{"id":"https://openalex.org/W3154953186","doi":"https://doi.org/10.1145/3442381.3449976","title":"Efficient Probabilistic Truss Indexing on Uncertain Graphs","display_name":"Efficient Probabilistic Truss Indexing on Uncertain Graphs","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3154953186","doi":"https://doi.org/10.1145/3442381.3449976","mag":"3154953186"},"language":"en","primary_location":{"id":"doi:10.1145/3442381.3449976","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449976","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3442381.3449976","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024102274","display_name":"Zitan Sun","orcid":"https://orcid.org/0000-0002-1615-6558"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zitan Sun","raw_affiliation_strings":["HKBU, China"],"affiliations":[{"raw_affiliation_string":"HKBU, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058488736","display_name":"Xin Huang","orcid":"https://orcid.org/0000-0002-3650-0301"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Huang","raw_affiliation_strings":["HKBU, China"],"affiliations":[{"raw_affiliation_string":"HKBU, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008564713","display_name":"Jianliang Xu","orcid":"https://orcid.org/0000-0001-9404-5848"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianliang Xu","raw_affiliation_strings":["HKBU, China"],"affiliations":[{"raw_affiliation_string":"HKBU, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022272025","display_name":"Francesco Bonchi","orcid":"https://orcid.org/0000-0001-9464-8315"},"institutions":[{"id":"https://openalex.org/I134940468","display_name":"Institute for Scientific Interchange","ror":"https://ror.org/00te2x188","country_code":"IT","type":"facility","lineage":["https://openalex.org/I134940468"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Bonchi","raw_affiliation_strings":["ISI Foundation, Italy"],"affiliations":[{"raw_affiliation_string":"ISI Foundation, Italy","institution_ids":["https://openalex.org/I134940468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024102274"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9807,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.86808654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"354","last_page":"366"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9976999759674072,"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/T10374","display_name":"Advanced Graph Theory Research","score":0.9958000183105469,"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/truss","display_name":"Truss","score":0.8433492183685303},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7502022981643677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6958143711090088},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6886416077613831},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6814585328102112},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5103563666343689},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4524773359298706},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.43097811937332153},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4108333885669708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33663126826286316},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32189637422561646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1675911545753479},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11941033601760864},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08774861693382263},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.07204556465148926}],"concepts":[{"id":"https://openalex.org/C173534245","wikidata":"https://www.wikidata.org/wiki/Q1328068","display_name":"Truss","level":2,"score":0.8433492183685303},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7502022981643677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6958143711090088},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6886416077613831},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6814585328102112},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5103563666343689},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4524773359298706},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.43097811937332153},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4108333885669708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33663126826286316},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32189637422561646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1675911545753479},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11941033601760864},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08774861693382263},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.07204556465148926}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3442381.3449976","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449976","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3442381.3449976","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449976","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1570856340","https://openalex.org/W1880262756","https://openalex.org/W1986789518","https://openalex.org/W2018680580","https://openalex.org/W2023536175","https://openalex.org/W2055245094","https://openalex.org/W2057272970","https://openalex.org/W2062711641","https://openalex.org/W2067332908","https://openalex.org/W2071864549","https://openalex.org/W2078446440","https://openalex.org/W2100367856","https://openalex.org/W2100978151","https://openalex.org/W2106650313","https://openalex.org/W2125895010","https://openalex.org/W2133238553","https://openalex.org/W2136618432","https://openalex.org/W2137442080","https://openalex.org/W2139694815","https://openalex.org/W2158501189","https://openalex.org/W2212315060","https://openalex.org/W2266714125","https://openalex.org/W2296317126","https://openalex.org/W2296603104","https://openalex.org/W2314247963","https://openalex.org/W2432087854","https://openalex.org/W2554565524","https://openalex.org/W2607129247","https://openalex.org/W2621145626","https://openalex.org/W2755088640","https://openalex.org/W2929334204","https://openalex.org/W2949055953","https://openalex.org/W2951252505","https://openalex.org/W2952024205","https://openalex.org/W2964154671","https://openalex.org/W2964253936","https://openalex.org/W2964875755","https://openalex.org/W2989621752","https://openalex.org/W3015105668","https://openalex.org/W3030754506","https://openalex.org/W3046476726","https://openalex.org/W3097461950","https://openalex.org/W3102674490","https://openalex.org/W3105126733","https://openalex.org/W3131210534","https://openalex.org/W3154661944"],"related_works":["https://openalex.org/W2955404263","https://openalex.org/W2055188469","https://openalex.org/W2365888646","https://openalex.org/W4238655142","https://openalex.org/W2729632630","https://openalex.org/W2914493398","https://openalex.org/W2741416590","https://openalex.org/W2741963359","https://openalex.org/W4243933248","https://openalex.org/W2163814182"],"abstract_inverted_index":{"Networks":[0],"in":[1,10],"many":[2],"real-world":[3],"applications":[4],"come":[5],"with":[6],"an":[7],"inherent":[8],"uncertainty":[9],"their":[11],"structure,":[12],"due":[13],"to":[14],"e.g.,":[15],"noisy":[16],"measurements,":[17],"inference":[18],"and":[19,27],"prediction":[20],"models,":[21],"or":[22,53],"for":[23],"privacy":[24],"purposes.":[25],"Modeling":[26],"analyzing":[28],"uncertain":[29],"graphs":[30],"has":[31,55],"attracted":[32],"a":[33,56],"great":[34],"deal":[35],"of":[36,47],"attention.":[37],"Among":[38],"the":[39,45],"various":[40],"graph":[41],"analytic":[42],"tasks":[43],"studied,":[44],"extraction":[46],"dense":[48],"substructures,":[49],"such":[50],"as":[51],"cores":[52],"trusses,":[54],"central":[57],"role.":[58]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
