{"id":"https://openalex.org/W3091205391","doi":"https://doi.org/10.1109/tkde.2020.3027950","title":"Truss-Based Structural Diversity Search in Large Graphs","display_name":"Truss-Based Structural Diversity Search in Large Graphs","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3091205391","doi":"https://doi.org/10.1109/tkde.2020.3027950","mag":"3091205391"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2020.3027950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.3027950","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5057053812","display_name":"Jinbin Huang","orcid":"https://orcid.org/0000-0002-8238-5439"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Jinbin Huang","raw_affiliation_strings":["Hong Kong Baptist University, Kowloon Tong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058488736","display_name":"Xin Huang","orcid":"https://orcid.org/0000-0002-3650-0301"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xin Huang","raw_affiliation_strings":["Hong Kong Baptist University, Kowloon Tong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008564713","display_name":"Jianliang Xu","orcid":"https://orcid.org/0000-0001-9404-5848"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jianliang Xu","raw_affiliation_strings":["Hong Kong Baptist University, Kowloon Tong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057053812"],"corresponding_institution_ids":["https://openalex.org/I141568987"],"apc_list":null,"apc_paid":null,"fwci":0.3983,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.591242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"34","issue":"8","first_page":"4037","last_page":"4051"},"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9919999837875366,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9908000230789185,"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/notation","display_name":"Notation","score":0.8188738822937012},{"id":"https://openalex.org/keywords/truss","display_name":"Truss","score":0.7625102400779724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5028101801872253},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.4276226758956909},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.42145439982414246},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.4170001745223999},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.10213106870651245},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07640713453292847}],"concepts":[{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.8188738822937012},{"id":"https://openalex.org/C173534245","wikidata":"https://www.wikidata.org/wiki/Q1328068","display_name":"Truss","level":2,"score":0.7625102400779724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5028101801872253},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.4276226758956909},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.42145439982414246},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.4170001745223999},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.10213106870651245},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07640713453292847},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2020.3027950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.3027950","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G1141341307","display_name":null,"funder_award_id":"RGC 12200917","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3535394128","display_name":null,"funder_award_id":"12201018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5318961690","display_name":null,"funder_award_id":"CRF C6030-18GF","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8444459282","display_name":null,"funder_award_id":"61702435","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W168389790","https://openalex.org/W1974874717","https://openalex.org/W1981825277","https://openalex.org/W1993320088","https://openalex.org/W1994918139","https://openalex.org/W1995913408","https://openalex.org/W1996760769","https://openalex.org/W2016311778","https://openalex.org/W2020319151","https://openalex.org/W2023536175","https://openalex.org/W2035165116","https://openalex.org/W2038195874","https://openalex.org/W2055245094","https://openalex.org/W2067332908","https://openalex.org/W2111394372","https://openalex.org/W2124725054","https://openalex.org/W2125895010","https://openalex.org/W2156020699","https://openalex.org/W2158908968","https://openalex.org/W2166470254","https://openalex.org/W2200568848","https://openalex.org/W2296317126","https://openalex.org/W2432087854","https://openalex.org/W2616769589","https://openalex.org/W2621145626","https://openalex.org/W2735638351","https://openalex.org/W2753758798","https://openalex.org/W2755088640","https://openalex.org/W2765884153","https://openalex.org/W2769057894","https://openalex.org/W2793971503","https://openalex.org/W2963281832","https://openalex.org/W3038050450","https://openalex.org/W3091205391","https://openalex.org/W3105126733","https://openalex.org/W4212876428","https://openalex.org/W4232212779","https://openalex.org/W4246219036","https://openalex.org/W4248608749","https://openalex.org/W6744271739","https://openalex.org/W6760509147"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2955404263","https://openalex.org/W2055188469","https://openalex.org/W2365888646","https://openalex.org/W4238655142","https://openalex.org/W2914493398","https://openalex.org/W2741416590","https://openalex.org/W2729632630","https://openalex.org/W2741963359","https://openalex.org/W2002630260"],"abstract_inverted_index":{"Social":[0],"decisions":[1],"made":[2],"by":[3,8],"individuals":[4],"are":[5,140],"easily":[6],"influenced":[7],"information":[9,175,201],"from":[10,49],"their":[11,108],"social":[12,18,24,54,109],"neighborhoods.":[13],"A":[14],"key":[15],"predictor":[16],"of":[17,23,53,81,146,151,185,220],"contagion":[19],"is":[20,32],"the":[21,27,37,50,69,96,101,142,144,149,159,172,183,198,216],"multiplicity":[22],"contexts":[25],"inside":[26],"individual\u2019s":[28],"contact":[29],"neighborhood,":[30],"which":[31,170],"termed":[33],"structural":[34,64,83,104,119,173,194],"diversity.":[35,56],"However,":[36],"existing":[38],"models":[39],"have":[40],"limited":[41],"decomposability":[42],"for":[43,176,202],"analyzing":[44],"large-scale":[45],"networks,":[46],"and":[47,106,136,148,165,206,218,224],"suffer":[48],"inaccurate":[51],"reflection":[52],"context":[55],"In":[57],"this":[58,74,113],"paper,":[59],"we":[60,76,115,161],"propose":[61,116],"a":[62,78,87,188],"truss-based":[63,82,103],"diversity":[65,84,105,120,174,195],"model":[66,223],"to":[67,94],"overcome":[68],"weak":[70],"decomposability.":[71],"Based":[72],"on":[73],"model,":[75],"study":[77],"novel":[79],"problem":[80],"search":[85,121,196],"in":[86,123,153,209],"graph":[88],"<inline-formula><tex-math":[89,97,124,130,133,137,154,210],"notation=\"LaTeX\">$G$</tex-math></inline-formula>":[90,155],",":[91,132,135],"that":[92],"is,":[93],"find":[95],"notation=\"LaTeX\">$r$</tex-math></inline-formula>":[98],"vertices":[99],"with":[100],"highest":[102],"return":[107],"contexts.":[110],"To":[111,157],"tackle":[112],"problem,":[114],"an":[117,163],"online":[118],"algorithm":[122],"notation=\"LaTeX\">$O(\\rho":[125],"(m+\\mathcal":[126],"{T}))$</tex-math></inline-formula>":[127],"time,":[128],"where":[129],"notation=\"LaTeX\">$\\rho$</tex-math></inline-formula>":[131],"notation=\"LaTeX\">$m$</tex-math></inline-formula>":[134],"notation=\"LaTeX\">$\\mathcal":[138],"{T}$</tex-math></inline-formula>":[139],"respectively":[141],"arboricity,":[143],"number":[145,150],"edges,":[147],"triangles":[152],".":[156],"improve":[158],"efficiency,":[160],"design":[162],"elegant":[164],"compact":[166],"index,":[167],"called":[168],"TSD-index,":[169],"keeps":[171],"all":[177],"individual":[178],"vertices.":[179],"We":[180],"further":[181],"optimize":[182],"structure":[184],"TSD-index":[186],"into":[187],"highly":[189],"compressed":[190],"GCT-index.":[191],"Our":[192],"GCT-index-based":[193],"utilizes":[197],"global":[199],"triangle":[200],"fast":[203],"index":[204],"construction":[205],"finds":[207],"answers":[208],"notation=\"LaTeX\">$O(m)$</tex-math></inline-formula>":[211],"time.":[212],"Extensive":[213],"experiments":[214],"demonstrate":[215],"effectiveness":[217],"efficiency":[219],"our":[221],"proposed":[222],"algorithms,":[225],"against":[226],"state-of-the-art":[227],"methods.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
