{"id":"https://openalex.org/W2982220181","doi":"https://doi.org/10.1109/bigdata47090.2019.9005619","title":"Maximizing Contrasting Opinions in Signed Social Networks","display_name":"Maximizing Contrasting Opinions in Signed Social Networks","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W2982220181","doi":"https://doi.org/10.1109/bigdata47090.2019.9005619","mag":"2982220181"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9005619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1910.12017","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075933534","display_name":"Kaivalya Rawal","orcid":"https://orcid.org/0000-0003-1087-4599"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Kaivalya Rawal","raw_affiliation_strings":["Nanyang Technological University, Singapore","Nanyang Technological University; Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University; Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019024971","display_name":"Arijit Khan","orcid":"https://orcid.org/0000-0002-7312-6312"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Arijit Khan","raw_affiliation_strings":["Nanyang Technological University, Singapore","Nanyang Technological University; Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University; Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075933534"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.1469,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47719952,"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":"1203","last_page":"1210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":1.0,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":1.0,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"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/T10557","display_name":"Social Media and Politics","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6896541118621826},{"id":"https://openalex.org/keywords/turnout","display_name":"Turnout","score":0.666996419429779},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6435163617134094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6254432201385498},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5598033666610718},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5225426554679871},{"id":"https://openalex.org/keywords/public-opinion","display_name":"Public opinion","score":0.5182142853736877},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5057971477508545},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4868902266025543},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4613838791847229},{"id":"https://openalex.org/keywords/voter-model","display_name":"Voter model","score":0.4190295934677124},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33387237787246704},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33166003227233887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24524295330047607},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.21194708347320557},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2092221975326538},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.17478889226913452},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16688385605812073},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.15787994861602783},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.1454581916332245},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12523359060287476},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.10335800051689148},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10301297903060913},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.09886318445205688}],"concepts":[{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6896541118621826},{"id":"https://openalex.org/C2779838221","wikidata":"https://www.wikidata.org/wiki/Q7856080","display_name":"Turnout","level":4,"score":0.666996419429779},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6435163617134094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6254432201385498},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5598033666610718},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5225426554679871},{"id":"https://openalex.org/C134698397","wikidata":"https://www.wikidata.org/wiki/Q17946","display_name":"Public opinion","level":3,"score":0.5182142853736877},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5057971477508545},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4868902266025543},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4613838791847229},{"id":"https://openalex.org/C2781396049","wikidata":"https://www.wikidata.org/wiki/Q7942158","display_name":"Voter model","level":2,"score":0.4190295934677124},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33387237787246704},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33166003227233887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24524295330047607},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.21194708347320557},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2092221975326538},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.17478889226913452},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16688385605812073},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.15787994861602783},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.1454581916332245},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12523359060287476},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.10335800051689148},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10301297903060913},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.09886318445205688},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9005619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1910.12017","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.12017","pdf_url":"https://arxiv.org/pdf/1910.12017","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"","raw_type":"text"},{"id":"mag:2982220181","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1910.12017.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"doi:10.48550/arxiv.1910.12017","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1910.12017","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1910.12017","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.12017","pdf_url":"https://arxiv.org/pdf/1910.12017","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2982220181.pdf","grobid_xml":"https://content.openalex.org/works/W2982220181.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W19838944","https://openalex.org/W589361081","https://openalex.org/W646032061","https://openalex.org/W808055529","https://openalex.org/W1497571527","https://openalex.org/W1502487903","https://openalex.org/W1512602432","https://openalex.org/W1567923358","https://openalex.org/W1575346617","https://openalex.org/W1971842701","https://openalex.org/W1984069252","https://openalex.org/W1994940238","https://openalex.org/W2000922801","https://openalex.org/W2015404705","https://openalex.org/W2042123098","https://openalex.org/W2051510192","https://openalex.org/W2053081145","https://openalex.org/W2061820396","https://openalex.org/W2073415627","https://openalex.org/W2103126699","https://openalex.org/W2112936255","https://openalex.org/W2113735004","https://openalex.org/W2114051435","https://openalex.org/W2114462887","https://openalex.org/W2177577987","https://openalex.org/W2214662296","https://openalex.org/W2424898826","https://openalex.org/W2585682652","https://openalex.org/W2780711780","https://openalex.org/W2800659152","https://openalex.org/W2963716229","https://openalex.org/W2964085918","https://openalex.org/W2964140784","https://openalex.org/W3008822140","https://openalex.org/W3101346006","https://openalex.org/W4211017427","https://openalex.org/W6630126921"],"related_works":["https://openalex.org/W3085993311","https://openalex.org/W2946589025","https://openalex.org/W2938430000","https://openalex.org/W2467782967","https://openalex.org/W2801241906","https://openalex.org/W2145287244","https://openalex.org/W2308925639","https://openalex.org/W2808160571","https://openalex.org/W2275270201","https://openalex.org/W2911692423","https://openalex.org/W2395094484","https://openalex.org/W2223687698","https://openalex.org/W2520848513","https://openalex.org/W2792932854","https://openalex.org/W3039869158","https://openalex.org/W2625956337","https://openalex.org/W3097693832","https://openalex.org/W1986437707","https://openalex.org/W2548377558","https://openalex.org/W2177577987"],"abstract_inverted_index":{"The":[0,35],"classic":[1],"influence":[2,30,66],"maximization":[3],"problem":[4,36,141],"finds":[5],"a":[6,14,64,70,114,155],"limited":[7],"number":[8,21],"of":[9,22,46,96,117,182],"influential":[10,87,109],"seed":[11,88],"users":[12,24,110],"in":[13,25,40,101,113,168],"social":[15],"network":[16],"such":[17,108,119],"that":[18,72],"the":[19,26,47,85,94,102,143,164,169,178,183],"expected":[20],"influenced":[23],"network,":[27],"following":[28],"an":[29],"cascade":[31],"model,":[32],"is":[33,111],"maximized.":[34],"has":[37],"been":[38],"studied":[39],"different":[41],"settings,":[42],"with":[43,78,134,142,173],"further":[44],"generalization":[45],"graph":[48],"structure,":[49],"e.g.,":[50],"edge":[51],"weights":[52],"and":[53,124,129,150,152,157,180],"polarities,":[54],"target":[55],"user":[56],"categories,":[57],"etc.":[58],"In":[59],"this":[60,139],"paper,":[61],"we":[62],"introduce":[63],"unique":[65],"diffusion":[67,149],"scenario":[68],"involving":[69],"population":[71],"split":[73],"into":[74],"two":[75,97,103],"distinct":[76],"groups,":[77,104],"opposing":[79],"views.":[80],"We":[81,137],"aim":[82],"at":[83],"finding":[84,107],"top-k":[86],"nodes":[89],"so":[90],"to":[91,146,187],"simultaneously":[92],"maximize":[93],"adoption":[95],"distinct,":[98],"antithetical":[99],"opinions":[100],"respectively.":[105],"Efficiently":[106],"essential":[112],"wide":[115],"range":[116],"applications":[118],"as":[120],"increasing":[121],"voter":[122,144],"engagement":[123],"turnout,":[125],"steering":[126],"public":[127],"debates":[128],"discussions":[130],"on":[131],"societal":[132],"issues":[133],"contentious":[135],"opinions.":[136],"formulate":[138],"novel":[140],"model":[145],"simulate":[147],"opinion":[148,166],"dynamics,":[151],"then":[153],"design":[154],"linear-time":[156],"exact":[158],"algorithm":[159],"COSiNeMax,":[160],"while":[161],"also":[162],"investigating":[163],"long-term":[165],"characteristics":[167],"network.":[170],"Our":[171],"experiments":[172],"several":[174],"real-world":[175],"datasets":[176],"demonstrate":[177],"effectiveness":[179],"efficiency":[181],"proposed":[184],"algorithm,":[185],"compared":[186],"various":[188],"baselines.":[189]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}