{"id":"https://openalex.org/W2795903283","doi":"https://doi.org/10.1093/comjnl/bxy040","title":"Discriminative Distance-Based Network Indices with Application to Link Prediction","display_name":"Discriminative Distance-Based Network Indices with Application to Link Prediction","publication_year":2018,"publication_date":"2018-04-06","ids":{"openalex":"https://openalex.org/W2795903283","doi":"https://doi.org/10.1093/comjnl/bxy040","mag":"2795903283"},"language":"en","primary_location":{"id":"doi:10.1093/comjnl/bxy040","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxy040","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1703.06227","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049221896","display_name":"Mostafa Haghir Chehreghani","orcid":"https://orcid.org/0000-0003-3436-0541"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Mostafa Haghir Chehreghani","raw_affiliation_strings":["LTCI, T\u00e9l\u00e9com ParisTech, Universit\u00e9 Paris-Saclay, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LTCI, T\u00e9l\u00e9com ParisTech, Universit\u00e9 Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I277688954","https://openalex.org/I4210165912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080970505","display_name":"Albert Bifet","orcid":"https://orcid.org/0000-0002-8339-7773"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Albert Bifet","raw_affiliation_strings":["LTCI, T\u00e9l\u00e9com ParisTech, Universit\u00e9 Paris-Saclay, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LTCI, T\u00e9l\u00e9com ParisTech, Universit\u00e9 Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I277688954","https://openalex.org/I4210165912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035427105","display_name":"Talel Abdessalem","orcid":null},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Talel Abdessalem","raw_affiliation_strings":["LTCI, T\u00e9l\u00e9com ParisTech, Universit\u00e9 Paris-Saclay, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LTCI, T\u00e9l\u00e9com ParisTech, Universit\u00e9 Paris-Saclay, Paris, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I277688954","https://openalex.org/I4210165912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049221896"],"corresponding_institution_ids":["https://openalex.org/I12356871","https://openalex.org/I277688954","https://openalex.org/I4210165912"],"apc_list":{"value":2635,"currency":"GBP","value_usd":3232},"apc_paid":null,"fwci":0.6528,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.66265518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"61","issue":"7","first_page":"998","last_page":"1014"},"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9757000207901001,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11476","display_name":"Graph theory and applications","score":0.9704999923706055,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8912452459335327},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6786049008369446},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.5608690977096558},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.44875088334083557},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.44425278902053833},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.43278664350509644},{"id":"https://openalex.org/keywords/path-length","display_name":"Path length","score":0.4200100898742676},{"id":"https://openalex.org/keywords/eccentricity","display_name":"Eccentricity (behavior)","score":0.4128149151802063},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4096679389476776},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3980983793735504},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3836967945098877},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3805556893348694},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35994136333465576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35888874530792236},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16718214750289917},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.09893161058425903}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8912452459335327},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6786049008369446},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.5608690977096558},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.44875088334083557},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.44425278902053833},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.43278664350509644},{"id":"https://openalex.org/C129045301","wikidata":"https://www.wikidata.org/wiki/Q7144654","display_name":"Path length","level":2,"score":0.4200100898742676},{"id":"https://openalex.org/C190538878","wikidata":"https://www.wikidata.org/wiki/Q50013","display_name":"Eccentricity (behavior)","level":2,"score":0.4128149151802063},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4096679389476776},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3980983793735504},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3836967945098877},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3805556893348694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35994136333465576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35888874530792236},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16718214750289917},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.09893161058425903},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1093/comjnl/bxy040","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxy040","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1703.06227","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.06227","pdf_url":"https://arxiv.org/pdf/1703.06227","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:HAL:hal-02287954v1","is_oa":false,"landing_page_url":"https://telecom-paris.hal.science/hal-02287954","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"The Computer Journal, 2018, 61 (7), pp.998-1014. ⟨10.1093/comjnl/bxy040⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1703.06227","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.06227","pdf_url":"https://arxiv.org/pdf/1703.06227","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W32321657","https://openalex.org/W950821216","https://openalex.org/W1556758605","https://openalex.org/W1956559956","https://openalex.org/W1979104937","https://openalex.org/W1987012313","https://openalex.org/W1996014455","https://openalex.org/W2006423444","https://openalex.org/W2018400743","https://openalex.org/W2020889234","https://openalex.org/W2026417691","https://openalex.org/W2030470432","https://openalex.org/W2037933327","https://openalex.org/W2038721957","https://openalex.org/W2051813074","https://openalex.org/W2064247357","https://openalex.org/W2070017344","https://openalex.org/W2075862701","https://openalex.org/W2085630237","https://openalex.org/W2090047649","https://openalex.org/W2099970772","https://openalex.org/W2103012681","https://openalex.org/W2106474670","https://openalex.org/W2108341980","https://openalex.org/W2112090702","https://openalex.org/W2112208919","https://openalex.org/W2112615110","https://openalex.org/W2145845082","https://openalex.org/W2146591355","https://openalex.org/W2148606196","https://openalex.org/W2150102617","https://openalex.org/W2154454189","https://openalex.org/W2157635833","https://openalex.org/W2169528473","https://openalex.org/W2325227998","https://openalex.org/W2334985879","https://openalex.org/W2346326891","https://openalex.org/W2417010772","https://openalex.org/W2556799122","https://openalex.org/W2564084673","https://openalex.org/W2567974767","https://openalex.org/W2612663217","https://openalex.org/W2613403349","https://openalex.org/W2618370510","https://openalex.org/W2766767083","https://openalex.org/W2769133055","https://openalex.org/W2770340697","https://openalex.org/W2798588639","https://openalex.org/W3100447784","https://openalex.org/W4213311856","https://openalex.org/W4232932184","https://openalex.org/W4233413206","https://openalex.org/W4235505822","https://openalex.org/W4246941204","https://openalex.org/W6601306153","https://openalex.org/W6681875376","https://openalex.org/W6716425387","https://openalex.org/W6745603922","https://openalex.org/W6745917427"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W2898676476","https://openalex.org/W2102269193","https://openalex.org/W1602184149","https://openalex.org/W4225279627","https://openalex.org/W2776102956","https://openalex.org/W1128195214","https://openalex.org/W569048669","https://openalex.org/W2363632570"],"abstract_inverted_index":{"In":[0,85],"distance-based":[1,114],"network":[2],"indices,":[3,143],"the":[4,12,41,47,61,70,78,97,106,126,141,200],"distance":[5,62,93,214],"between":[6,17,63,83],"two":[7,64],"vertices":[8,37,65,218],"is":[9,24,28],"measured":[10],"by":[11,131,189],"length":[13,71,98,165],"of":[14,21,36,49,72,80,99,108,125],"shortest":[15,73,81,100,109],"paths":[16,74,82,101],"them.":[18,84],"A":[19],"shortcoming":[20],"this":[22,86,197],"measure":[23],"that":[25,111,138,154,177,211],"when":[26],"it":[27],"used":[29],"in":[30,58,226],"real-world":[31,178],"networks,":[32],"a":[33,91,182,190,206,224],"huge":[34],"number":[35,79,107],"may":[38],"have":[39,146,180],"exactly":[40],"same":[42],"closeness/eccentricity":[43],"scores.":[44],"This":[45],"restricts":[46],"applicability":[48],"these":[50],"indices":[51,145],"as":[52,199],"they":[53],"cannot":[54],"distinguish":[55],"vertices.":[56],"Furthermore,":[57],"many":[59],"applications,":[60],"not":[66],"only":[67,171],"depends":[68],"on":[69,77],"but":[75],"also":[76],"paper,":[87],"first":[88,136],"we":[89,135,152,175,204],"develop":[90],"new":[92],"measure,":[94],"proportional":[95,104],"to":[96,105,196,215,222],"and":[102,120,166,228],"inversely":[103],"paths,":[110],"yields":[112],"discriminative":[113,128,144,163,168,185,213],"centrality":[115],"indices.":[116,129],"We":[117,194],"present":[118,205],"exact":[119],"randomized":[121,156],"algorithms":[122,157],"for":[123],"computation":[124],"proposed":[127],"Then,":[130,151,174],"performing":[132],"extensive":[133],"experiments,":[134],"show":[137,153,176,229],"compared":[139],"with":[140],"traditional":[142],"usually":[147,181],"much":[148],"more":[149,220],"discriminability.":[150],"our":[155],"can":[158],"very":[159],"precisely":[160],"estimate":[161],"average":[162,167,184],"path":[164,186],"eccentricity,":[169],"using":[170],"few":[172],"samples.":[173],"networks":[179],"tiny":[183],"length,":[187],"bounded":[188],"constant":[191],"(e.g.":[192],"2).":[193],"refer":[195],"property":[198],"tiny-world":[201],"property.":[202],"Finally,":[203],"novel":[207],"link":[208,225],"prediction":[209],"method":[210],"uses":[212],"decide":[216],"which":[217],"are":[219],"likely":[221],"form":[223],"future,":[227],"its":[230],"superior":[231],"performance.":[232]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}