{"id":"https://openalex.org/W2110586699","doi":"https://doi.org/10.14778/2350229.2350256","title":"Measuring two-event structural correlations on graphs","display_name":"Measuring two-event structural correlations on graphs","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2110586699","doi":"https://doi.org/10.14778/2350229.2350256","mag":"2110586699"},"language":"en","primary_location":{"id":"doi:10.14778/2350229.2350256","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2350229.2350256","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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/A5065194313","display_name":"Ziyu Guan","orcid":"https://orcid.org/0000-0003-2413-4698"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ziyu Guan","raw_affiliation_strings":["University of California, Santa Barbara, CA","University of California, Santa Barbara, Ca#TAB#"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, CA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"University of California, Santa Barbara, Ca#TAB#","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047709762","display_name":"Xifeng Yan","orcid":"https://orcid.org/0009-0000-6508-4792"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xifeng Yan","raw_affiliation_strings":["University of California, Santa Barbara, CA","University of California, Santa Barbara, Ca#TAB#"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, CA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"University of California, Santa Barbara, Ca#TAB#","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022713560","display_name":"Lance Kaplan","orcid":"https://orcid.org/0000-0002-3627-4471"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lance M. Kaplan","raw_affiliation_strings":["U.S. Army Research Laboratory, Adelphi, MD"],"affiliations":[{"raw_affiliation_string":"U.S. Army Research Laboratory, Adelphi, MD","institution_ids":["https://openalex.org/I166416128"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065194313"],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.14724055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":"11","first_page":"1400","last_page":"1411"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"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":1.0,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9958000183105469,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9922999739646912,"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/computer-science","display_name":"Computer science","score":0.6442959308624268},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5659623146057129},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5610623955726624},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5337781310081482},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5144174695014954},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5065306425094604},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4931168258190155},{"id":"https://openalex.org/keywords/null-model","display_name":"Null model","score":0.4844834506511688},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4426494538784027},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.42234641313552856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.317748486995697},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.12687399983406067}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6442959308624268},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5659623146057129},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5610623955726624},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5337781310081482},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5144174695014954},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5065306425094604},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4931168258190155},{"id":"https://openalex.org/C36382193","wikidata":"https://www.wikidata.org/wiki/Q7068966","display_name":"Null model","level":2,"score":0.4844834506511688},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4426494538784027},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.42234641313552856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.317748486995697},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.12687399983406067},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.14778/2350229.2350256","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2350229.2350256","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.294.3825","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.294.3825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vldb.org/pvldb/vol5/p1400_ziyuguan_vldb2012.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.756.499","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.756.499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1208.0221.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.916.5245","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.916.5245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dtic.mil/get-tr-doc/pdf?AD%3DADA565440%26Location%3DU2%26doc%3DGetTRDoc.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W57852748","https://openalex.org/W67958692","https://openalex.org/W1493790738","https://openalex.org/W1496357020","https://openalex.org/W1514107797","https://openalex.org/W1558205009","https://openalex.org/W1991234994","https://openalex.org/W2003050333","https://openalex.org/W2013729009","https://openalex.org/W2066636486","https://openalex.org/W2080263564","https://openalex.org/W2094509095","https://openalex.org/W2098873523","https://openalex.org/W2124379907","https://openalex.org/W2124637492","https://openalex.org/W2130557336","https://openalex.org/W2131383217","https://openalex.org/W2136593687","https://openalex.org/W2140190241","https://openalex.org/W2153319198","https://openalex.org/W2155048531","https://openalex.org/W2161449253","https://openalex.org/W2165515835","https://openalex.org/W2170726034","https://openalex.org/W2204383650","https://openalex.org/W2283762717","https://openalex.org/W2315484128","https://openalex.org/W3015962962","https://openalex.org/W3215037115","https://openalex.org/W4212845555","https://openalex.org/W4245108263","https://openalex.org/W4248740781","https://openalex.org/W4301891957","https://openalex.org/W6678485558","https://openalex.org/W6678568454","https://openalex.org/W6680704940","https://openalex.org/W6687668471"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W1838576100","https://openalex.org/W2757182831","https://openalex.org/W2095886385","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385","https://openalex.org/W2357523926"],"abstract_inverted_index":{"Real-life":[0],"graphs":[1],"usually":[2],"have":[3],"various":[4],"kinds":[5],"of":[6,26,85,93,99,116,129,158],"events":[7,27,173],"happening":[8],"on":[9,28,53,80,164],"them,":[10],"e.g.,":[11],"product":[12],"purchases":[13],"in":[14,21,143],"online":[15],"social":[16],"networks":[17],"and":[18,60,103,171,186],"intrusion":[19],"alerts":[20],"computer":[22],"networks.":[23],"The":[24,156],"occurrences":[25,84],"the":[29,83,97,105,113,134,141,176],"same":[30],"graph":[31,54,166],"could":[32],"be":[33,62,122],"correlated,":[34],"exhibiting":[35],"either":[36],"attraction":[37],"or":[38],"repulsion.":[39],"Such":[40],"structural":[41,78],"correlations":[42,79],"can":[43,121],"reveal":[44],"important":[45],"relationships":[46,52],"between":[47],"different":[48,153],"events.":[49],"Unfortunately,":[50],"correlation":[51,109],"structures":[55],"are":[56],"not":[57,180],"well":[58],"studied":[59],"cannot":[61],"captured":[63],"by":[64,125],"traditional":[65],"measures.":[66],"In":[67,137],"this":[68],"work,":[69],"we":[70,88,147],"design":[71],"a":[72,91,149],"novel":[73],"measure":[74,110,142],"for":[75],"assessing":[76],"two-event":[77],"graphs.":[81],"Given":[82],"two":[86],"events,":[87],"choose":[89],"uniformly":[90],"sample":[92],"\"reference":[94],"nodes\"":[95],"from":[96],"vicinity":[98],"all":[100],"event":[101,117],"nodes":[102],"employ":[104],"Kendall's":[106],"\u03c4":[107],"rank":[108],"to":[111,139],"compute":[112,140],"average":[114],"concordance":[115],"density":[118],"changes.":[119],"Significance":[120],"efficiently":[123],"assessed":[124],"\u03c4's":[126],"nice":[127],"property":[128],"being":[130],"asymptotically":[131],"normal":[132],"under":[133],"null":[135],"hypothesis.":[136],"order":[138],"large":[144],"scale":[145],"networks,":[146],"develop":[148],"scalable":[150],"framework":[151,178],"using":[152],"sampling":[154],"strategies.":[155],"complexity":[157],"these":[159],"strategies":[160],"is":[161,179],"analyzed.":[162],"Experiments":[163],"real":[165,172],"datasets":[167],"with":[168],"both":[169],"synthetic":[170],"demonstrate":[174],"that":[175],"proposed":[177],"only":[181],"efficacious,":[182],"but":[183],"also":[184],"efficient":[185],"scalable.":[187]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}