{"id":"https://openalex.org/W3196249578","doi":"https://doi.org/10.1007/s13278-021-00787-3","title":"Supervised temporal link prediction in large-scale real-world networks","display_name":"Supervised temporal link prediction in large-scale real-world networks","publication_year":2021,"publication_date":"2021-08-24","ids":{"openalex":"https://openalex.org/W3196249578","doi":"https://doi.org/10.1007/s13278-021-00787-3","mag":"3196249578"},"language":"en","primary_location":{"id":"doi:10.1007/s13278-021-00787-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13278-021-00787-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13278-021-00787-3.pdf","source":{"id":"https://openalex.org/S2764891196","display_name":"Social Network Analysis and Mining","issn_l":"1869-5450","issn":["1869-5450","1869-5469"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Social Network Analysis and Mining","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s13278-021-00787-3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090879218","display_name":"Gerrit Jan de Bruin","orcid":"https://orcid.org/0000-0003-4936-879X"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Gerrit Jan de Bruin","raw_affiliation_strings":["Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-4936-879X","affiliations":[{"raw_affiliation_string":"Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013179642","display_name":"Cor J. Veenman","orcid":"https://orcid.org/0000-0002-2645-1198"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]},{"id":"https://openalex.org/I148297040","display_name":"Netherlands Organisation for Applied Scientific Research","ror":"https://ror.org/01bnjb948","country_code":"NL","type":"nonprofit","lineage":["https://openalex.org/I148297040"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Cor J. Veenman","raw_affiliation_strings":["Data Science Department, TNO, The Hague, The Netherlands","Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Department, TNO, The Hague, The Netherlands","institution_ids":["https://openalex.org/I148297040"]},{"raw_affiliation_string":"Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054345881","display_name":"H.J. van den Herik","orcid":"https://orcid.org/0000-0001-9751-761X"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"H. Jaap van den Herik","raw_affiliation_strings":["Leiden Centre of Data Science, Leiden University, Leiden, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leiden Centre of Data Science, Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032475130","display_name":"Frank W. Takes","orcid":"https://orcid.org/0000-0001-5468-1030"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Frank W. Takes","raw_affiliation_strings":["Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090879218"],"corresponding_institution_ids":["https://openalex.org/I121797337"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.7876,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.71643363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9976000189781189,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.7520492076873779},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.7176281809806824},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.6719355583190918},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5748950242996216},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5335009694099426},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5175542235374451},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.496025413274765},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4397718012332916},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4174308180809021},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.41575825214385986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40738382935523987},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3452449440956116}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7520492076873779},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.7176281809806824},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.6719355583190918},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5748950242996216},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5335009694099426},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5175542235374451},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.496025413274765},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4397718012332916},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4174308180809021},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.41575825214385986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40738382935523987},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3452449440956116},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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":3,"locations":[{"id":"doi:10.1007/s13278-021-00787-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13278-021-00787-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13278-021-00787-3.pdf","source":{"id":"https://openalex.org/S2764891196","display_name":"Social Network Analysis and Mining","issn_l":"1869-5450","issn":["1869-5450","1869-5469"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Social Network Analysis and Mining","raw_type":"journal-article"},{"id":"pmh:oai:scholarlypublications.universiteitleiden.nl:item_3263568","is_oa":true,"landing_page_url":"https://github.com/gerritjandebruin/snam2021-code","pdf_url":null,"source":{"id":"https://openalex.org/S4306400850","display_name":"Leiden Repository (Leiden University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I121797337","host_organization_name":"Leiden University","host_organization_lineage":["https://openalex.org/I121797337"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Social Network Analysis and Mining","raw_type":"Article / Letter to editor"},{"id":"pmh:ul:oai:scholarlypublications.universiteitleiden.nl:item_3263568","is_oa":true,"landing_page_url":"http://hdl.handle.net/1887/3263568","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Social Network Analysis and Mining, 11","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s13278-021-00787-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13278-021-00787-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13278-021-00787-3.pdf","source":{"id":"https://openalex.org/S2764891196","display_name":"Social Network Analysis and Mining","issn_l":"1869-5450","issn":["1869-5450","1869-5469"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Social Network Analysis and Mining","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320329609","display_name":"Ministry of Infrastructure and Water Management","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3196249578.pdf","grobid_xml":"https://content.openalex.org/works/W3196249578.grobid-xml"},"referenced_works_count":72,"referenced_works":["https://openalex.org/W114534726","https://openalex.org/W131619556","https://openalex.org/W1503428008","https://openalex.org/W1559028681","https://openalex.org/W1560267311","https://openalex.org/W1570131048","https://openalex.org/W1603920809","https://openalex.org/W1663973292","https://openalex.org/W1970463918","https://openalex.org/W1972145684","https://openalex.org/W1972309850","https://openalex.org/W1979104937","https://openalex.org/W1983685710","https://openalex.org/W2003707464","https://openalex.org/W2009130514","https://openalex.org/W2021579368","https://openalex.org/W2031063730","https://openalex.org/W2032553509","https://openalex.org/W2037933327","https://openalex.org/W2040956707","https://openalex.org/W2055551209","https://openalex.org/W2069226532","https://openalex.org/W2101234009","https://openalex.org/W2103306960","https://openalex.org/W2106723737","https://openalex.org/W2108614537","https://openalex.org/W2109026675","https://openalex.org/W2120476697","https://openalex.org/W2132022337","https://openalex.org/W2136583165","https://openalex.org/W2143551222","https://openalex.org/W2143813994","https://openalex.org/W2153204928","https://openalex.org/W2154177180","https://openalex.org/W2154454189","https://openalex.org/W2154851992","https://openalex.org/W2238639262","https://openalex.org/W2295598076","https://openalex.org/W2543954993","https://openalex.org/W2553679701","https://openalex.org/W2562676961","https://openalex.org/W2585835859","https://openalex.org/W2741796212","https://openalex.org/W2743418339","https://openalex.org/W2750783640","https://openalex.org/W2755088640","https://openalex.org/W2755092149","https://openalex.org/W2767544505","https://openalex.org/W2778796877","https://openalex.org/W2788708648","https://openalex.org/W2803728581","https://openalex.org/W2809195697","https://openalex.org/W2908138230","https://openalex.org/W2962756421","https://openalex.org/W2969194307","https://openalex.org/W2990787060","https://openalex.org/W2998018785","https://openalex.org/W3003257820","https://openalex.org/W3004621088","https://openalex.org/W3036783154","https://openalex.org/W3083421733","https://openalex.org/W3100079817","https://openalex.org/W3100346973","https://openalex.org/W3101251439","https://openalex.org/W3101749026","https://openalex.org/W3102476541","https://openalex.org/W3103145119","https://openalex.org/W3104097132","https://openalex.org/W3118589287","https://openalex.org/W3128452405","https://openalex.org/W4232932184","https://openalex.org/W6819490522"],"related_works":["https://openalex.org/W2077212147","https://openalex.org/W2579899204","https://openalex.org/W2574209248","https://openalex.org/W2294686723","https://openalex.org/W2884490506","https://openalex.org/W2483088531","https://openalex.org/W2601871130","https://openalex.org/W2950359320","https://openalex.org/W2112128729","https://openalex.org/W2021084394"],"abstract_inverted_index":{"Abstract":[0],"Link":[1],"prediction":[2,54,66,99,113,127,144,188,209,244],"is":[3,129],"a":[4,20,59,78,102,151,180,271],"well-studied":[5],"technique":[6],"for":[7],"inferring":[8],"the":[9,27,85,95,111,156,194,197,201,204,207,214,219,224,231,256,262,267,275,278],"missing":[10],"edges":[11],"between":[12,40,87,158],"two":[13],"nodes":[14,80],"in":[15,110,141,179,184,238,249],"some":[16],"static":[17],"representation":[18],"of":[19,51,62,91,104,126,196,200,258,274,280],"network.":[21],"In":[22,44,223],"modern":[23],"day":[24],"social":[25],"networks,":[26,48,227,251],"timestamps":[28],"associated":[29],"with":[30],"each":[31,92],"link":[32,53,65,98,112,143,187,208,243],"can":[33,245],"be":[34,247],"used":[35,109],"to":[36,77,154,270],"predict":[37],"future":[38],"links":[39],"so-far":[41],"unconnected":[42],"nodes.":[43],"these":[45],"so-called":[46],"temporal":[47,52,64,97,122,142,198,228,250,263],"we":[49,149,191],"speak":[50],".":[55],"This":[56],"paper":[57,240],"presents":[58],"systematic":[60,181],"investigation":[61],"supervised":[63],"on":[67,117,175,193,206,218,230],"26":[68],"temporal,":[69],"structurally":[70],"diverse,":[71],"real-world":[72],"networks":[73,138,159,164],"ranging":[74],"from":[75],"thousands":[76],"million":[79],"and":[81,94,163,211],"links.":[82],"We":[83,115],"analyse":[84],"relation":[86],"global":[88],"structural":[89],"properties":[90],"network":[93,221],"obtained":[96],"performance,":[100,210],"employing":[101],"set":[103],"well-established":[105],"topological":[106],"features":[107],"commonly":[108],"literature.":[114],"report":[116,192],"four":[118],"contributions.":[119],"First,":[120],"using":[121],"information,":[123],"an":[124],"improvement":[125],"performance":[128,215],"observed.":[130],"Second,":[131],"our":[132,171],"experiments":[133],"show":[134,212],"that":[135,213],"degree":[136],"disassortative":[137],"perform":[139],"better":[140,272],"than":[145],"assortative":[146],"networks.":[147,281],"Third,":[148],"present":[150],"new":[152],"approach":[153,172],"investigate":[155],"distinction":[157],"modelling":[160,165],"discrete":[161],"events":[162,178],"persistent":[166],"relations.":[167],"Unlike":[168],"earlier":[169],"work,":[170],"utilises":[173],"information":[174,226,229],"all":[176],"past":[177],"way,":[182],"resulting":[183],"substantially":[185],"higher":[186],"performance.":[189],"Fourth,":[190],"influence":[195],"activity":[199],"node":[202,232],"or":[203],"edge":[205],"differs":[216],"depending":[217],"considered":[220],"type.":[222],"studied":[225],"appears":[233],"most":[234],"important.":[235],"The":[236],"findings":[237,268],"this":[239],"demonstrate":[241],"how":[242],"effectively":[246],"improved":[248],"explicitly":[252],"taking":[253],"into":[254],"account":[255],"type":[257],"connectivity":[259],"modelled":[260],"by":[261],"edge.":[264],"More":[265],"generally,":[266],"contribute":[269],"understanding":[273],"mechanisms":[276],"behind":[277],"evolution":[279]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2021-08-30T00:00:00"}
