{"id":"https://openalex.org/W2159111908","doi":"https://doi.org/10.2172/887253","title":"Temporal analysis of social networks using three-way DEDICOM.","display_name":"Temporal analysis of social networks using three-way DEDICOM.","publication_year":2006,"publication_date":"2006-06-01","ids":{"openalex":"https://openalex.org/W2159111908","doi":"https://doi.org/10.2172/887253","mag":"2159111908"},"language":"en","primary_location":{"id":"doi:10.2172/887253","doi":"https://doi.org/10.2172/887253","is_oa":false,"landing_page_url":"https://doi.org/10.2172/887253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sandia National Laboratories (SNL)","raw_type":"report"},"volume":null,"type":"report","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/servlets/purl/887253","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110127240","display_name":"Brett W. Bader","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brett Bader","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049816685","display_name":"Richard A. Harshman","orcid":"https://orcid.org/0000-0001-9171-5906","observed_orcids":["https://orcid.org/0000-0001-9171-5906"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Richard Harshman","raw_affiliation_strings":["University of Ontario, London, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ontario, London, Ontario, Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039127251","display_name":"Tamara G. Kolda","orcid":"https://orcid.org/0000-0003-4176-2493","observed_orcids":["https://orcid.org/0000-0003-4176-2493"]},"institutions":[{"id":"https://openalex.org/I192454743","display_name":"Sandia National Laboratories California","ror":"https://ror.org/058m7ey48","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I192454743","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tamara Kolda","raw_affiliation_strings":["Sandia National Laboratories, Livermore, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories, Livermore, CA","institution_ids":["https://openalex.org/I192454743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":41,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.7929999828338623,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.7929999828338623,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.1046999990940094,"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/T10057","display_name":"Face and Expression Recognition","score":0.007000000216066837,"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/asymmetric-relations","display_name":"asymmetric relations","score":0.6480000019073486},{"id":"https://openalex.org/keywords/directed-graphs","display_name":"directed graphs","score":0.7400000095367432},{"id":"https://openalex.org/keywords/adjacency-tensor","display_name":"adjacency tensor","score":0.6600000262260437},{"id":"https://openalex.org/keywords/semantic-networks","display_name":"semantic networks","score":0.6690000295639038},{"id":"https://openalex.org/keywords/dynamic-networks","display_name":"dynamic networks","score":0.6380000114440918},{"id":"https://openalex.org/keywords/data-sparsity","display_name":"data sparsity","score":0.6460000276565552},{"id":"https://openalex.org/keywords/enron-email-corpus","display_name":"Enron email corpus","score":0.7940000295639038},{"id":"https://openalex.org/keywords/latent-components","display_name":"latent components","score":0.5379999876022339},{"id":"https://openalex.org/keywords/information-flow","display_name":"information flow","score":0.34299999475479126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6884090900421143},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.6390475630760193},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.6080577969551086},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6027445197105408},{"id":"https://openalex.org/C2777021972","wikidata":"https://www.wikidata.org/wiki/Q22976830","display_name":"Uniqueness","level":2,"score":0.5949496030807495},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.5915354490280151},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5444433093070984},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5068348050117493},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48749876022338867},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.452343612909317},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4144812822341919},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35662105679512024},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2948111891746521},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2500844895839691},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22937503457069397},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.2172/887253","doi":"https://doi.org/10.2172/887253","is_oa":false,"landing_page_url":"https://doi.org/10.2172/887253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sandia National Laboratories (SNL)","raw_type":"report"},{"id":"pmh:oai:osti.gov:887253","doi":null,"is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/887253","pdf_url":"https://www.osti.gov/servlets/purl/887253","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null},{"id":"pmh:info:ark/67531/metadc885457","doi":null,"is_oa":false,"landing_page_url":"https://digital.library.unt.edu/ark:/67531/metadc885457/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400792","display_name":"University of North Texas Digital Library (University of North Texas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I123534392","host_organization_name":"University of North Texas","host_organization_lineage":["https://openalex.org/I123534392"],"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":"Report"}],"best_oa_location":{"id":"pmh:oai:osti.gov:887253","doi":null,"is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/887253","pdf_url":"https://www.osti.gov/servlets/purl/887253","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320338291","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2159111908.pdf","grobid_xml":"https://content.openalex.org/works/W2159111908.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W94565353","https://openalex.org/W175854469","https://openalex.org/W1529491458","https://openalex.org/W1848715260","https://openalex.org/W1870083876","https://openalex.org/W1963826206","https://openalex.org/W1966198999","https://openalex.org/W1997320786","https://openalex.org/W2000215628","https://openalex.org/W2005155495","https://openalex.org/W2027559251","https://openalex.org/W2030860221","https://openalex.org/W2039750798","https://openalex.org/W2043690777","https://openalex.org/W2068484625","https://openalex.org/W2079196839","https://openalex.org/W2089060529","https://openalex.org/W2089079408","https://openalex.org/W2101815756","https://openalex.org/W2111363262","https://openalex.org/W2113055885","https://openalex.org/W2121739212","https://openalex.org/W2123954592","https://openalex.org/W2140273660","https://openalex.org/W2148507357","https://openalex.org/W2150739536","https://openalex.org/W2171265773"],"related_works":["https://openalex.org/W2161137988","https://openalex.org/W2119101292","https://openalex.org/W2531247750","https://openalex.org/W7098381051","https://openalex.org/W150066486","https://openalex.org/W3006934172","https://openalex.org/W2151613058","https://openalex.org/W2158148216","https://openalex.org/W421899840","https://openalex.org/W6964727736"],"abstract_inverted_index":{"DEDICOM":[0,90,130],"is":[1,91],"an":[2,83,124],"algebraic":[3],"model":[4,97],"for":[5,105,127],"analyzing":[6],"intrinsically":[7],"asymmetric":[8],"relationships,":[9],"such":[10,112],"as":[11,40,113],"the":[12,19,34,45,96,110,117,141,154,184,191],"balance":[13],"of":[14,21,44,86,95,109,119,144,175,186],"trade":[15],"among":[16,23,61,169],"nations":[17],"or":[18,25,42],"flow":[20],"information":[22,29],"organizations":[24],"individuals.":[26],"It":[27,103],"provides":[28],"on":[30,131],"latent":[31],"components":[32],"in":[33,182],"data":[35,133],"that":[36,53,81,98],"can":[37,54],"be":[38,55],"regarded":[39],"''properties''":[41],"''aspects''":[43],"objects,":[46],"and":[47,115,134],"it":[48,136,139],"finds":[49],"a":[50,78,92,106,145,162,173],"few":[51],"patterns":[52,179],"combined":[56],"to":[57,69,140,166],"describe":[58],"many":[59],"relationships":[60],"these":[62],"components.":[63],"When":[64],"we":[65,76,160],"apply":[66],"this":[67],"technique":[68],"adjacency":[70,142],"matrices":[71],"arising":[72],"from":[73,158],"directed":[74],"graphs,":[75],"obtain":[77],"smaller":[79],"graph":[80,147,164],"gives":[82],"idealized":[84],"description":[85],"its":[87],"patterns.":[88],"Three-way":[89],"higher-order":[93],"extension":[94],"has":[99],"certain":[100],"uniqueness":[101],"properties.":[102],"allows":[104],"third":[107],"mode":[108],"data,":[111],"time,":[114],"permits":[116],"analysis":[118],"semantic":[120,146,163],"graphs.":[121],"We":[122],"present":[123],"improved":[125],"algorithm":[126],"computing":[128],"three-way":[129],"sparse":[132],"demonstrate":[135],"by":[137],"applying":[138],"tensor":[143],"with":[148],"time-labeled":[149],"edges.":[150],"Our":[151],"application":[152],"uses":[153],"Enron":[155,170],"email":[156,167],"corpus,":[157],"which":[159,183],"construct":[161],"corresponding":[165],"exchanges":[168],"personnel":[171],"over":[172],"series":[174],"44":[176],"months.":[177],"Meaningful":[178],"are":[180],"recovered":[181],"representation":[185],"asymmetries":[187],"adds":[188],"insight":[189],"into":[190],"social":[192],"networks":[193],"at":[194],"Enron.":[195]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":5}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}
