{"id":"https://openalex.org/W2914981920","doi":"https://doi.org/10.1145/3308558.3313534","title":"Revisiting Wedge Sampling for Triangle Counting","display_name":"Revisiting Wedge Sampling for Triangle Counting","publication_year":2019,"publication_date":"2019-05-13","ids":{"openalex":"https://openalex.org/W2914981920","doi":"https://doi.org/10.1145/3308558.3313534","mag":"2914981920"},"language":"en","primary_location":{"id":"doi:10.1145/3308558.3313534","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313534","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":"The World Wide Web Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3308558.3313534","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108270551","display_name":"Ata T\u00fcrk","orcid":null},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ata Turk","raw_affiliation_strings":["Boston University, USA"],"affiliations":[{"raw_affiliation_string":"Boston University, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035703672","display_name":"Duru T\u00fcrko\u011flu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duru Turkoglu","raw_affiliation_strings":["Loyola University, USA"],"affiliations":[{"raw_affiliation_string":"Loyola University, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108270551"],"corresponding_institution_ids":["https://openalex.org/I111088046"],"apc_list":null,"apc_paid":null,"fwci":1.0122,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.80149831,"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":"1875","last_page":"1885"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9926000237464905,"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"}},"topics":[{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9926000237464905,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9919000267982483,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9824000000953674,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wedge","display_name":"Wedge (geometry)","score":0.5924298763275146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5150980353355408},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3151060938835144},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.17835164070129395}],"concepts":[{"id":"https://openalex.org/C47422493","wikidata":"https://www.wikidata.org/wiki/Q2755127","display_name":"Wedge (geometry)","level":2,"score":0.5924298763275146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5150980353355408},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3151060938835144},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.17835164070129395}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3308558.3313534","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313534","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":"The World Wide Web Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3308558.3313534","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313534","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":"The World Wide Web Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W131619556","https://openalex.org/W1489509891","https://openalex.org/W1551652843","https://openalex.org/W1614522028","https://openalex.org/W1665157575","https://openalex.org/W1757785627","https://openalex.org/W1772231674","https://openalex.org/W1888346910","https://openalex.org/W1932742904","https://openalex.org/W1967066104","https://openalex.org/W1968414620","https://openalex.org/W2002205566","https://openalex.org/W2002576896","https://openalex.org/W2016311778","https://openalex.org/W2031082424","https://openalex.org/W2037774459","https://openalex.org/W2064069308","https://openalex.org/W2080312846","https://openalex.org/W2082773934","https://openalex.org/W2092277251","https://openalex.org/W2102260665","https://openalex.org/W2102322109","https://openalex.org/W2110814195","https://openalex.org/W2120248756","https://openalex.org/W2150875823","https://openalex.org/W2154191591","https://openalex.org/W2158432527","https://openalex.org/W2278390984","https://openalex.org/W2403485635","https://openalex.org/W2423807589","https://openalex.org/W2536223246","https://openalex.org/W2550802162","https://openalex.org/W2568847787","https://openalex.org/W2593265540","https://openalex.org/W2595600836","https://openalex.org/W2755088640","https://openalex.org/W2766822832","https://openalex.org/W2963276581","https://openalex.org/W2963467900","https://openalex.org/W3101919183","https://openalex.org/W3101974065","https://openalex.org/W3104563092","https://openalex.org/W3126084272","https://openalex.org/W4213135654","https://openalex.org/W4248364277"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2017385525","https://openalex.org/W4245490552","https://openalex.org/W4225152035","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W1587224694"],"abstract_inverted_index":{"Triangle":[0],"counts":[1],"of":[2,12,31],"massive":[3],"graphs":[4,16,80],"can":[5,21],"provide":[6,111],"important":[7],"information":[8],"regarding":[9],"the":[10,13,62,97,112,128],"structure":[11],"networks":[14],"these":[15],"model.":[17],"Exact":[18],"triangle":[19,36,58],"counting":[20],"be":[22],"expensive":[23],"and":[24],"thus":[25],"researchers":[26],"have":[27],"proposed":[28,83],"a":[29,50,88],"number":[30],"approximation":[32,38],"approaches.":[33],"The":[34],"state-of-the-art":[35,98],"count":[37],"techniques":[39],"depend":[40],"on":[41],"wedge":[42,55],"(two-path)":[43],"sampling.":[44],"In":[45],"this":[46],"paper":[47],"we":[48],"offer":[49],"mechanism":[51,84],"to":[52,72,87,110],"significantly":[53],"improve":[54],"sampling":[56,63,91,109,130],"for":[57],"counting.":[59],"We":[60],"shrink":[61],"space":[64,92],"by":[65],"eliminating":[66],"wedges":[67],"that":[68,82],"are":[69],"less":[70,108,123],"likely":[71],"participate":[73],"in":[74],"triangles.":[75],"Experiments":[76],"over":[77],"large-scale":[78],"real-world":[79],"show":[81],"provides":[85],"five-":[86],"few":[89],"hundred-folds":[90],"reduction.":[93],"When":[94],"compared":[95],"against":[96],"approaches,":[99],"it":[100],"requires":[101],"as":[102,104,117,119],"low":[103,118],"~":[105,120],"100":[106],"\u00d7":[107,122],"same":[113,129],"accuracy,":[114],"or":[115],"makes":[116],"8":[121],"error":[124],"when":[125],"used":[126],"with":[127],"ratio.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}