{"id":"https://openalex.org/W3202653899","doi":"https://doi.org/10.1109/case49439.2021.9551459","title":"Learning to Rank High Closeness Centrality Nodes in a Given Network based on RankNet Method","display_name":"Learning to Rank High Closeness Centrality Nodes in a Given Network based on RankNet Method","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3202653899","doi":"https://doi.org/10.1109/case49439.2021.9551459","mag":"3202653899"},"language":"en","primary_location":{"id":"doi:10.1109/case49439.2021.9551459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case49439.2021.9551459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100402144","display_name":"Yu Chen","orcid":"https://orcid.org/0009-0001-9657-197X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Chen","raw_affiliation_strings":["Department of Industrial Engineering & Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering & Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008471674","display_name":"Zilong Zhuang","orcid":"https://orcid.org/0000-0002-3396-2842"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zilong Zhuang","raw_affiliation_strings":["Department of Industrial Engineering & Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering & Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054830882","display_name":"Wei Qin","orcid":"https://orcid.org/0000-0002-8527-0354"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Qin","raw_affiliation_strings":["Department of Industrial Engineering & Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering & Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1695","last_page":"1700"},"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9969000220298767,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.9434522390365601},{"id":"https://openalex.org/keywords/closeness","display_name":"Closeness","score":0.8538528680801392},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7301619052886963},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6194798350334167},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6043738126754761},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5919026732444763},{"id":"https://openalex.org/keywords/betweenness-centrality","display_name":"Betweenness centrality","score":0.4568330943584442},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45549875497817993},{"id":"https://openalex.org/keywords/network-controllability","display_name":"Network controllability","score":0.4408773183822632},{"id":"https://openalex.org/keywords/network-theory","display_name":"Network theory","score":0.41737234592437744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3732926547527313},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34914299845695496},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3276013135910034},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12389808893203735},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07801413536071777}],"concepts":[{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.9434522390365601},{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.8538528680801392},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7301619052886963},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6194798350334167},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6043738126754761},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5919026732444763},{"id":"https://openalex.org/C117045392","wikidata":"https://www.wikidata.org/wiki/Q4899215","display_name":"Betweenness centrality","level":3,"score":0.4568330943584442},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45549875497817993},{"id":"https://openalex.org/C41982775","wikidata":"https://www.wikidata.org/wiki/Q7000977","display_name":"Network controllability","level":4,"score":0.4408773183822632},{"id":"https://openalex.org/C11804174","wikidata":"https://www.wikidata.org/wiki/Q1192971","display_name":"Network theory","level":2,"score":0.41737234592437744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3732926547527313},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34914299845695496},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3276013135910034},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12389808893203735},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07801413536071777},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case49439.2021.9551459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case49439.2021.9551459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G4571638063","display_name":null,"funder_award_id":"2019YFB1704401","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4664745142","display_name":null,"funder_award_id":"51775348","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1664982437","https://openalex.org/W1997310799","https://openalex.org/W2128877075","https://openalex.org/W2133131640","https://openalex.org/W2143331230","https://openalex.org/W2164554457","https://openalex.org/W2554794456","https://openalex.org/W2769425100","https://openalex.org/W2983010557","https://openalex.org/W2987360131","https://openalex.org/W2988119488","https://openalex.org/W3040437829","https://openalex.org/W3124313466","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2611574733","https://openalex.org/W2613820460","https://openalex.org/W3174053386","https://openalex.org/W2947501077","https://openalex.org/W4312461432","https://openalex.org/W1848393892","https://openalex.org/W4287647061","https://openalex.org/W3091744143","https://openalex.org/W3077030258","https://openalex.org/W2965490984"],"abstract_inverted_index":{"Identifying":[0],"nodes":[1,98,107],"with":[2],"location":[3],"advantage":[4],"in":[5,99,147],"large-scale":[6],"networks":[7,70],"is":[8,45,65],"crucial":[9],"to":[10,72,128,131],"the":[11,24,27,32,59,93,133,143],"decision":[12],"making":[13],"of":[14,26,34,62,88,96,106],"spatial":[15],"strategic":[16],"deployment.":[17],"Many":[18],"intelligent":[19],"decisions":[20],"can":[21],"benefit":[22],"from":[23],"discovery":[25],"most":[28],"central":[29,54],"nodes,":[30],"including":[31],"planning":[33],"airline":[35],"hub,":[36],"transport":[37],"hub":[38],"and":[39,113,152],"regional":[40],"logistics":[41],"hub.":[42],"Closeness":[43],"centrality":[44,50,64,95],"a":[46,55,82,100,124],"widely":[47],"used":[48,109,118],"node":[49,56],"metric":[51],"measuring":[52],"how":[53],"is.":[57],"However,":[58],"exact":[60],"calculation":[61],"closeness":[63,89,94],"not":[66],"feasible":[67],"for":[68,85],"large":[69,153],"due":[71],"its":[73],"high":[74],"computational":[75],"complexity.":[76],"In":[77],"this":[78],"paper,":[79],"we":[80],"propose":[81],"new":[83],"approach":[84],"fast":[86],"estimation":[87],"rank":[90,129],"without":[91],"calculating":[92],"all":[97],"given":[101],"network.":[102],"A":[103],"small":[104],"number":[105],"are":[108,117],"as":[110,119],"training":[111],"samples":[112],"several":[114],"low-complexity":[115],"metrics":[116],"input":[120],"features.":[121],"We":[122],"apply":[123],"neural":[125],"network-based":[126],"learning":[127],"method":[130],"train":[132],"model.":[134],"Experimental":[135],"results":[136],"demonstrate":[137],"that":[138],"our":[139],"model":[140,145],"dramatically":[141],"outperforms":[142],"regression":[144],"proposed":[146],"previous":[148],"work":[149],"on":[150],"synthetic":[151],"real-world":[154],"networks.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}