{"id":"https://openalex.org/W2556555059","doi":"https://doi.org/10.1109/ijcnn.2016.7727818","title":"A recursive method for big network influence estimation","display_name":"A recursive method for big network influence estimation","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2556555059","doi":"https://doi.org/10.1109/ijcnn.2016.7727818","mag":"2556555059"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5090758727","display_name":"Weixue Lu","orcid":"https://orcid.org/0000-0002-8822-6543"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Xue Lu","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085319576","display_name":"Chuan Zhou","orcid":"https://orcid.org/0000-0001-9958-8673"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Zhou","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007475662","display_name":"Jia Wu","orcid":"https://orcid.org/0000-0002-1371-5801"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I4210096034","display_name":"Centre for Quantum Computation and Communication Technology","ror":"https://ror.org/00rnbty21","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1337719021","https://openalex.org/I165143802","https://openalex.org/I2801453606","https://openalex.org/I4210096034","https://openalex.org/I4210132349"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jia Wu","raw_affiliation_strings":["Centre for Quantum Computation & Intelligent Systems (QCIS), University of Technology Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Quantum Computation & Intelligent Systems (QCIS), University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I4210096034","https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033339574","display_name":"Chunyi Liu","orcid":"https://orcid.org/0009-0005-7030-0310"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun-Yi Liu","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102870248","display_name":"Li Gao","orcid":"https://orcid.org/0000-0002-5870-2801"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Gao","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100684459","display_name":"Yue Hu","orcid":"https://orcid.org/0000-0002-4416-3974"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Hu","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4709","last_page":"4714"},"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":0.9983000159263611,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9947999715805054,"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/snapshot","display_name":"Snapshot (computer storage)","score":0.7716071009635925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7495173215866089},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6315896511077881},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5922500491142273},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5382430553436279},{"id":"https://openalex.org/keywords/recursion","display_name":"Recursion (computer science)","score":0.5330701470375061},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5325201153755188},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5044299364089966},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44854894280433655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17111322283744812},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10434451699256897}],"concepts":[{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.7716071009635925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7495173215866089},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6315896511077881},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5922500491142273},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5382430553436279},{"id":"https://openalex.org/C168773036","wikidata":"https://www.wikidata.org/wiki/Q264164","display_name":"Recursion (computer science)","level":2,"score":0.5330701470375061},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5325201153755188},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5044299364089966},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44854894280433655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17111322283744812},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10434451699256897},{"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/106106","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/106106","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W589414278","https://openalex.org/W1495750374","https://openalex.org/W1509233605","https://openalex.org/W1931400479","https://openalex.org/W1971039378","https://openalex.org/W1984069252","https://openalex.org/W1988717476","https://openalex.org/W1996218898","https://openalex.org/W2006021775","https://openalex.org/W2020541149","https://openalex.org/W2026892459","https://openalex.org/W2027135291","https://openalex.org/W2061820396","https://openalex.org/W2105103777","https://openalex.org/W2112837588","https://openalex.org/W2187996512","https://openalex.org/W2197169483","https://openalex.org/W2234485321","https://openalex.org/W3104548765","https://openalex.org/W4211017427","https://openalex.org/W4301207233","https://openalex.org/W6630509639","https://openalex.org/W6640413025","https://openalex.org/W6689996015"],"related_works":["https://openalex.org/W2542847180","https://openalex.org/W3034994054","https://openalex.org/W1976679120","https://openalex.org/W2155226960","https://openalex.org/W2805712290","https://openalex.org/W2909129499","https://openalex.org/W4281614748","https://openalex.org/W2392087771","https://openalex.org/W2387536556","https://openalex.org/W3094650923"],"abstract_inverted_index":{"Influence":[0],"maximization":[1],"aims":[2],"to":[3,15,29,42,50,66,115,136,143],"find":[4],"a":[5,12,112],"set":[6,58,99],"of":[7,19,25,34,55,120,159],"highly":[8],"influential":[9],"nodes":[10],"in":[11],"social":[13],"network":[14],"maximize":[16],"the":[17,26,31,52,62,68,87,101,117,128,145,149],"spread":[18,33,54,71,119,130],"influence.":[20],"The":[21,92],"most":[22,63],"difficult":[23],"part":[24],"problem":[27],"is":[28,46,72,84,89],"estimate":[30,51,116],"influence":[32,53,70,118,129,161],"any":[35,56,121],"seed":[36,57,98,122],"set,":[37],"which":[38],"has":[39],"been":[40],"proved":[41],"be":[43],"#P-hard.":[44],"There":[45],"no":[47],"efficient":[48],"method":[49],"till":[59],"now.":[60],"Thus,":[61],"common":[64],"way":[65],"obtain":[67],"approximate":[69],"Monte":[73],"Carlo":[74],"simulation":[75],"and":[76,100,152],"two":[77],"popular":[78],"simulating":[79],"strategies":[80,142],"are":[81],"applied:":[82],"one":[83],"propagation":[85],"strategy,":[86],"other":[88],"snapshot":[90],"strategy.":[91],"former":[93],"only":[94],"fits":[95],"for":[96],"particular":[97],"latter":[102],"incurs":[103],"heavy":[104],"memory":[105,150],"cost.":[106],"In":[107],"this":[108],"paper,":[109],"we":[110,139],"present":[111],"new":[113],"algorithm":[114,125],"set.":[123],"Our":[124],"recursively":[126],"estimates":[127],"using":[131],"reachable":[132],"probabilities":[133],"from":[134],"node":[135],"node.":[137],"Accordingly,":[138],"provide":[140],"three":[141],"start":[144],"recursion":[146],"by":[147],"integrating":[148],"cost":[151],"computing":[153],"efficiency.":[154],"Experiments":[155],"demonstrate":[156],"high":[157],"performance":[158],"our":[160],"estimation.":[162]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
