{"id":"https://openalex.org/W2822299149","doi":"https://doi.org/10.1109/noms.2018.8406245","title":"A cost optimized reverse influence maximization in social networks","display_name":"A cost optimized reverse influence maximization in social networks","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2822299149","doi":"https://doi.org/10.1109/noms.2018.8406245","mag":"2822299149"},"language":"en","primary_location":{"id":"doi:10.1109/noms.2018.8406245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms.2018.8406245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","raw_type":"proceedings-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/A5078972500","display_name":"Ashis Talukder","orcid":"https://orcid.org/0000-0003-2991-9136"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ashis Talukder","raw_affiliation_strings":["Department of Computer Engineering, Kyung Hee University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Kyung Hee University, South Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051981813","display_name":"Md. Golam Rabiul Alam","orcid":"https://orcid.org/0000-0002-9054-7557"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Md. Golam Rabiul Alam","raw_affiliation_strings":["Kyung Hee University, Dongdaemun-gu, Seoul, KR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyung Hee University, Dongdaemun-gu, Seoul, KR","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027558961","display_name":"Nguyen H. Tran","orcid":"https://orcid.org/0000-0001-7323-9213"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Nguyen H. Tran","raw_affiliation_strings":["Department of Computer Engineering, Kyung Hee University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Kyung Hee University, South Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034052371","display_name":"Choong Seon Hong","orcid":"https://orcid.org/0000-0003-3484-7333"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Choong Seon Hong","raw_affiliation_strings":["Department of Computer Engineering, Kyung Hee University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Kyung Hee University, South Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":null,"apc_paid":null,"fwci":1.3842,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.814272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"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":1.0,"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":0.9988999962806702,"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":0.97079998254776,"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/maximization","display_name":"Maximization","score":0.8500992059707642},{"id":"https://openalex.org/keywords/viral-marketing","display_name":"Viral marketing","score":0.8111475706100464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.683522641658783},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5216946005821228},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5131223797798157},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49869203567504883},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.4491838216781616},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4434504806995392},{"id":"https://openalex.org/keywords/threshold-model","display_name":"Threshold model","score":0.41042762994766235},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20697012543678284},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17858165502548218},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16318872570991516}],"concepts":[{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.8500992059707642},{"id":"https://openalex.org/C187008535","wikidata":"https://www.wikidata.org/wiki/Q204255","display_name":"Viral marketing","level":3,"score":0.8111475706100464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.683522641658783},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5216946005821228},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5131223797798157},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49869203567504883},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.4491838216781616},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4434504806995392},{"id":"https://openalex.org/C202632270","wikidata":"https://www.wikidata.org/wiki/Q7798106","display_name":"Threshold model","level":2,"score":0.41042762994766235},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20697012543678284},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17858165502548218},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16318872570991516},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"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/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/noms.2018.8406245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms.2018.8406245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W580930857","https://openalex.org/W1554451661","https://openalex.org/W1560267311","https://openalex.org/W1564025607","https://openalex.org/W1567923358","https://openalex.org/W1976533648","https://openalex.org/W1979657701","https://openalex.org/W1980076313","https://openalex.org/W1990570693","https://openalex.org/W2005590507","https://openalex.org/W2006021775","https://openalex.org/W2043281479","https://openalex.org/W2043396212","https://openalex.org/W2047429885","https://openalex.org/W2059816783","https://openalex.org/W2061820396","https://openalex.org/W2090167811","https://openalex.org/W2102920490","https://openalex.org/W2108858998","https://openalex.org/W2141403143","https://openalex.org/W2155461593","https://openalex.org/W2494689244","https://openalex.org/W2585647373","https://openalex.org/W2592596390","https://openalex.org/W2765293089","https://openalex.org/W3099332292","https://openalex.org/W3122282375","https://openalex.org/W6633449523","https://openalex.org/W6683180375","https://openalex.org/W6789462883"],"related_works":["https://openalex.org/W2902193799","https://openalex.org/W2046658895","https://openalex.org/W2269573953","https://openalex.org/W2465338762","https://openalex.org/W2939506735","https://openalex.org/W2770232349","https://openalex.org/W2729460574","https://openalex.org/W2558516130","https://openalex.org/W4289866588","https://openalex.org/W2998073084"],"abstract_inverted_index":{"In":[0,94],"recent":[1],"years,":[2],"Influence":[3,102],"Maximization":[4,103],"(IM)":[5],"has":[6],"gained":[7],"great":[8],"research":[9],"interest":[10],"in":[11,49,86,114,126],"the":[12,28,32,50,72,77,90,108,120,127,133,143,159,167,170,180,184],"field":[13],"of":[14,47,80,169],"social":[15,33,128],"network":[16,51],"research.":[17],"The":[18,111,146,176],"IM":[19],"is":[20,148,155],"a":[21,37,44,100,149],"viral":[22,124],"marketing":[23,125],"based":[24],"approach":[25],"to":[26,88,106,117,141,158,193],"find":[27],"influential":[29],"users":[30],"on":[31,71],"networks.":[34,129],"It":[35],"determines":[36,183],"small":[38],"seed":[39,92],"set":[40],"that":[41,82,179],"can":[42],"activate":[43,89],"maximum":[45],"number":[46,79],"nodes":[48,81],"under":[52],"some":[53],"diffusion":[54],"models":[55],"such":[56],"as":[57,191],"Linear":[58,136,150],"Threshold":[59,137,151],"model":[60,140,153,182],"or":[61],"Independent":[62],"Cascade":[63],"model.":[64,162],"However,":[65],"previous":[66],"works":[67],"have":[68,98,131,165],"not":[69],"focused":[70],"opportunity":[73,109,121,186],"cost":[74,122,187],"defined":[75],"by":[76],"minimum":[78],"must":[83],"be":[84],"motivated":[85],"order":[87],"initial":[91],"nodes.":[93],"this":[95],"work,":[96],"we":[97],"introduced":[99],"Reverse":[101],"(RIM)":[104],"problem":[105],"estimate":[107],"cost.":[110],"RIM,":[112],"working":[113],"opposite":[115],"manner":[116],"IM,":[118],"calculates":[119],"for":[123],"We":[130,163],"proposed":[132,181],"Extended":[134],"Randomized":[135],"RIM":[138,144],"(ERLT-RIM)":[139],"solve":[142],"problem.":[145],"ERLT-RIM":[147],"(LT)-based":[152],"which":[154],"an":[156],"extension":[157],"existing":[160,194],"RLT-RIM":[161],"also":[164],"evaluated":[166],"performance":[168],"algorithm":[171],"using":[172],"three":[173],"real-world":[174],"datasets.":[175],"result":[177],"shows":[178],"optimal":[185],"with":[188],"time":[189],"efficiency":[190],"compared":[192],"models.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":7}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}