{"id":"https://openalex.org/W2975453005","doi":"https://doi.org/10.1109/access.2019.2944207","title":"Near-Optimal Convergent Approach for Composed Influence Maximization Problem in Social Networks","display_name":"Near-Optimal Convergent Approach for Composed Influence Maximization Problem in Social Networks","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2975453005","doi":"https://doi.org/10.1109/access.2019.2944207","mag":"2975453005"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2944207","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2944207","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08851199.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08851199.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014371843","display_name":"Jianming Zhu","orcid":"https://orcid.org/0000-0002-8147-8254"},"institutions":[{"id":"https://openalex.org/I4210092870","display_name":"Jiaxing University","ror":"https://ror.org/00j2a7k55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092870"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianming Zhu","raw_affiliation_strings":["College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing, China","School of Engineering Science, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8147-8254","affiliations":[{"raw_affiliation_string":"College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing, China","institution_ids":["https://openalex.org/I4210092870"]},{"raw_affiliation_string":"School of Engineering Science, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102829852","display_name":"Smita Ghosh","orcid":"https://orcid.org/0000-0002-7026-1826"},"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":"Smita Ghosh","raw_affiliation_strings":["Department of Computer Science, The University of Texas at Dallas, Richardson, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Texas at Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048315846","display_name":"Junlei Zhu","orcid":"https://orcid.org/0000-0003-1561-5772"},"institutions":[{"id":"https://openalex.org/I4210092870","display_name":"Jiaxing University","ror":"https://ror.org/00j2a7k55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092870"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junlei Zhu","raw_affiliation_strings":["College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing, China","School of Engineering Science, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing, China","institution_ids":["https://openalex.org/I4210092870"]},{"raw_affiliation_string":"School of Engineering Science, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"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":null,"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":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9719,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.75796906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"142488","last_page":"142497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9864000082015991,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/submodular-set-function","display_name":"Submodular set function","score":0.8534106016159058},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6428093910217285},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6032806038856506},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5748525857925415},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5410223603248596},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5388123393058777},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.4906984567642212},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.48281821608543396},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.443785697221756},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4340142607688904},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42636358737945557},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4130343198776245},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34280291199684143},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3014775514602661},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23749718070030212},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.1950637698173523},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.11846622824668884}],"concepts":[{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.8534106016159058},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6428093910217285},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6032806038856506},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5748525857925415},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5410223603248596},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5388123393058777},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.4906984567642212},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.48281821608543396},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.443785697221756},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4340142607688904},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42636358737945557},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4130343198776245},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34280291199684143},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3014775514602661},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23749718070030212},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.1950637698173523},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.11846622824668884},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2944207","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2944207","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08851199.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:35ecd103099f4d349b3404173511e358","is_oa":true,"landing_page_url":"https://doaj.org/article/35ecd103099f4d349b3404173511e358","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 142488-142497 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2944207","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2944207","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08851199.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1037898890","display_name":"r-\u52a8\u6001\u67d3\u8272\u7684\u76f8\u5173\u95ee\u9898\u7814\u7a76","funder_award_id":"LQ19A010005","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G1645169872","display_name":"\u5e94\u6025\u8d44\u6e90\u4fe1\u606f\u6570\u636e\u5e93\u3001\u534f\u8c03\u8c03\u914d\u6a21\u578b\u65b9\u6cd5\u53ca\u4eff\u771f\u7814\u7a76","funder_award_id":"91324012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4825034206","display_name":null,"funder_award_id":"11901243","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G57014345","display_name":"EAGER:   Harnessing the Power of Graph Data Analytics","funder_award_id":"1747818","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8106082082","display_name":null,"funder_award_id":"Y95402QXX2","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320326972","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2975453005.pdf","grobid_xml":"https://content.openalex.org/works/W2975453005.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W136235603","https://openalex.org/W166336717","https://openalex.org/W808055529","https://openalex.org/W1576820654","https://openalex.org/W1624793954","https://openalex.org/W1968164782","https://openalex.org/W1984069252","https://openalex.org/W1990570693","https://openalex.org/W2035165116","https://openalex.org/W2055111214","https://openalex.org/W2061820396","https://openalex.org/W2079290125","https://openalex.org/W2096563449","https://openalex.org/W2114696370","https://openalex.org/W2114909350","https://openalex.org/W2118555456","https://openalex.org/W2118745042","https://openalex.org/W2132801025","https://openalex.org/W2139430401","https://openalex.org/W2141403143","https://openalex.org/W2150208547","https://openalex.org/W2160411082","https://openalex.org/W2286666002","https://openalex.org/W2396832258","https://openalex.org/W2470757901","https://openalex.org/W2736878016","https://openalex.org/W2737079750","https://openalex.org/W2742635568","https://openalex.org/W2788983380","https://openalex.org/W2897194906","https://openalex.org/W2949796662","https://openalex.org/W2952019053","https://openalex.org/W2962890993","https://openalex.org/W3103657871","https://openalex.org/W6605551107","https://openalex.org/W6664544935","https://openalex.org/W6763848706"],"related_works":["https://openalex.org/W2896347948","https://openalex.org/W2402949237","https://openalex.org/W4302557420","https://openalex.org/W2950500962","https://openalex.org/W2915041254","https://openalex.org/W2594118609","https://openalex.org/W2765425000","https://openalex.org/W3204684126","https://openalex.org/W4389478405","https://openalex.org/W2735578456"],"abstract_inverted_index":{"Crowd":[0],"psychology":[1],"is":[2,20,49,91],"a":[3,23,26,46,52,86,111,124,139,153],"critical":[4],"factor":[5],"when":[6,60],"considering":[7],"information":[8],"diffusion,":[9],"which":[10,157],"has":[11],"been":[12],"modeled":[13,50],"as":[14,22,51],"composed":[15,18],"influence.":[16],"The":[17,89,173],"influence":[19,59],"represented":[21],"hyperedge":[24,30],"in":[25,63,84],"graph":[27],"model.":[28],"A":[29],"e":[31,54],"=":[32],"(He,":[33],"v)":[34],"contains":[35],"the":[36,71,94,144,159,176,179,182],"head":[37],"node":[38,43],"set":[39],"He":[40,64],"and":[41,116,127,178],"tail":[42],"v.":[44],"Then":[45],"social":[47,87],"network":[48],"hypergraph.":[53],"can":[55],"only":[56],"propagate":[57],"this":[58,69,106],"all":[61],"nodes":[62],"become":[65],"active":[66],"first.":[67],"In":[68],"paper,":[70],"Composed":[72],"Influence":[73],"Maximization":[74],"(CIM)":[75],"also":[76],"aims":[77],"to":[78,92],"select":[79],"k":[80],"initially-influenced":[81],"seed":[82],"users":[83],"such":[85],"network.":[88],"objective":[90,107,133],"maximize":[93],"expected":[95],"number":[96],"of":[97,113,181],"eventually-influenced":[98],"users.":[99],"We":[100,137,151],"present":[101],"an":[102,128],"approximating":[103],"method":[104],"for":[105,148],"function":[108],"by":[109],"formulating":[110],"series":[112],"submodular":[114],"functions":[115,118,134],"these":[117],"are":[119,135],"convergent.":[120],"Then,":[121],"we":[122,164],"develop":[123],"lower":[125,145],"bound":[126,130,146],"upper":[129],"problems":[131],"whose":[132],"submodular.":[136],"design":[138],"greedy":[140],"strategy":[141],"based":[142],"on":[143,168],"maximization":[147],"solving":[149],"CIM.":[150],"formulate":[152],"sandwich":[154],"approximation":[155],"framework,":[156],"preserves":[158],"theoretical":[160],"analysis":[161],"result.":[162],"Finally,":[163],"evaluate":[165],"our":[166],"algorithm":[167],"real":[169],"world":[170],"data":[171],"sets.":[172],"results":[174],"show":[175],"effectiveness":[177],"efficiency":[180],"proposed":[183],"algorithm.":[184]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}
