{"id":"https://openalex.org/W4391306441","doi":"https://doi.org/10.1109/smc53992.2023.10394427","title":"An Adaptive Community-Based Influence Maximization Algorithm in Social Networks","display_name":"An Adaptive Community-Based Influence Maximization Algorithm in Social Networks","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4391306441","doi":"https://doi.org/10.1109/smc53992.2023.10394427"},"language":"en","primary_location":{"id":"doi:10.1109/smc53992.2023.10394427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53992.2023.10394427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5068517224","display_name":"Kun Pan","orcid":"https://orcid.org/0000-0003-0782-198X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kun Pan","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology,State Key Laboratory of Subtropical Building and Urban Science,Guangzhou,China,510006"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology,State Key Laboratory of Subtropical Building and Urban Science,Guangzhou,China,510006","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040009065","display_name":"Wen-Jin Qiu","orcid":"https://orcid.org/0009-0001-2773-566X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-Jin Qiu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology,State Key Laboratory of Subtropical Building and Urban Science,Guangzhou,China,510006"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology,State Key Laboratory of Subtropical Building and Urban Science,Guangzhou,China,510006","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050385116","display_name":"Wei\u2013Neng Chen","orcid":"https://orcid.org/0000-0003-0843-5802"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Neng Chen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology,State Key Laboratory of Subtropical Building and Urban Science,Guangzhou,China,510006"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology,State Key Laboratory of Subtropical Building and Urban Science,Guangzhou,China,510006","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068517224"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.3331,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56886138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1813","last_page":"1819"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9947999715805054,"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/T10557","display_name":"Social Media and Politics","score":0.9646999835968018,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"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/computer-science","display_name":"Computer science","score":0.7000091671943665},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6864047050476074},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.6526356339454651},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5510073304176331},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.48999181389808655},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.441161572933197},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4342576861381531},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4134482443332672},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3664812445640564},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3317773938179016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2931443750858307},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2691706418991089},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2614313066005707},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18472009897232056},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.08699753880500793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7000091671943665},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6864047050476074},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.6526356339454651},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5510073304176331},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.48999181389808655},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.441161572933197},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4342576861381531},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4134482443332672},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3664812445640564},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3317773938179016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2931443750858307},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2691706418991089},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2614313066005707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18472009897232056},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.08699753880500793},{"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/smc53992.2023.10394427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53992.2023.10394427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G8277581525","display_name":null,"funder_award_id":"61976093","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W68645389","https://openalex.org/W137627111","https://openalex.org/W177738351","https://openalex.org/W1931400479","https://openalex.org/W2042123098","https://openalex.org/W2061357511","https://openalex.org/W2061820396","https://openalex.org/W2108858998","https://openalex.org/W2141403143","https://openalex.org/W2151936673","https://openalex.org/W2166470254","https://openalex.org/W2464384554","https://openalex.org/W2529103813","https://openalex.org/W2798584339","https://openalex.org/W2907366795","https://openalex.org/W2952257945","https://openalex.org/W3006627032","https://openalex.org/W3044039633","https://openalex.org/W3080882303","https://openalex.org/W3099768174","https://openalex.org/W3102641634","https://openalex.org/W3161888309","https://openalex.org/W4220975548","https://openalex.org/W4285180649","https://openalex.org/W4310463539","https://openalex.org/W4319837659"],"related_works":["https://openalex.org/W2347477706","https://openalex.org/W1943663474","https://openalex.org/W4299389082","https://openalex.org/W2306830238","https://openalex.org/W2110294633","https://openalex.org/W1829715381","https://openalex.org/W2102514425","https://openalex.org/W2962747841","https://openalex.org/W2014162767","https://openalex.org/W2367260997"],"abstract_inverted_index":{"Influence":[0],"maximization":[1,60],"(IM)":[2],"is":[3,94,122,148,195,207],"a":[4,13,17,70,79,85,144,178],"problem":[5,68],"of":[6,38,72,119,130,182],"selecting":[7],"the":[8,35,66,113,117,127,131,136,161,168,172,183],"most":[9],"influential":[10],"vertices":[11,99,121],"with":[12,69,100],"limited":[14],"budget":[15],"under":[16],"given":[18],"propagation":[19,102],"model.":[20],"A":[21],"significant":[22],"challenge":[23],"faced":[24],"by":[25],"many":[26],"existing":[27],"algorithms":[28],"pertains":[29],"to":[30,33,64,83,97,134,158,160],"their":[31],"inability":[32],"reconcile":[34],"competing":[36],"goals":[37],"solution":[39],"quality":[40],"and":[41,74,112,152,171],"computational":[42],"efficiency,":[43],"rendering":[44],"them":[45],"unsuitable":[46],"in":[47,104,192],"large-scale":[48,86],"social":[49],"networks.":[50,107],"In":[51],"this":[52,193],"paper,":[53],"we":[54,77],"propose":[55],"an":[56],"adaptive":[57,92,114],"community-based":[58],"influence":[59,115,184],"algorithm,":[61],"named":[62],"AComA,":[63],"solve":[65],"IM":[67,162],"balance":[71],"effectiveness":[73],"efficiency.":[75],"First,":[76],"introduce":[78],"community":[80,106,110,174],"detection":[81,111],"method":[82,190],"divide":[84],"network":[87],"into":[88],"several":[89,198],"communities.":[90],"An":[91],"indicator":[93],"then":[95],"defined":[96],"identify":[98],"high":[101],"values":[103],"divided":[105],"Based":[108],"on":[109,197],"indicator,":[116],"number":[118],"candidate":[120,142],"reduced,":[123],"which":[124],"significantly":[125],"reduces":[126],"search":[128],"space":[129],"problem.":[132,163],"Second,":[133],"select":[135],"final":[137],"seed":[138],"set":[139],"from":[140,167],"these":[141],"vertices,":[143],"genetic":[145],"algorithm":[146],"(GA)":[147],"introduced.":[149],"The":[150,189,201],"crossover":[151],"mutation":[153],"operations":[154],"are":[155],"modified":[156],"explicitly":[157],"adapt":[159],"By":[164],"extracting":[165],"information":[166],"local":[169],"neighborhood":[170],"global":[173],"structure,":[175],"AComA":[176,206],"achieves":[177],"more":[179],"accurate":[180],"measurement":[181],"spread":[185],"for":[186],"each":[187],"vertex.":[188],"proposed":[191],"paper":[194],"tested":[196],"real-world":[199],"datasets.":[200],"experimental":[202],"results":[203],"show":[204],"that":[205],"promising.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
