{"id":"https://openalex.org/W4391582451","doi":"https://doi.org/10.1109/tnse.2024.3362903","title":"IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology","display_name":"IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology","publication_year":2024,"publication_date":"2024-02-06","ids":{"openalex":"https://openalex.org/W4391582451","doi":"https://doi.org/10.1109/tnse.2024.3362903"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2024.3362903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2024.3362903","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","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/A5067894717","display_name":"Cong Tran","orcid":"https://orcid.org/0000-0001-9467-4978"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]},{"id":"https://openalex.org/I4400600977","display_name":"Posts and Telecommunications Institute of Technology","ror":"https://ror.org/0363rtq22","country_code":null,"type":"education","lineage":["https://openalex.org/I4400600977"]},{"id":"https://openalex.org/I89015989","display_name":"Dankook University","ror":"https://ror.org/058pdbn81","country_code":"KR","type":"education","lineage":["https://openalex.org/I89015989"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Cong Tran","raw_affiliation_strings":["Department of Computer Science and Engineering, Dankook University, Yongin, South Korea","Faculty of Information Technology, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam","Machine Intelligence & Data Science Laboratory, Yonsei University, Seoul, Republic of Korea","Department of Computer Science and Engineering, Dankook University, Yongin, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-9467-4978","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Dankook University, Yongin, South Korea","institution_ids":["https://openalex.org/I89015989"]},{"raw_affiliation_string":"Faculty of Information Technology, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I4400600977"]},{"raw_affiliation_string":"Machine Intelligence & Data Science Laboratory, Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Dankook University, Yongin, Republic of Korea","institution_ids":["https://openalex.org/I89015989"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086873475","display_name":"Won-Yong Shin","orcid":"https://orcid.org/0000-0002-6533-3469"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Won-Yong Shin","raw_affiliation_strings":["School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, Seoul, South Korea","School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-6533-3469","affiliations":[{"raw_affiliation_string":"School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018128415","display_name":"Andreas Spitz","orcid":"https://orcid.org/0000-0002-5282-6133"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Spitz","raw_affiliation_strings":["Department of Computer and Information Science, University of Konstanz, Konstanz, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5282-6133","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.582,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.95091359,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"11","issue":"3","first_page":"3148","last_page":"3160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/metadata","display_name":"Metadata","score":0.77833092212677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6105834245681763},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5490765571594238},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5314725041389465},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4806743562221527},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4565959870815277},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37471428513526917},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3496691584587097},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3260679244995117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3032500147819519},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20933565497398376},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19008219242095947},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11609190702438354},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.06754234433174133},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06709983944892883}],"concepts":[{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.77833092212677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6105834245681763},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5490765571594238},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5314725041389465},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4806743562221527},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4565959870815277},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37471428513526917},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3496691584587097},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3260679244995117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3032500147819519},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20933565497398376},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19008219242095947},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11609190702438354},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.06754234433174133},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06709983944892883},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnse.2024.3362903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2024.3362903","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:kops.uni-konstanz.de:123456789/76715","is_oa":false,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-2-yk4uu5s0akw34","pdf_url":null,"source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Network Science and Engineering. IEEE. 2024, 11(3), S. 3148-3160. eISSN 2327-4697. Verf\u00fcgbar unter: doi: 10.1109/tnse.2024.3362903","raw_type":"doc-type:Text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3786754461","display_name":null,"funder_award_id":"RS-2023-00220762","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G3949046853","display_name":null,"funder_award_id":"2021R1A2C3004345","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1595446269","https://openalex.org/W1595449516","https://openalex.org/W1680189815","https://openalex.org/W1972145684","https://openalex.org/W2019512103","https://openalex.org/W2025984714","https://openalex.org/W2035165116","https://openalex.org/W2061820396","https://openalex.org/W2084862036","https://openalex.org/W2107709347","https://openalex.org/W2108858998","https://openalex.org/W2117764127","https://openalex.org/W2124199381","https://openalex.org/W2132801025","https://openalex.org/W2141403143","https://openalex.org/W2146008005","https://openalex.org/W2153803020","https://openalex.org/W2166470254","https://openalex.org/W2171590421","https://openalex.org/W2278798134","https://openalex.org/W2396832258","https://openalex.org/W2467803737","https://openalex.org/W2476398267","https://openalex.org/W2739865319","https://openalex.org/W2755088640","https://openalex.org/W2788275686","https://openalex.org/W2848126713","https://openalex.org/W2903158431","https://openalex.org/W2952263365","https://openalex.org/W2961534768","https://openalex.org/W2962773920","https://openalex.org/W2967893579","https://openalex.org/W3034358003","https://openalex.org/W3093178842","https://openalex.org/W3101485296","https://openalex.org/W3121812901","https://openalex.org/W3138332171","https://openalex.org/W3178237648","https://openalex.org/W3185484565","https://openalex.org/W3187966659","https://openalex.org/W3211860396","https://openalex.org/W4306317076","https://openalex.org/W4387025526","https://openalex.org/W6631190155","https://openalex.org/W6726380605","https://openalex.org/W6726873649","https://openalex.org/W6738579044","https://openalex.org/W6744271739","https://openalex.org/W6746313456","https://openalex.org/W6752782053","https://openalex.org/W6756615331","https://openalex.org/W6762141588","https://openalex.org/W6773092609","https://openalex.org/W6797083137","https://openalex.org/W6797524784"],"related_works":["https://openalex.org/W2058118494","https://openalex.org/W2392768766","https://openalex.org/W2382021449","https://openalex.org/W2095118173","https://openalex.org/W2106424170","https://openalex.org/W1985426483","https://openalex.org/W2501188010","https://openalex.org/W4299935056","https://openalex.org/W2387536556","https://openalex.org/W3094650923"],"abstract_inverted_index":{"Since":[0,61],"the":[1,15,26,71,117,152,159,184,193,199,205,212,217],"structure":[2],"of":[3,25,74,137,173,186,195],"complex":[4],"networks":[5,49],"is":[6,65],"often":[7],"<italic":[8,108,126,144,165],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[9,39,99,109,127,145,166,175],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">unknown</i>":[10],",":[11,41,101,131],"we":[12,81,102,115,133,150,181],"may":[13],"identify":[14,151],"most":[16],"influential":[17],"seed":[18,92],"nodes":[19,93],"by":[20,53,157],"exploring":[21],"only":[22],"a":[23,30,42,83,125,135,143],"part":[24],"underlying":[27],"network,":[28],"given":[29],"small":[31],"budget":[32],"for":[33],"node":[34,59,154,190],"queries.":[35],"We":[36],"propose":[37],"<monospace":[38,98,174],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">IM-META</monospace>":[40,100,176],"solution":[43],"to":[44,70,89,141,155,207],"influence":[45,161],"maximization":[46],"(IM)":[47],"in":[48,78],"with":[50],"unknown":[51],"topology":[52],"retrieving":[54],"information":[55],"from":[56],"queries":[57],"and":[58,76,94,122,148,215],"metadata.":[60],"using":[62,163],"such":[63],"metadata":[64,75,121],"not":[66],"without":[67],"risk":[68],"due":[69],"noisy":[72],"nature":[73],"uncertainties":[77],"connectivity":[79],"inference,":[80],"formulate":[82],"new":[84],"IM":[85],"problem":[86],"that":[87,107],"aims":[88],"find":[90],"both":[91],"queried":[95],"nodes.":[96],"In":[97],"develop":[103],"an":[104],"effective":[105],"method":[106],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">iteratively</i>":[110],"performs":[111],"three":[112],"steps:":[113],"1)":[114],"learn":[116],"relationship":[118],"between":[119],"collected":[120],"edges":[123,140],"via":[124,189],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Siamese":[128],"neural":[129],"network</i>":[130],"2)":[132],"select":[134],"number":[136],"inferred":[138,160],"confident":[139],"construct":[142],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">reinforced</i>":[146],"graph,":[147],"3)":[149],"next":[153],"query":[156],"maximizing":[158],"spread":[162],"our":[164],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">topology-aware</i>":[167],"ranking":[168],"strategy.":[169],"Through":[170],"experimental":[171],"evaluation":[172],"on":[177],"four":[178],"real-world":[179],"datasets,":[180],"demonstrate":[182],"a)":[183],"speed":[185],"network":[187],"exploration":[188],"queries,":[191],"b)":[192],"effectiveness":[194],"each":[196],"module,":[197],"c)":[198],"superiority":[200],"over":[201],"benchmark":[202],"methods,":[203],"d)":[204],"robustness":[206],"more":[208],"difficult":[209],"settings,":[210],"e)":[211],"hyperparameter":[213],"sensitivity,":[214],"f)":[216],"scalability.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
