{"id":"https://openalex.org/W4403123688","doi":"https://doi.org/10.1109/tcss.2024.3459853","title":"Enhanced Group Influence Maximization in Social Networks Using Deep Reinforcement Learning","display_name":"Enhanced Group Influence Maximization in Social Networks Using Deep Reinforcement Learning","publication_year":2024,"publication_date":"2024-10-04","ids":{"openalex":"https://openalex.org/W4403123688","doi":"https://doi.org/10.1109/tcss.2024.3459853"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2024.3459853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3459853","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social 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/A5102829852","display_name":"Smita Ghosh","orcid":"https://orcid.org/0000-0002-7026-1826"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Smita Ghosh","raw_affiliation_strings":["Department of Mathematics and Computer Science, Santa Clara University, Santa Clara, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-7026-1826","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Santa Clara University, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060325185","display_name":"Tiantian Chen","orcid":"https://orcid.org/0000-0003-3513-6170"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tiantian Chen","raw_affiliation_strings":["Department of Mathematics and Computer Science, Santa Clara University, Santa Clara, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3513-6170","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Santa Clara University, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070037321","display_name":"Weili Wu","orcid":"https://orcid.org/0000-0001-8747-6340"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weili Wu","raw_affiliation_strings":["Department of Computer Science, The University of Texas at Dallas, Richardson, TX, USA"],"raw_orcid":"https://orcid.org/0000-0001-8747-6340","affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Texas at Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8142,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.91325872,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":"2","first_page":"573","last_page":"585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.980400025844574,"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":0.980400025844574,"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":0.9670000076293945,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9413999915122986,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6851427555084229},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.670170783996582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5190209150314331},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4932541251182556},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.4570557773113251},{"id":"https://openalex.org/keywords/social-learning","display_name":"Social learning","score":0.44835007190704346},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.4476810097694397},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3701649308204651},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2872384190559387},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.23658132553100586},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.15495243668556213},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10283935070037842}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6851427555084229},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.670170783996582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5190209150314331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4932541251182556},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.4570557773113251},{"id":"https://openalex.org/C79416737","wikidata":"https://www.wikidata.org/wiki/Q2305519","display_name":"Social learning","level":2,"score":0.44835007190704346},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.4476810097694397},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3701649308204651},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2872384190559387},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.23658132553100586},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.15495243668556213},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10283935070037842},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2024.3459853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3459853","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W808055529","https://openalex.org/W1970463918","https://openalex.org/W2005179971","https://openalex.org/W2035165116","https://openalex.org/W2086058123","https://openalex.org/W2132801025","https://openalex.org/W2154851992","https://openalex.org/W2160411082","https://openalex.org/W2166660524","https://openalex.org/W2286666002","https://openalex.org/W2602536546","https://openalex.org/W2607264901","https://openalex.org/W2746553466","https://openalex.org/W2787887656","https://openalex.org/W2795034086","https://openalex.org/W2809583854","https://openalex.org/W2903669089","https://openalex.org/W2910911697","https://openalex.org/W2962756421","https://openalex.org/W2962887179","https://openalex.org/W2973248089","https://openalex.org/W2982854929","https://openalex.org/W3001111845","https://openalex.org/W3028110392","https://openalex.org/W3124877770","https://openalex.org/W3144753569","https://openalex.org/W4285195085","https://openalex.org/W4293250541","https://openalex.org/W4376607800","https://openalex.org/W6664544935","https://openalex.org/W6675066923","https://openalex.org/W6678155802","https://openalex.org/W6682460663","https://openalex.org/W6697873463","https://openalex.org/W6742886466","https://openalex.org/W6748632789","https://openalex.org/W6763811828","https://openalex.org/W6773092609","https://openalex.org/W6785948369","https://openalex.org/W6797083137","https://openalex.org/W6804735368"],"related_works":["https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W2920061524","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2145821588","https://openalex.org/W2086122291","https://openalex.org/W1987513656"],"abstract_inverted_index":{"In":[0],"contemporary":[1],"society,":[2],"groups":[3],"are":[4,60,179],"pivotal":[5],"in":[6,26,36,57,72,109,117,139,171,207,223],"shaping":[7],"decisions":[8],"and":[9,115,119,183],"actions.":[10],"The":[11,89,194],"consensus":[12],"of":[13,16,43,55,69,79,87,103,190,196],"a":[14,37,80,100,129,168],"majority":[15],"members":[17],"on":[18,181,212],"specific":[19],"topics":[20],"often":[21],"guides":[22],"the":[23,41,66,77,84,96,136,173,188],"collective":[24],"decision-making":[25],"groups.":[27,46,88],"Group":[28],"influence":[29,97],"maximization":[30],"(GIM)":[31],"aims":[32],"to":[33,39,51,75,186],"select$k$seed":[34],"users":[35,56,71],"network":[38,121,163,225],"maximize":[40,76],"number":[42,86],"eventually":[44],"activated":[45,53],"A":[47],"group":[48,59],"is":[49],"said":[50],"be":[52],"if$\\beta$percent":[54],"this":[58],"activated.":[61],"This":[62,165,215],"study":[63],"delves":[64],"into":[65],"strategic":[67],"selection":[68],"seed":[70],"social":[73,140],"networks":[74,141],"spread":[78,98],"topic,":[81],"thereby":[82,157],"activating":[83],"highest":[85],"GIM":[90,137],"problem,":[91],"inherently":[92],"NP-hard":[93],"when":[94,210],"computing":[95],"from":[99,152],"selected":[101],"set":[102],"nodes,":[104],"has":[105],"traditionally":[106],"faced":[107],"obstacles":[108],"ensuring":[110],"theoretical":[111],"robustness,":[112],"time":[113],"efficiency,":[114],"adaptability":[116],"large":[118],"complex":[120],"environments.":[122],"To":[123],"overcome":[124],"these":[125,197],"challenges,":[126],"we":[127],"introduce":[128],"robust":[130],"framework":[131],"called":[132],"GIMDRL":[133],"that":[134,200],"addresses":[135],"problem":[138],"using":[142],"deep":[143],"reinforcement":[144],"learning":[145,175],"(DRL).":[146],"Our":[147],"approach":[148,202],"integrates":[149],"node":[150],"embeddings":[151],"multiple":[153],"graph":[154],"neural":[155],"networks,":[156],"utilizing":[158],"diverse":[159],"information":[160],"for":[161,221],"effective":[162],"analysis.":[164],"integration":[166],"plays":[167],"crucial":[169],"role":[170],"optimizing":[172],"parameter":[174],"process.":[176],"Extensive":[177],"experiments":[178,198],"conducted":[180],"real-world":[182],"synthetic":[184],"datasets":[185],"assess":[187],"performance":[189],"our":[191,201,217],"proposed":[192],"framework.":[193],"results":[195],"indicate":[199],"significantly":[203],"outperforms":[204],"existing":[205],"methods":[206],"GIM,":[208],"even":[209],"trained":[211],"sampled":[213],"graphs.":[214],"highlights":[216],"model's":[218],"strong":[219],"capacity":[220],"generalization":[222],"varying":[224],"scenarios.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
