{"id":"https://openalex.org/W2254070738","doi":"https://doi.org/10.1145/2824253","title":"Influence Estimation and Maximization in Continuous-Time Diffusion Networks","display_name":"Influence Estimation and Maximization in Continuous-Time Diffusion Networks","publication_year":2016,"publication_date":"2016-02-08","ids":{"openalex":"https://openalex.org/W2254070738","doi":"https://doi.org/10.1145/2824253","mag":"2254070738"},"language":"en","primary_location":{"id":"doi:10.1145/2824253","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2824253","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information 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/A5042180520","display_name":"Manuel Gomez-Rodriguez","orcid":"https://orcid.org/0000-0003-3930-1161"},"institutions":[{"id":"https://openalex.org/I4210121786","display_name":"Max Planck Institute for Software Systems","ror":"https://ror.org/02pe2kf23","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210121786"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Manuel Gomez-Rodriguez","raw_affiliation_strings":["MPI for Software Systems, Kaiserslautern, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MPI for Software Systems, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I4210121786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030589527","display_name":"Le Song","orcid":"https://orcid.org/0000-0002-9655-2787"},"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":"Le Song","raw_affiliation_strings":["Georgia Institute of Technology, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721786","display_name":"Nan Du","orcid":"https://orcid.org/0000-0002-5226-2980"},"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":"Nan Du","raw_affiliation_strings":["Georgia Institute of Technology, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046703129","display_name":"Hongyuan Zha","orcid":"https://orcid.org/0000-0001-7493-0911"},"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":"Hongyuan Zha","raw_affiliation_strings":["Georgia Institute of Technology, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044005697","display_name":"Bernhard Sch\u00f6lkopf","orcid":"https://orcid.org/0000-0002-8177-0925"},"institutions":[{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernhard Sch\u00f6lkopf","raw_affiliation_strings":["MPI for Intelligent Systems, T\u00fcbingen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MPI for Intelligent Systems, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I4210135521"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042180520"],"corresponding_institution_ids":["https://openalex.org/I4210121786"],"apc_list":null,"apc_paid":null,"fwci":9.5016,"has_fulltext":false,"cited_by_count":93,"citation_normalized_percentile":{"value":0.98383127,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"34","issue":"2","first_page":"1","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.978600025177002,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9591000080108643,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7718691825866699},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.629450798034668},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6226693391799927},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5682021975517273},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5495027303695679},{"id":"https://openalex.org/keywords/randomized-algorithm","display_name":"Randomized algorithm","score":0.49886488914489746},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.49659234285354614},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.45303523540496826},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.440236359834671},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.41522416472435},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.41242867708206177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18829205632209778},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.0895409882068634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7718691825866699},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.629450798034668},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6226693391799927},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5682021975517273},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5495027303695679},{"id":"https://openalex.org/C128669082","wikidata":"https://www.wikidata.org/wiki/Q583461","display_name":"Randomized algorithm","level":2,"score":0.49886488914489746},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49659234285354614},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.45303523540496826},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.440236359834671},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.41522416472435},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.41242867708206177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18829205632209778},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0895409882068634},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2824253","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2824253","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:pure.mpg.de:item_2422937","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-002C-F632-B","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W188609219","https://openalex.org/W1482849335","https://openalex.org/W1512602432","https://openalex.org/W1567923358","https://openalex.org/W1570713732","https://openalex.org/W1595257688","https://openalex.org/W1614880074","https://openalex.org/W1680189815","https://openalex.org/W1898824936","https://openalex.org/W1944367023","https://openalex.org/W1965996575","https://openalex.org/W1984069252","https://openalex.org/W1996218898","https://openalex.org/W1996816151","https://openalex.org/W2009305899","https://openalex.org/W2035165116","https://openalex.org/W2036561027","https://openalex.org/W2056609785","https://openalex.org/W2061303007","https://openalex.org/W2061820396","https://openalex.org/W2070199170","https://openalex.org/W2070645266","https://openalex.org/W2099470650","https://openalex.org/W2102187991","https://openalex.org/W2103126699","https://openalex.org/W2105509646","https://openalex.org/W2105535951","https://openalex.org/W2106573360","https://openalex.org/W2108614537","https://openalex.org/W2108858998","https://openalex.org/W2111117034","https://openalex.org/W2112681514","https://openalex.org/W2127492100","https://openalex.org/W2128914432","https://openalex.org/W2130727150","https://openalex.org/W2131717044","https://openalex.org/W2139297408","https://openalex.org/W2141403143","https://openalex.org/W2142880609","https://openalex.org/W2143284812","https://openalex.org/W2156305079","https://openalex.org/W2157082398","https://openalex.org/W2164067128","https://openalex.org/W2164227199","https://openalex.org/W2168984636","https://openalex.org/W2169621137","https://openalex.org/W2185197589","https://openalex.org/W2207792509","https://openalex.org/W2401610261","https://openalex.org/W2486038092","https://openalex.org/W2558112394","https://openalex.org/W2560674852","https://openalex.org/W2589887588","https://openalex.org/W2605800822","https://openalex.org/W2796537448","https://openalex.org/W2913668833","https://openalex.org/W2949499549","https://openalex.org/W2949567784","https://openalex.org/W2949683268","https://openalex.org/W2950468916","https://openalex.org/W2952347589","https://openalex.org/W3004555699","https://openalex.org/W3142570770","https://openalex.org/W3143219376","https://openalex.org/W4392366624","https://openalex.org/W7066145800"],"related_works":["https://openalex.org/W2952185452","https://openalex.org/W2798106756","https://openalex.org/W1660242800","https://openalex.org/W2046736294","https://openalex.org/W2077211377","https://openalex.org/W1519526186","https://openalex.org/W2980815195","https://openalex.org/W4293584968","https://openalex.org/W2387536556","https://openalex.org/W3094650923"],"abstract_inverted_index":{"If":[0],"a":[1,8,20,28,127,140,189,226,250],"piece":[2],"of":[3,10,31,41,67,73,136,154,183,228,234,255,293,296,303,321,323],"information":[4],"is":[5,126,194,222,246,269],"released":[6],"from":[7],"set":[9,30,182,227,251],"media":[11,32],"sites,":[12],"can":[13,37,315],"it":[14],"spread,":[15],"in":[16,44,90,139,188,212,291],"1":[17,45,258],"month,":[18],"to":[19,76,101,119,151,166,224,248,307,319],"million":[21],"web":[22],"pages?":[23],"Can":[24],"we":[25,83],"efficiently":[26],"find":[27,225,249],"small":[29],"sites":[33],"among":[34],"millions":[35,322],"that":[36,179,281],"maximize":[38,308],"the":[39,42,64,68,71,123,134,181,213,217,243,270,282,294,297,301,304,309,312],"spread":[40],"information,":[43],"month?":[46],"The":[47,94],"two":[48,85],"problems":[49,56,69],"are":[50,59],"called":[51],"influence":[52,88,103,135,214,219,233,254,299],"estimation":[53,89,220],"and":[54,70,122,148,164,198,242,277,300,311],"maximization":[55,215],"respectively,":[57],"which":[58,132],"very":[60],"challenging":[61],"since":[62],"both":[63,275],"time-sensitive":[65],"nature":[66],"issue":[72],"scalability":[74],"need":[75],"be":[77],"addressed":[78],"simultaneously.":[79],"In":[80],"this":[81],"article,":[82],"propose":[84],"algorithms":[86,284],"for":[87],"continuous-time":[91,98],"diffusion":[92,192],"networks.":[93],"first":[95],"one":[96,125],"uses":[97],"Markov":[99],"chains":[100],"estimate":[102],"exactly":[104],"on":[105,274],"networks":[106,320],"with":[107,142,204,231,252],"exponential,":[108],"or,":[109],"more":[110],"generally,":[111],"phase-type":[112],"transmission":[113,144],"functions,":[114,145],"but":[115],"does":[116],"not":[117],"scale":[118,317],"large-scale":[120],"networks,":[121],"second":[124],"highly":[128],"efficient":[129,201],"randomized":[130,244,313],"algorithm,":[131,216],"estimates":[133],"every":[137],"node":[138],"network":[141,193],"general":[143],"|\u03bd|":[146,174],"nodes":[147,187,230,306],"|\u03b5|":[149],"edges":[150],"an":[152,195,200,232,253],"accuracy":[153,295],"\u03f5":[155],"using":[156],"n":[157,171,173],"=":[158],"O":[159,169],"(1/\u03f5":[160],"2":[161,264],")":[162],"randomizations":[163],"up":[165,318],"logarithmic":[167],"factors":[168],"(":[170],"|\u03b5|+":[172],"computations.":[175],"We":[176],"then":[177],"show":[178,280],"finding":[180],"most":[184],"influential":[185],"source":[186],"continuous":[190],"time":[191],"NP-hard":[196],"problem":[197],"develop":[199],"greedy":[202],"algorithm":[203,221,245,314],"provable":[205],"near-optimal":[206],"performance.":[207],"When":[208],"used":[209],"as":[210],"subroutines":[211],"exact":[218],"guaranteed":[223,247],"C":[229,265],"at":[235,256],"least":[236,257],"(1":[237],"\u2212":[238,259,263],"1/":[239,260],"e":[240,261],")OPT":[241,262],"\u03b5,":[266],"where":[267],"OPT":[268],"optimal":[271],"value.":[272],"Experiments":[273],"synthetic":[276],"real-world":[278],"data":[279],"proposed":[283],"significantly":[285],"improve":[286],"over":[287],"previous":[288],"state-of-the-art":[289],"methods":[290],"terms":[292],"estimated":[298],"quality":[302],"selected":[305],"influence,":[310],"easily":[316],"nodes.":[324]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
