{"id":"https://openalex.org/W3093901169","doi":"https://doi.org/10.1145/3340531.3412034","title":"Hypergraph Random Walks, Laplacians, and Clustering","display_name":"Hypergraph Random Walks, Laplacians, and Clustering","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3093901169","doi":"https://doi.org/10.1145/3340531.3412034","mag":"3093901169"},"language":"en","primary_location":{"id":"doi:10.1145/3340531.3412034","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3412034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information &amp; Knowledge Management","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/A5015111861","display_name":"Koby Hayashi","orcid":"https://orcid.org/0000-0003-0781-0543"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Koby Hayashi","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065542694","display_name":"Sinan G. Aksoy","orcid":"https://orcid.org/0000-0002-3466-3334"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sinan G. Aksoy","raw_affiliation_strings":["Pacific Northwest National Lab, Richland, WA, USA"],"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Lab, Richland, WA, USA","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028761737","display_name":"Cheong Hee Park","orcid":"https://orcid.org/0000-0002-8233-2206"},"institutions":[{"id":"https://openalex.org/I196345858","display_name":"Chungnam National University","ror":"https://ror.org/0227as991","country_code":"KR","type":"education","lineage":["https://openalex.org/I196345858"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Cheong Hee Park","raw_affiliation_strings":["Chungnam National University, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Chungnam National University, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I196345858"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101728710","display_name":"Haesun Park","orcid":"https://orcid.org/0000-0001-6259-7170"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haesun Park","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015111861"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":3.8504,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.94110417,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"495","last_page":"504"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9973999857902527,"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/T11106","display_name":"Data Management and Algorithms","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/hypergraph","display_name":"Hypergraph","score":0.892006516456604},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7982310056686401},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5946862101554871},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5238285660743713},{"id":"https://openalex.org/keywords/incidence-matrix","display_name":"Incidence matrix","score":0.4839351773262024},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4390339255332947},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4293779730796814},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.4246125817298889},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3770506680011749},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37102603912353516},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.2765684127807617},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.25631284713745117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21389755606651306},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06693822145462036}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.892006516456604},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7982310056686401},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5946862101554871},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5238285660743713},{"id":"https://openalex.org/C85136909","wikidata":"https://www.wikidata.org/wiki/Q939272","display_name":"Incidence matrix","level":3,"score":0.4839351773262024},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4390339255332947},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4293779730796814},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.4246125817298889},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3770506680011749},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37102603912353516},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.2765684127807617},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.25631284713745117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21389755606651306},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06693822145462036},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3340531.3412034","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3412034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W656343110","https://openalex.org/W1504886279","https://openalex.org/W1513079230","https://openalex.org/W1586184796","https://openalex.org/W1673729927","https://openalex.org/W1995709544","https://openalex.org/W2005676288","https://openalex.org/W2013029404","https://openalex.org/W2051638434","https://openalex.org/W2067931421","https://openalex.org/W2069992656","https://openalex.org/W2092125189","https://openalex.org/W2102907934","https://openalex.org/W2133576408","https://openalex.org/W2137734074","https://openalex.org/W2139694940","https://openalex.org/W2165922980","https://openalex.org/W2470861207","https://openalex.org/W2560674852","https://openalex.org/W2752425240","https://openalex.org/W2752670111","https://openalex.org/W2755951761","https://openalex.org/W2914552685","https://openalex.org/W2963180298","https://openalex.org/W2963601747","https://openalex.org/W2965117206","https://openalex.org/W2977164051","https://openalex.org/W3006206211","https://openalex.org/W3032716100","https://openalex.org/W3100144903","https://openalex.org/W3111213779","https://openalex.org/W4212774754"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W1537073411","https://openalex.org/W1948107826","https://openalex.org/W2558716804","https://openalex.org/W2043267240","https://openalex.org/W4392903220","https://openalex.org/W4389974834","https://openalex.org/W2120423898","https://openalex.org/W2952437374","https://openalex.org/W4394663297"],"abstract_inverted_index":{"We":[0,53,109],"propose":[1],"a":[2,25,34,70,102],"flexible":[3],"framework":[4],"for":[5,82,123],"clustering":[6,73,98,107],"hypergraph-structured":[7],"data":[8,51,87],"based":[9],"on":[10],"recently":[11],"proposed":[12,113],"random":[13,56],"walks":[14,57],"utilizing":[15],"edge-dependent":[16,21],"vertex":[17,22],"weights.":[18],"When":[19],"incorporating":[20],"weights":[23],"(EDVW),":[24],"weight":[26],"is":[27],"associated":[28],"with":[29,58],"each":[30],"vertex-hyperedge":[31],"pair,":[32],"yielding":[33],"weighted":[35],"incidence":[36,78],"matrix":[37],"of":[38,49,72,96,104],"the":[39,94,112],"hypergraph.":[40],"Such":[41],"weightings":[42],"have":[43],"been":[44],"utilized":[45],"in":[46],"term-document":[47],"representations":[48],"text":[50],"sets.":[52],"explain":[54],"how":[55],"EDVW":[59],"serve":[60],"to":[61],"construct":[62],"different":[63],"hypergraph":[64,83,106],"Laplacian":[65],"matrices,":[66],"and":[67,80,118],"then":[68],"develop":[69],"suite":[71],"methods":[74,114],"that":[75,111],"use":[76],"these":[77,97],"matrices":[79],"Laplacians":[81],"clustering.":[84],"Using":[85],"several":[86],"sets":[88],"from":[89],"real-life":[90],"applications,":[91],"we":[92],"compare":[93],"performance":[95],"algorithms":[99],"experimentally":[100],"against":[101],"variety":[103],"existing":[105],"methods.":[108],"show":[110],"produce":[115],"high-quality":[116],"clusters":[117],"conclude":[119],"by":[120],"highlighting":[121],"avenues":[122],"future":[124],"work.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":9}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
