{"id":"https://openalex.org/W3035648766","doi":"https://doi.org/10.1145/3394486.3403060","title":"Structural Patterns and Generative Models of Real-world Hypergraphs","display_name":"Structural Patterns and Generative Models of Real-world Hypergraphs","publication_year":2020,"publication_date":"2020-08-20","ids":{"openalex":"https://openalex.org/W3035648766","doi":"https://doi.org/10.1145/3394486.3403060","mag":"3035648766"},"language":"en","primary_location":{"id":"doi:10.1145/3394486.3403060","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3403060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2006.07060","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Manh Tuan Do","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Manh Tuan Do","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Se-eun Yoon","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Se-eun Yoon","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bryan Hooi","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bryan Hooi","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":null,"display_name":"Kijung Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kijung Shin","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":3.8912,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.94068471,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"176","last_page":"186"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.66839998960495},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6043000221252441},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.4203999936580658},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.3716000020503998},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.28029999136924744}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.66839998960495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6287000179290771},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6043000221252441},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.4203999936580658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3824999928474426},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3716000020503998},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33160001039505005},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2809000015258789},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.27970001101493835}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3394486.3403060","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3403060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2006.07060","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.07060","pdf_url":"https://arxiv.org/pdf/2006.07060","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2006.07060","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.07060","pdf_url":"https://arxiv.org/pdf/2006.07060","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W588318799","https://openalex.org/W1932742904","https://openalex.org/W1971421925","https://openalex.org/W1981086745","https://openalex.org/W1984137208","https://openalex.org/W1991732058","https://openalex.org/W1993803315","https://openalex.org/W2007541434","https://openalex.org/W2027377866","https://openalex.org/W2028314260","https://openalex.org/W2039486340","https://openalex.org/W2061118827","https://openalex.org/W2103656237","https://openalex.org/W2111708605","https://openalex.org/W2129620481","https://openalex.org/W2151078464","https://openalex.org/W2164195254","https://openalex.org/W2166037832","https://openalex.org/W2170057991","https://openalex.org/W2729780524","https://openalex.org/W2744808284","https://openalex.org/W2787887656","https://openalex.org/W2809425754","https://openalex.org/W3003235278","https://openalex.org/W3004555699","https://openalex.org/W3142588439","https://openalex.org/W4248920304","https://openalex.org/W6634264458"],"related_works":[],"abstract_inverted_index":{"Graphs":[0],"have":[1],"been":[2,95],"utilized":[3],"as":[4,28],"a":[5,19,23,71],"powerful":[6],"tool":[7],"to":[8,27,84,97],"model":[9],"pairwise":[10],"relationships":[11],"between":[12],"people":[13],"or":[14,74],"objects.":[15],"Such":[16],"structure":[17],"is":[18],"special":[20],"type":[21],"of":[22,36,40,49,53,60,62,89],"broader":[24],"concept":[25],"referred":[26],"hypergraph,":[29],"in":[30,70,78,102],"which":[31],"each":[32],"hyperedge":[33],"may":[34],"consist":[35],"an":[37,66,79],"arbitrary":[38],"number":[39,48],"nodes,":[41],"rather":[42],"than":[43],"just":[44],"two.":[45],"A":[46],"large":[47],"real-world":[50],"datasets":[51],"are":[52],"this":[54],"form":[55],"-":[56],"for":[57],"example,":[58],"lists":[59],"recipients":[61],"emails":[63],"sent":[64],"from":[65],"organization,":[67],"users":[68],"participating":[69],"discussion":[72],"thread":[73],"subject":[75],"labels":[76],"tagged":[77],"online":[80],"question.":[81],"However,":[82],"due":[83],"complex":[85],"representations":[86],"and":[87],"lack":[88],"adequate":[90],"tools,":[91],"little":[92],"attention":[93],"has":[94],"paid":[96],"exploring":[98],"the":[99],"underlying":[100],"patterns":[101],"these":[103],"interactions.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2020-06-19T00:00:00"}