{"id":"https://openalex.org/W2964273754","doi":"https://doi.org/10.3233/978-1-61499-419-0-955","title":"How good is the Shapley value-based approach to the influence maximization problem?","display_name":"How good is the Shapley value-based approach to the influence maximization problem?","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2964273754","doi":"https://doi.org/10.3233/978-1-61499-419-0-955","mag":"2964273754"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-419-0-955","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-419-0-955","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/978-1-61499-419-0-955","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081148743","display_name":"Kamil Adamczewski","orcid":"https://orcid.org/0000-0002-2917-4392"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB","KR"],"is_corresponding":false,"raw_author_name":"Adamczewski Kamil","raw_affiliation_strings":["University of Oxford, Seoul National University#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford, Seoul National University#TAB#","institution_ids":["https://openalex.org/I139264467","https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013110341","display_name":"Szymon Matejczyk","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"government","lineage":["https://openalex.org/I99542240"]}],"countries":["CZ","PL"],"is_corresponding":false,"raw_author_name":"Matejczyk Szymon","raw_affiliation_strings":["Institute of Computer Science, Polish Academy of Sciences,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Polish Academy of Sciences,","institution_ids":["https://openalex.org/I4210155092","https://openalex.org/I99542240"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025396810","display_name":"Tomasz Michalak","orcid":"https://orcid.org/0000-0002-5288-0324"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]},{"id":"https://openalex.org/I4654613","display_name":"University of Warsaw","ror":"https://ror.org/039bjqg32","country_code":"PL","type":"education","lineage":["https://openalex.org/I4654613"]}],"countries":["GB","PL"],"is_corresponding":false,"raw_author_name":"Michalak Tomasz P.","raw_affiliation_strings":["University of Oxford, University of Warsaw#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford, University of Warsaw#TAB#","institution_ids":["https://openalex.org/I4654613","https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.3440367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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/T11031","display_name":"Game Theory and Applications","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9865000247955322,"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/T10991","display_name":"Game Theory and Voting Systems","score":0.9706000089645386,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/shapley-value","display_name":"Shapley value","score":0.9427167177200317},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6390726566314697},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5636634230613708},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5427910685539246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5418702960014343},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5068932175636292},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4883715510368347},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4597395360469818},{"id":"https://openalex.org/keywords/cooperative-game-theory","display_name":"Cooperative game theory","score":0.4343607723712921},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.42551150918006897},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.4020766019821167},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3948584198951721},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.34788256883621216},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2293962836265564},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10147401690483093},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09582361578941345}],"concepts":[{"id":"https://openalex.org/C199022921","wikidata":"https://www.wikidata.org/wiki/Q240046","display_name":"Shapley value","level":3,"score":0.9427167177200317},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6390726566314697},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5636634230613708},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5427910685539246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5418702960014343},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5068932175636292},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4883715510368347},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4597395360469818},{"id":"https://openalex.org/C2781416736","wikidata":"https://www.wikidata.org/wiki/Q105354050","display_name":"Cooperative game theory","level":3,"score":0.4343607723712921},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.42551150918006897},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.4020766019821167},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3948584198951721},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.34788256883621216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2293962836265564},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10147401690483093},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09582361578941345},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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},{"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-419-0-955","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-419-0-955","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/978-1-61499-419-0-955","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-419-0-955","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1543143196","https://openalex.org/W2056609785","https://openalex.org/W2061820396","https://openalex.org/W2108278206","https://openalex.org/W2161289211","https://openalex.org/W2166470254"],"related_works":["https://openalex.org/W3204498529","https://openalex.org/W2187416006","https://openalex.org/W1981630704","https://openalex.org/W1894585900","https://openalex.org/W2006581498","https://openalex.org/W2120220542","https://openalex.org/W2004258443","https://openalex.org/W2013832345","https://openalex.org/W1998066849","https://openalex.org/W4400489929"],"abstract_inverted_index":{"The":[0,87],"Shapley":[1,24,101],"value":[2,25],"has":[3],"been":[4],"recently":[5],"advocated":[6],"as":[7],"a":[8,32,52,81],"method":[9],"to":[10,34,46,93,104],"choose":[11],"the":[12,16,23,27,35,43,48,55,68,75,99],"seed":[13],"nodes":[14],"for":[15],"process":[17,56],"of":[18,31,51,57,63,71,84,89,98],"information":[19,58,105],"diffusion.":[20,106],"Intuitively,":[21],"since":[22],"evaluates":[26],"average":[28],"marginal":[29,49],"contribution":[30,50],"player":[33],"coalitional":[36],"game,":[37],"it":[38],"can":[39],"be":[40],"used":[41],"in":[42,54],"network":[44],"context":[45],"evaluate":[47],"node":[53],"diffusion":[59],"given":[60],"various":[61],"groups":[62],"already":[64],"'infected'":[65],"nodes.":[66],"Although":[67],"above":[69],"direction":[70],"research":[72],"seems":[73],"promising,":[74],"current":[76],"liter-":[77],"ature":[78],"is":[79,92],"missing":[80],"throughout":[82],"assessment":[83,97],"its":[85],"performance.":[86],"aim":[88],"this":[90],"work":[91],"provide":[94],"such":[95],"an":[96],"existing":[100],"value-based":[102],"approaches":[103]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-07-30T00:00:00"}