{"id":"https://openalex.org/W2769253490","doi":"https://doi.org/10.1145/3110025.3110043","title":"Method for Estimating the Eigenvectors of a Scaled Laplacian Matrix Using the Resonance of Oscillation Dynamics on Networks","display_name":"Method for Estimating the Eigenvectors of a Scaled Laplacian Matrix Using the Resonance of Oscillation Dynamics on Networks","publication_year":2017,"publication_date":"2017-07-31","ids":{"openalex":"https://openalex.org/W2769253490","doi":"https://doi.org/10.1145/3110025.3110043","mag":"2769253490"},"language":"en","primary_location":{"id":"doi:10.1145/3110025.3110043","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3110025.3110043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017","raw_type":"proceedings-article"},"type":"conference-paper","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/A5055550222","display_name":"Satoshi Furutani","orcid":"https://orcid.org/0000-0003-0565-8912"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Furutani","raw_affiliation_strings":["Graduate School of System Design, Tokyo Metropolitan University, Hino-shi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of System Design, Tokyo Metropolitan University, Hino-shi, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082194564","display_name":"Chisa Takano","orcid":"https://orcid.org/0000-0003-1126-3044"},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chisa Takano","raw_affiliation_strings":["Graduate School of Information Sciences, Hiroshima City University, Hiroshima-shi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Hiroshima City University, Hiroshima-shi, Japan","institution_ids":["https://openalex.org/I57930482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023530161","display_name":"Masaki Aida","orcid":"https://orcid.org/0000-0001-5614-6269"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaki Aida","raw_affiliation_strings":["Graduate School of System Design, Tokyo Metropolitan University, Hino-shi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of System Design, Tokyo Metropolitan University, Hino-shi, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"116","issue":"485","first_page":"615","last_page":"618"},"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9940000176429749,"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":0.9613999724388123,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.7726778984069824},{"id":"https://openalex.org/keywords/oscillation","display_name":"Oscillation (cell signaling)","score":0.6228539347648621},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.545341968536377},{"id":"https://openalex.org/keywords/resonance","display_name":"Resonance (particle physics)","score":0.5057108402252197},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5041724443435669},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.48005518317222595},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.46494215726852417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4602580964565277},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28937721252441406},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2854919731616974},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.23937469720840454},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.19379055500030518},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.14451396465301514},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.0676334798336029}],"concepts":[{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.7726778984069824},{"id":"https://openalex.org/C2778439541","wikidata":"https://www.wikidata.org/wiki/Q7106412","display_name":"Oscillation (cell signaling)","level":2,"score":0.6228539347648621},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.545341968536377},{"id":"https://openalex.org/C139210041","wikidata":"https://www.wikidata.org/wiki/Q2145840","display_name":"Resonance (particle physics)","level":2,"score":0.5057108402252197},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5041724443435669},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.48005518317222595},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.46494215726852417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4602580964565277},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28937721252441406},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2854919731616974},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.23937469720840454},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.19379055500030518},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.14451396465301514},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0676334798336029},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"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/C109214941","wikidata":"https://www.wikidata.org/wiki/Q18334","display_name":"Particle physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3110025.3110043","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3110025.3110043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017","raw_type":"proceedings-article"},{"id":"mag:2740660233","is_oa":false,"landing_page_url":"https://www.ieice.org/ken/paper/201703034bR4/eng/","pdf_url":null,"source":{"id":"https://openalex.org/S4306512848","display_name":"IEICE Technical Report; IEICE Tech. Rep.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEICE Technical Report; IEICE Tech. Rep.","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1578099820","https://openalex.org/W2540180576","https://openalex.org/W2584612074","https://openalex.org/W4206535445","https://openalex.org/W4230962939","https://openalex.org/W7005085170"],"related_works":["https://openalex.org/W4300525916","https://openalex.org/W2951938077","https://openalex.org/W3004345458","https://openalex.org/W2896947499","https://openalex.org/W4287997892","https://openalex.org/W4298332869","https://openalex.org/W3154732257","https://openalex.org/W2540180576","https://openalex.org/W2887594348","https://openalex.org/W4289729910"],"abstract_inverted_index":{"Spectral":[0],"graph":[1],"theory":[2],"gives":[3],"a":[4,63,68,84,90,104,123,130],"useful":[5],"approach":[6],"to":[7,40],"analyzing":[8],"network":[9,23,43,109],"structure":[10],"based":[11],"on":[12,100,142],"the":[13,17,22,42,51,77,95,108,113,127,137],"adjacency":[14],"matrix":[15,19,70,92,132],"or":[16],"Laplacian":[18,69,91,131],"that":[20],"represents":[21],"topology":[24,44],"and":[25,32,45,74,111],"link":[26,46],"weights.":[27],"However,":[28],"in":[29],"large":[30],"scale":[31],"complex":[33],"social":[34],"networks,":[35],"since":[36],"it":[37],"is":[38],"difficult":[39],"know":[41],"weights,":[47],"we":[48,61,121],"cannot":[49],"determine":[50],"components":[52],"of":[53,89,97,115,129,139],"these":[54],"matrices":[55],"directly.":[56],"To":[57],"solve":[58],"this":[59,116,119],"problem,":[60],"consider":[62],"method":[64,85,124],"for":[65,86,125],"indirectly":[66],"determining":[67],"from":[71],"its":[72],"eigenvalues":[73,88],"eigenvectors.":[75],"As":[76],"first":[78],"step,":[79],"our":[80],"prior":[81],"study":[82],"proposed":[83],"estimating":[87,126],"by":[93,133],"using":[94,136],"resonance":[96,138],"oscillation":[98,140],"dynamics":[99,141],"networks":[101],"with":[102],"no":[103],"priori":[105],"information":[106],"about":[107],"structure,":[110],"showed":[112],"effectiveness":[114],"method.":[117],"In":[118],"paper,":[120],"propose":[122],"eigenvectors":[128],"once":[134],"again":[135],"networks.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}