{"id":"https://openalex.org/W2076242723","doi":"https://doi.org/10.1145/2632951.2632975","title":"Minimum-sized influential node set selection for social networks under the independent cascade model","display_name":"Minimum-sized influential node set selection for social networks under the independent cascade model","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2076242723","doi":"https://doi.org/10.1145/2632951.2632975","mag":"2076242723"},"language":"en","primary_location":{"id":"doi:10.1145/2632951.2632975","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2632951.2632975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM international symposium on Mobile ad hoc networking and computing","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/A5081879366","display_name":"Jing He","orcid":"https://orcid.org/0000-0001-6488-1052"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jing (Selena) He","raw_affiliation_strings":["Kennesaw State University, Kennesaw, GA, USA"],"affiliations":[{"raw_affiliation_string":"Kennesaw State University, Kennesaw, GA, USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058611515","display_name":"Shouling Ji","orcid":"https://orcid.org/0000-0003-4268-372X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shouling Ji","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA","Georgia Institute of Technology Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033073212","display_name":"Raheem Beyah","orcid":"https://orcid.org/0000-0002-9188-3464"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raheem Beyah","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA","Georgia Institute of Technology Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072627238","display_name":"Zhipeng Cai","orcid":"https://orcid.org/0000-0001-6017-975X"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhipeng Cai","raw_affiliation_strings":["Georgia State University, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia State University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I181565077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081879366"],"corresponding_institution_ids":["https://openalex.org/I172980758"],"apc_list":null,"apc_paid":null,"fwci":4.2177,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.9459758,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9968000054359436,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/greedy-algorithm","display_name":"Greedy algorithm","score":0.7927054166793823},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6944558620452881},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6758778095245361},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.632615327835083},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.588078498840332},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5630840063095093},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5220677256584167},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.5117661952972412},{"id":"https://openalex.org/keywords/information-cascade","display_name":"Information cascade","score":0.49549901485443115},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.4914447069168091},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38989630341529846},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37072205543518066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30076083540916443},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21785742044448853},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1875656545162201},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.13200125098228455},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1124865710735321},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.0890464186668396}],"concepts":[{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.7927054166793823},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6944558620452881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6758778095245361},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.632615327835083},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.588078498840332},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5630840063095093},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5220677256584167},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.5117661952972412},{"id":"https://openalex.org/C27286358","wikidata":"https://www.wikidata.org/wiki/Q6031027","display_name":"Information cascade","level":2,"score":0.49549901485443115},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.4914447069168091},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38989630341529846},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37072205543518066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30076083540916443},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21785742044448853},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1875656545162201},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.13200125098228455},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1124865710735321},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0890464186668396},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2632951.2632975","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2632951.2632975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM international symposium on Mobile ad hoc networking and computing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.714.2051","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.714.2051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://users.ece.gatech.edu/%7Esji/Paper/mobihoc14.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1567678169","https://openalex.org/W1619831348","https://openalex.org/W1654194294","https://openalex.org/W1856548066","https://openalex.org/W1965932001","https://openalex.org/W1984069252","https://openalex.org/W1984588599","https://openalex.org/W1991635064","https://openalex.org/W2029316629","https://openalex.org/W2042123098","https://openalex.org/W2056609785","https://openalex.org/W2058059841","https://openalex.org/W2061820396","https://openalex.org/W2073926352","https://openalex.org/W2074008775","https://openalex.org/W2103487830","https://openalex.org/W2107559689","https://openalex.org/W2108278206","https://openalex.org/W2108858998","https://openalex.org/W2136246285","https://openalex.org/W2141403143"],"related_works":["https://openalex.org/W1599249360","https://openalex.org/W3216856988","https://openalex.org/W4241510592","https://openalex.org/W2950079881","https://openalex.org/W2602403414","https://openalex.org/W4206113852","https://openalex.org/W4226434933","https://openalex.org/W4288558683","https://openalex.org/W4242788837","https://openalex.org/W3191464501"],"abstract_inverted_index":{"Social":[0],"networks":[1,22],"are":[2,105,153],"important":[3],"mediums":[4],"for":[5],"communication,information":[6],"dissemination,":[7],"and":[8,50,151,162],"influence":[9,51],"spreading.":[10],"Most":[11],"of":[12,20,29,32,39,81,136],"existing":[13],"works":[14],"focus":[15],"on":[16,156],"understanding":[17],"the":[18,27,66,78,89,112,128,133,137,145],"characteristics":[19],"social":[21,33,41],"or":[23],"spreading":[24,52],"information":[25],"through":[26],"'word":[28],"mouth'":[30],"effect":[31],"networks.":[34],"However,":[35],"motivated":[36],"by":[37,94],"applications":[38],"alleviating":[40],"problems,":[42,53],"such":[43,54,84],"as":[44,55],"drinking,":[45],"smoking,":[46],"addicting":[47],"to":[48,76,126,143],"gaming,":[49],"promoting":[56],"new":[57,62],"products,":[58],"we":[59,108,120],"propose":[60],"a":[61,101,122],"optimization":[63],"problem":[64],"named":[65],"Minimum-sized":[67],"Influential":[68],"Node":[69],"Set":[70],"(MINS)":[71],"selection":[72,130],"problem,":[73],"which":[74],"is":[75,117,140],"identify":[77],"minimum-sized":[79],"set":[80],"influential":[82],"nodes,":[83],"that":[85],"every":[86],"node":[87],"in":[88],"network":[90],"could":[91],"be":[92],"influenced":[93],"these":[95],"selected":[96],"nodes":[97],"no":[98],"less":[99],"than":[100],"threshold.":[102],"Our":[103],"contributions":[104],"threefold.":[106],"First,":[107],"prove":[109],"that,":[110],"under":[111],"independent":[113],"cascade":[114],"model,":[115],"MINS":[116,129],"NP-hard.":[118],"Subsequently,":[119],"present":[121],"greedy":[123,138,147],"approximation":[124],"algorithm":[125,139],"address":[127],"problem.":[131],"Moreover,":[132],"performance":[134],"ratio":[135],"analyzed.":[141],"Finally,":[142],"validate":[144],"proposed":[146],"algorithm,":[148],"extensive":[149],"experiments":[150],"simulations":[152],"conducted":[154],"both":[155],"real":[157],"world":[158],"coauthor":[159],"data":[160],"sets":[161],"random":[163],"graphs.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}