417},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3000194728374481},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.16124126315116882},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.14107176661491394},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1146266758441925},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C32891209","wikidata":"https://www.wikidata.org/wiki/Q483666","display_name":"Spectroscopy","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3341161.3342944","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341161.3342944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2033852356","https://openalex.org/W2107327484","https://openalex.org/W2128366083","https://openalex.org/W2217748804"],"related_works":["https://openalex.org/W4230687177","https://openalex.org/W1968829728","https://openalex.org/W2349859869","https://openalex.org/W3120118008","https://openalex.org/W4316651471","https://openalex.org/W2051365847","https://openalex.org/W2367249529","https://openalex.org/W2027187261","https://openalex.org/W2088885441","https://openalex.org/W1943342825"],"abstract_inverted_index":{"Finding":[0],"clusters":[1],"in":[2,9],"a":[3,43],"network":[4],"has":[5,31],"been":[6,32],"practically":[7],"important":[8],"many":[10,16],"applications":[11],"and":[12,25,55,62],"was":[13],"studied":[14],"by":[15],"researchers.":[17],"Most":[18],"commonly":[19],"used":[20],"methods":[21],"are":[22],"spectral":[23,60],"clustering":[24,61],"Newman's":[26,66],"modularity":[27],"maximization.":[28],"However,":[29],"there":[30],"no":[33],"unified":[34],"view":[35],"of":[36],"them.":[37],"In":[38],"this":[39],"study,":[40],"we":[41],"introduced":[42],"new":[44],"guiding":[45],"principle":[46],"based":[47],"on":[48],"correspondence":[49],"analysis":[50],"to":[51,59,65],"obtain":[52],"nodes'":[53],"coordinates":[54],"discussed":[56],"its":[57,63],"equivalence":[58],"relationship":[64],"modularity.":[67]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-01-23T00:00:00"}