{"id":"https://openalex.org/W4412697150","doi":"https://doi.org/10.1007/s10618-025-01137-z","title":"Inductive influence estimation and maximization over unseen social networks under two diffusion models","display_name":"Inductive influence estimation and maximization over unseen social networks under two diffusion models","publication_year":2025,"publication_date":"2025-07-28","ids":{"openalex":"https://openalex.org/W4412697150","doi":"https://doi.org/10.1007/s10618-025-01137-z"},"language":"en","primary_location":{"id":"doi:10.1007/s10618-025-01137-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-025-01137-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-025-01137-z.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"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":"Data Mining and Knowledge Discovery","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/s10618-025-01137-z.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056348914","display_name":"Jihoon Ko","orcid":"https://orcid.org/0000-0002-3223-8318"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I3130020584","display_name":"International Graduate School of English","ror":"https://ror.org/0181xpd52","country_code":"KR","type":"education","lineage":["https://openalex.org/I3130020584"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jihoon Ko","raw_affiliation_strings":["Kim Jaechul Graduate School of AI, KAIST, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Kim Jaechul Graduate School of AI, KAIST, Seoul, South Korea","institution_ids":["https://openalex.org/I3130020584","https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038603816","display_name":"Sojeong Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I3130020584","display_name":"International Graduate School of English","ror":"https://ror.org/0181xpd52","country_code":"KR","type":"education","lineage":["https://openalex.org/I3130020584"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sojeong Kim","raw_affiliation_strings":["Kim Jaechul Graduate School of AI, KAIST, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Kim Jaechul Graduate School of AI, KAIST, Seoul, South Korea","institution_ids":["https://openalex.org/I3130020584","https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044030732","display_name":"Kyuhan Lee","orcid":"https://orcid.org/0000-0002-1029-161X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I3130020584","display_name":"International Graduate School of English","ror":"https://ror.org/0181xpd52","country_code":"KR","type":"education","lineage":["https://openalex.org/I3130020584"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyuhan Lee","raw_affiliation_strings":["Kim Jaechul Graduate School of AI, KAIST, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Kim Jaechul Graduate School of AI, KAIST, Seoul, South Korea","institution_ids":["https://openalex.org/I3130020584","https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027811205","display_name":"Shinhwan Kang","orcid":"https://orcid.org/0000-0001-6434-1347"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I3130020584","display_name":"International Graduate School of English","ror":"https://ror.org/0181xpd52","country_code":"KR","type":"education","lineage":["https://openalex.org/I3130020584"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Shinhwan Kang","raw_affiliation_strings":["Kim Jaechul Graduate School of AI, KAIST, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Kim Jaechul Graduate School of AI, KAIST, Seoul, South Korea","institution_ids":["https://openalex.org/I3130020584","https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104001422","display_name":"Dong-Guk Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I3130020584","display_name":"International Graduate School of English","ror":"https://ror.org/0181xpd52","country_code":"KR","type":"education","lineage":["https://openalex.org/I3130020584"]},{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongyeong Hwang","raw_affiliation_strings":["Kim Jaechul Graduate School of AI, KAIST, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Kim Jaechul Graduate School of AI, KAIST, Seoul, South Korea","institution_ids":["https://openalex.org/I3130020584","https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028609723","display_name":"Kijung Shin","orcid":"https://orcid.org/0000-0002-2872-1526"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I3130020584","display_name":"International Graduate School of English","ror":"https://ror.org/0181xpd52","country_code":"KR","type":"education","lineage":["https://openalex.org/I3130020584"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kijung Shin","raw_affiliation_strings":["Kim Jaechul Graduate School of AI, KAIST, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Kim Jaechul Graduate School of AI, KAIST, Seoul, South Korea","institution_ids":["https://openalex.org/I3130020584","https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067253588","display_name":"Noseong Park","orcid":"https://orcid.org/0000-0002-1268-840X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Noseong Park","raw_affiliation_strings":["School of Computing, KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Computing, KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5067253588"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.4599,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84066458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"39","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9994999766349792,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9994999766349792,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9983999729156494,"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/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.9056000113487244,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.7067403793334961},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.6618528962135315},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6393770575523376},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.5752396583557129},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5061282515525818},{"id":"https://openalex.org/keywords/utility-maximization","display_name":"Utility maximization","score":0.4605177640914917},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.41227757930755615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.381877601146698},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.2447102963924408},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23293474316596985},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23274379968643188},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.16377469897270203},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.1510593295097351},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09373477101325989},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06871175765991211},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.06239780783653259}],"concepts":[{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.7067403793334961},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.6618528962135315},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6393770575523376},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.5752396583557129},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5061282515525818},{"id":"https://openalex.org/C2985793214","wikidata":"https://www.wikidata.org/wiki/Q3274096","display_name":"Utility maximization","level":2,"score":0.4605177640914917},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.41227757930755615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.381877601146698},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.2447102963924408},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23293474316596985},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23274379968643188},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.16377469897270203},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.1510593295097351},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09373477101325989},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06871175765991211},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.06239780783653259},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10618-025-01137-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-025-01137-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-025-01137-z.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"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":"Data Mining and Knowledge Discovery","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10618-025-01137-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-025-01137-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-025-01137-z.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"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":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412697150.pdf","grobid_xml":"https://content.openalex.org/works/W4412697150.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1482680420","https://openalex.org/W1984069252","https://openalex.org/W1990570693","https://openalex.org/W2030378176","https://openalex.org/W2035165116","https://openalex.org/W2042123098","https://openalex.org/W2061820396","https://openalex.org/W2132801025","https://openalex.org/W2144629587","https://openalex.org/W2166470254","https://openalex.org/W2395439732","https://openalex.org/W2396832258","https://openalex.org/W2402355993","https://openalex.org/W2512849486","https://openalex.org/W2535808383","https://openalex.org/W2553303224","https://openalex.org/W2564914645","https://openalex.org/W2769404324","https://openalex.org/W2784320650","https://openalex.org/W2792990871","https://openalex.org/W2809583854","https://openalex.org/W2922429874","https://openalex.org/W2949549477","https://openalex.org/W2952332632","https://openalex.org/W2962773920","https://openalex.org/W3001111845","https://openalex.org/W3002877148","https://openalex.org/W3007021208","https://openalex.org/W3038570070","https://openalex.org/W3088584794","https://openalex.org/W3109783001","https://openalex.org/W3142588439","https://openalex.org/W3161588905","https://openalex.org/W3173978988","https://openalex.org/W3175110359","https://openalex.org/W4226116435","https://openalex.org/W4283800658","https://openalex.org/W4283818575","https://openalex.org/W4286902310","https://openalex.org/W4360982459","https://openalex.org/W4392846106"],"related_works":["https://openalex.org/W1976188970","https://openalex.org/W3121521771","https://openalex.org/W2393902186","https://openalex.org/W4388998647","https://openalex.org/W2267645079","https://openalex.org/W2998073084","https://openalex.org/W2741533395","https://openalex.org/W2889559465","https://openalex.org/W2990541822","https://openalex.org/W4296628518"],"abstract_inverted_index":{"Abstract":[0],"Influence":[1],"estimation":[2],"(IE)":[3],"and":[4,48,66,79,123,140,186,228,238],"influence":[5,35,107,156],"maximization":[6],"(IM)":[7],"are":[8,220],"among":[9],"the":[10,22,34,37,61,106,124,146,235],"most":[11],"extensively":[12],"studied":[13],"problems":[14],"in":[15,112,145,190,226],"social":[16,28,113,141,193],"network":[17],"analysis.":[18],"Assuming":[19],"diffusion":[20,77,117],"(i.e.,":[21,36],"spread":[23],"of":[24,39,46,56,76,108,230],"diseases)":[25],"within":[26],"a":[27,43,53,158],"network,":[29],"IE":[30,65,179,210],"aims":[31,50],"to":[32,51,104,130,137,153,200],"estimate":[33,105,155],"number":[38,55],"infected":[40],"nodes)":[41],"for":[42,81],"given":[44,54,109],"set":[45],"seeds;":[47],"IM":[49,166,213,215,231],"identify":[52],"seed":[57,83],"nodes":[58],"that":[59],"maximize":[60],"influence.":[62],"For":[63,212],"both":[64],"IM,":[67],"widely-adopted":[68],"strategies":[69],"involve":[70],"repeating":[71],"Monte":[72,94],"Carlo":[73,95],"(MC)":[74],"simulations":[75,207],"over":[78,80],"various":[82],"sets,":[84],"which":[85],"is":[86,135,197],"computationally":[87],"expensive.":[88],"In":[89,173],"this":[90],"work,":[91],"we":[92],"present":[93],"Simulator+":[96],"(MONSTOR+),":[97],"an":[98],"inductive":[99,132],"machine":[100],"learning":[101],"method":[102],"designed":[103],"seed-node":[110,138],"sets":[111,139],"networks":[114,142],"under":[115,234],"two":[116],"models\u2014the":[118],"independent":[119],"cascade":[120],"(IC)":[121],"model":[122,237],"linear":[125],"threshold":[126],"(LT)":[127],"model.":[128],"Due":[129],"its":[131,151],"nature,":[133],"MONSTOR+":[134,176,196,219],"applicable":[136],"not":[143],"included":[144],"training":[147],"data.":[148],"MONSTOR+,":[149],"with":[150,208,218],"ability":[152],"accurately":[154],"through":[157],"single":[159],"forward":[160],"pass,":[161],"can":[162],"greatly":[163],"accelerate":[164],"existing":[165],"algorithms":[167,216],"by":[168],"replacing":[169],"repeated":[170,205],"MC":[171,206],"simulations.":[172],"our":[174],"experiments,":[175],"exhibits":[177],"high":[178],"accuracy,":[180],"achieving":[181],"0.955":[182],"or":[183],"higher":[184],"Pearson":[185],"Spearman":[187],"correlation":[188],"coefficients":[189],"unseen":[191],"real-world":[192],"networks.":[194],"Notably,":[195],"about":[198],"5":[199],"3000":[201],"times":[202],"faster":[203],"than":[204,223],"similar":[209],"accuracy.":[211],"problems,":[214],"equipped":[217],"more":[221],"accurate":[222],"state-of-the-art":[224],"competitors":[225],"81.5":[227],"77.8%":[229],"use":[232],"cases":[233],"IC":[236],"LT":[239],"model,":[240],"respectively.":[241]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
