{"id":"https://openalex.org/W3156406823","doi":"https://doi.org/10.1109/tsmc.2020.3034485","title":"Cost-Aware Deployment of Check-In Nodes in Complex Networks","display_name":"Cost-Aware Deployment of Check-In Nodes in Complex Networks","publication_year":2021,"publication_date":"2021-04-13","ids":{"openalex":"https://openalex.org/W3156406823","doi":"https://doi.org/10.1109/tsmc.2020.3034485","mag":"3156406823"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2020.3034485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2020.3034485","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","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/A5023961687","display_name":"Yiguang Bai","orcid":"https://orcid.org/0000-0001-7658-934X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiguang Bai","raw_affiliation_strings":["School of Mathematics and Statistics, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045137489","display_name":"Sanyang Liu","orcid":"https://orcid.org/0000-0002-3625-3398"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sanyang Liu","raw_affiliation_strings":["School of Mathematics and Statistics, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340537","display_name":"Qian Li","orcid":"https://orcid.org/0000-0001-7420-2594"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Li","raw_affiliation_strings":["School of Mathematics and Statistics, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101561039","display_name":"Jing Yuan","orcid":"https://orcid.org/0000-0002-3548-5875"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yuan","raw_affiliation_strings":["School of Mathematics and Statistics, Xidian University, Xi’an, China","Academy of Advanced Interdisciplinary Research (AAIR), Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Academy of Advanced Interdisciplinary Research (AAIR), Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023961687"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.5778,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.83115568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"52","issue":"6","first_page":"3378","last_page":"3390"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7564192414283752},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6230897903442383},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.49903345108032227},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.49377045035362244},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3768022954463959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23604589700698853},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2236359417438507},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1393212378025055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7564192414283752},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6230897903442383},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.49903345108032227},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.49377045035362244},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3768022954463959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23604589700698853},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2236359417438507},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1393212378025055},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2020.3034485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2020.3034485","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G4939259636","display_name":null,"funder_award_id":"61877046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5678807323","display_name":null,"funder_award_id":"61877047","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/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W131619556","https://openalex.org/W1778513012","https://openalex.org/W1966811233","https://openalex.org/W1969665089","https://openalex.org/W1971421925","https://openalex.org/W2008620264","https://openalex.org/W2013307517","https://openalex.org/W2015953751","https://openalex.org/W2055349318","https://openalex.org/W2062420311","https://openalex.org/W2080700912","https://openalex.org/W2094234423","https://openalex.org/W2095643106","https://openalex.org/W2108614537","https://openalex.org/W2121035174","https://openalex.org/W2124637492","https://openalex.org/W2141925838","https://openalex.org/W2148289277","https://openalex.org/W2148606196","https://openalex.org/W2150053592","https://openalex.org/W2152284345","https://openalex.org/W2470757901","https://openalex.org/W2471190594","https://openalex.org/W2482661504","https://openalex.org/W2553961969","https://openalex.org/W2575152585","https://openalex.org/W2746696930","https://openalex.org/W2747250121","https://openalex.org/W2748206084","https://openalex.org/W2769157493","https://openalex.org/W2782195772","https://openalex.org/W2792824988","https://openalex.org/W2792990871","https://openalex.org/W2801065096","https://openalex.org/W2890498216","https://openalex.org/W2900216709","https://openalex.org/W2941251700","https://openalex.org/W2963417420","https://openalex.org/W3000238994","https://openalex.org/W3000745556","https://openalex.org/W3021285574","https://openalex.org/W3103657871","https://openalex.org/W3142570770","https://openalex.org/W4205585032","https://openalex.org/W4233208878","https://openalex.org/W4300550233","https://openalex.org/W6683180375"],"related_works":["https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2899084033","https://openalex.org/W2778153218","https://openalex.org/W2748952813","https://openalex.org/W1531601525","https://openalex.org/W2389640906","https://openalex.org/W4312077400"],"abstract_inverted_index":{"It":[0],"is":[1,60,203],"challenging":[2],"to":[3,14,170,181,205],"deploy":[4],"check-in":[5,17,43,56,109],"nodes":[6,44,57,110],"optimally":[7],"in":[8,26,134,154],"a":[9,101,171,192],"complex":[10],"network":[11,221],"so":[12],"as":[13],"perform":[15],"specific":[16],"like":[18],"services,":[19],"e.g.,":[20],"fuel":[21],"supplements":[22],"etc.,":[23],"but":[24,68],"crucial":[25,142],"many":[27],"real-world":[28,65,227],"applications.":[29],"In":[30],"this":[31,93],"article,":[32],"we":[33,163],"propose":[34],"and":[35,90,124,148,177,189,197,210,222,225,254,263,265],"study":[36,178],"the":[37,46,50,54,74,83,95,115,118,141,151,156,165,183,200,235,240],"new":[38,75,137,166],"optimization":[39,98,158],"problem":[40,51,159],"of":[41,52,61,104,117,122,136,145,160,175,187,199,260],"placing":[42],"with":[45,256],"minimum":[47],"cost,":[48],"i.e.,":[49,87,219],"finding":[53],"minimum-cost":[55],"(MCCN),":[58],"which":[59,112,139],"great":[62],"interests":[63],"for":[64,107],"application":[66],"situations,":[67],"even":[69],"more":[70,172],"difficult.":[71],"We":[72,126,244],"motivate":[73],"algorithms":[76,99,202,237,250],"through":[77],"three":[78],"typical":[79,231],"worse":[80,120,143,185],"cases":[81,121,186],"by":[82],"often-used":[84],"greedy-type":[85],"algorithms,":[86,138],"One-to-Many,":[88],"Many-to-One,":[89],"Duplicate-Overrides.":[91],"With":[92],"respect,":[94],"proposed":[96,201,236,249],"novel":[97,102],"utilize":[100],"metric":[103,169],"contribution":[105,167],"density":[106,168],"selecting":[108],"iteratively,":[111],"successfully":[113],"avoid":[114],"occurrence":[116],"two":[119,184,215,230],"One-to-Many":[123,188],"Many-to-One.":[125],"also":[127,245],"introduce":[128],"an":[129],"extra":[130],"backward":[131],"extraction":[132],"step":[133],"one":[135],"overcomes":[140],"case":[144],"\u201cduplicate":[146],"overrides\u201d":[147],"largely":[149],"improves":[150],"algorithmic":[152],"performance":[153,198],"solving":[155],"introduced":[157],"MCCN.":[161],"Meanwhile,":[162],"extend":[164],"general":[173],"class":[174],"functions":[176],"their":[179,207],"effectiveness":[180],"eliminate":[182],"Many-to-One;":[190],"also,":[191],"detailed":[193],"analysis":[194],"on":[195],"complexity":[196],"presented":[204],"show":[206,234],"numerical":[208],"efficiency":[209],"accuracy.":[211],"Extensive":[212],"experiments":[213],"over":[214],"classical":[216],"artificial":[217],"networks,":[218,228],"BA":[220],"ER":[223],"network,":[224],"ten":[226],"under":[229],"cost":[232,262],"setups,":[233],"significantly":[238],"outperform":[239],"four":[241],"state-of-the-art":[242],"algorithms.":[243],"demonstrate":[246],"that":[247],"our":[248],"are":[251],"much":[252],"reliable":[253],"robust":[255],"different":[257],"experiment":[258],"settings":[259],"deployment":[261],"network-type":[264],"scale.":[266]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}