{"id":"https://openalex.org/W2901267962","doi":"https://doi.org/10.1007/s10115-020-01456-1","title":"Tell me Something My Friends do not Know: Diversity Maximization in Social Networks","display_name":"Tell me Something My Friends do not Know: Diversity Maximization in Social Networks","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2901267962","doi":"https://doi.org/10.1007/s10115-020-01456-1","mag":"2901267962"},"language":"en","primary_location":{"id":"doi:10.1007/s10115-020-01456-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-020-01456-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-020-01456-1.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10115-020-01456-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086657710","display_name":"Antonis Matakos","orcid":"https://orcid.org/0000-0002-1003-7101"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Antonis Matakos","raw_affiliation_strings":["Department of Computer Science, Aalto University, Espoo, Finland","Aalto University, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sijing Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I32943570","display_name":"Helsinki Institute for Information Technology","ror":"https://ror.org/05kph4940","country_code":"FI","type":"facility","lineage":["https://openalex.org/I133731052","https://openalex.org/I32943570","https://openalex.org/I9927081"]},{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Sijing Tu","raw_affiliation_strings":["Department of Computer Science, Aalto University, Espoo, Finland","Helsinki Institute for Information Technology, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Helsinki Institute for Information Technology, Espoo, Finland","institution_ids":["https://openalex.org/I32943570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022164041","display_name":"Aristides Gionis","orcid":"https://orcid.org/0000-0002-5211-112X"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]},{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI","SE"],"is_corresponding":false,"raw_author_name":"Aristides Gionis","raw_affiliation_strings":["Department of Computer Science, Aalto University, Espoo, Finland","KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086657710"],"corresponding_institution_ids":["https://openalex.org/I9927081"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":1.9416,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90821656,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"62","issue":"9","first_page":"327","last_page":"336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9951000213623047,"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"}},"topics":[{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9951000213623047,"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"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.96670001745224,"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/T12288","display_name":"Optimization and Search Problems","score":0.957099974155426,"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/knapsack-problem","display_name":"Knapsack problem","score":0.8450464606285095},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.7919890880584717},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.680463433265686},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6284967064857483},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6244332790374756},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5800795555114746},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.5144510269165039},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46245574951171875},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.4606052041053772},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.44844937324523926},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.4382399618625641},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.42298778891563416},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3444145917892456},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2942242920398712},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.231746643781662},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.07955071330070496}],"concepts":[{"id":"https://openalex.org/C113138325","wikidata":"https://www.wikidata.org/wiki/Q864457","display_name":"Knapsack problem","level":2,"score":0.8450464606285095},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7919890880584717},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.680463433265686},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6284967064857483},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6244332790374756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5800795555114746},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.5144510269165039},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46245574951171875},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.4606052041053772},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.44844937324523926},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.4382399618625641},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42298778891563416},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3444145917892456},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2942242920398712},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.231746643781662},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.07955071330070496},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1007/s10115-020-01456-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-020-01456-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-020-01456-1.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"},{"id":"doi:10.1109/icdm.2018.00048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm.2018.00048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Data Mining (ICDM)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1811.10354","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.10354","pdf_url":"https://arxiv.org/pdf/1811.10354","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2901267962","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1811.10354","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/61679","is_oa":true,"landing_page_url":"https://research.aalto.fi/en/publications/381d4f2b-37be-479b-abea-c4da3581c6d4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401662","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.48550/arxiv.1811.10354","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1811.10354","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1007/s10115-020-01456-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-020-01456-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-020-01456-1.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G4109205870","display_name":null,"funder_award_id":"317085","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G6298704485","display_name":null,"funder_award_id":"286211","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G8641459973","display_name":null,"funder_award_id":"313927","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"}],"funders":[{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"id":"https://openalex.org/F4320321394","display_name":"Aalto-Yliopisto","ror":"https://ror.org/020hwjq30"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2901267962.pdf","grobid_xml":"https://content.openalex.org/works/W2901267962.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W11724259","https://openalex.org/W1582056940","https://openalex.org/W1929853451","https://openalex.org/W1985123706","https://openalex.org/W1996215314","https://openalex.org/W2023794141","https://openalex.org/W2041818766","https://openalex.org/W2078289947","https://openalex.org/W2078992232","https://openalex.org/W2082782506","https://openalex.org/W2085731449","https://openalex.org/W2087999447","https://openalex.org/W2119758323","https://openalex.org/W2137809006","https://openalex.org/W2152284345","https://openalex.org/W2160450239","https://openalex.org/W2161834943","https://openalex.org/W2250294758","https://openalex.org/W2339074936","https://openalex.org/W2471945448","https://openalex.org/W2585682652","https://openalex.org/W2615253071","https://openalex.org/W2734474937","https://openalex.org/W2768949389","https://openalex.org/W2963716229","https://openalex.org/W2963864976","https://openalex.org/W4234534407","https://openalex.org/W4240828654","https://openalex.org/W4250589301","https://openalex.org/W6603689333","https://openalex.org/W6631722374","https://openalex.org/W6683336164","https://openalex.org/W6685831122","https://openalex.org/W6743403128","https://openalex.org/W6747441081"],"related_works":["https://openalex.org/W2963864976","https://openalex.org/W2543722153","https://openalex.org/W2914248356","https://openalex.org/W3083774753","https://openalex.org/W1752253956","https://openalex.org/W2299835335","https://openalex.org/W3047907444","https://openalex.org/W2285412805","https://openalex.org/W2913321117","https://openalex.org/W1575346617","https://openalex.org/W3024466918","https://openalex.org/W2592375611","https://openalex.org/W2589634786","https://openalex.org/W2438490550","https://openalex.org/W1883264915","https://openalex.org/W2115386945","https://openalex.org/W3008500873","https://openalex.org/W2973248089","https://openalex.org/W2070199170","https://openalex.org/W3105752633"],"abstract_inverted_index":{"Abstract":[0],"Social":[1],"media":[2],"have":[3,16],"a":[4,21,52,94,154],"great":[5],"potential":[6],"to":[7,36,44,55,71,79,110,139],"improve":[8],"information":[9,77],"dissemination":[10],"in":[11,63],"our":[12,130],"society,":[13],"yet":[14],"they":[15],"been":[17],"held":[18],"accountable":[19],"for":[20,118,144],"number":[22],"of":[23,59,75,87,91,166],"undesirable":[24],"effects,":[25],"such":[26],"as":[27,93,122,124],"polarization":[28],"and":[29,41,106],"filter":[30,61],"bubbles.":[31],"It":[32],"is":[33,104,163],"thus":[34],"important":[35],"understand":[37],"these":[38],"negative":[39],"phenomena":[40],"develop":[42],"methods":[43],"combat":[45],"them.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50,108],"propose":[51],"novel":[53],"approach":[54],"address":[56],"the":[57,73,76,85,89,100,119,145,164],"problem":[58,86,103,147],"breaking":[60],"bubbles":[62],"social":[64],"media.":[65],"We":[66,83,97,128],"do":[67],"so":[68],"by":[69,115,159],"aiming":[70],"maximize":[72],"diversity":[74,90],"exposed":[78],"connected":[80],"social-media":[81],"users.":[82],"formulate":[84],"maximizing":[88],"exposure":[92],"quadratic-knapsack":[95,120],"problem.":[96],"show":[98],"that":[99,153],"proposed":[101,155],"diversity-maximization":[102],"inapproximable,":[105],"thus,":[107],"resort":[109],"polynomial":[111],"nonapproximable":[112],"algorithms,":[113],"inspired":[114],"solutions":[116],"developed":[117],"problem,":[121],"well":[123],"scalable":[125],"greedy":[126,156],"heuristics.":[127],"complement":[129],"algorithms":[131],"with":[132],"instance-specific":[133],"upper":[134],"bounds,":[135],"which":[136],"are":[137],"used":[138],"provide":[140],"empirical":[141],"approximation":[142],"guarantees":[143],"given":[146,168],"instances.":[148],"Our":[149],"experimental":[150],"evaluation":[151],"shows":[152],"algorithm":[157,165],"followed":[158],"randomized":[160],"local":[161],"search":[162],"choice":[167],"its":[169],"quality-vs.-efficiency":[170],"trade-off.":[171]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2020,"cited_by_count":4}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2022-08-01T00:00:00"}
