{"id":"https://openalex.org/W2735352870","doi":"https://doi.org/10.1145/3091478.3091494","title":"Predicting Trust Relations Within a Social Network","display_name":"Predicting Trust Relations Within a Social Network","publication_year":2017,"publication_date":"2017-06-25","ids":{"openalex":"https://openalex.org/W2735352870","doi":"https://doi.org/10.1145/3091478.3091494","mag":"2735352870"},"language":"en","primary_location":{"id":"doi:10.1145/3091478.3091494","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3091478.3091494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Web Science Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5080114650","display_name":"Nikhita Vedula","orcid":"https://orcid.org/0000-0003-4857-5308"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikhita Vedula","raw_affiliation_strings":["Ohio State University, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755351","display_name":"Srinivasan Parthasarathy","orcid":"https://orcid.org/0000-0002-6062-6449"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srinivasan Parthasarathy","raw_affiliation_strings":["Ohio State University, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108053995","display_name":"Valerie L. Shalin","orcid":"https://orcid.org/0000-0001-8135-2793"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Valerie L. Shalin","raw_affiliation_strings":["Wright State University, Dayton, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wright State University, Dayton, OH, USA","institution_ids":["https://openalex.org/I19648265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5083,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.90742158,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9933000206947327,"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":0.9933000206947327,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.6893151998519897},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6558288931846619},{"id":"https://openalex.org/keywords/normative","display_name":"Normative","score":0.6522178053855896},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.5429598093032837},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.522301435470581},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.466992050409317},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4617716073989868},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4457533657550812},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.44168710708618164},{"id":"https://openalex.org/keywords/underpinning","display_name":"Underpinning","score":0.4138275980949402},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3518635332584381},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24192726612091064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21923679113388062},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.14427712559700012},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.12938129901885986},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07997044920921326}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6893151998519897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6558288931846619},{"id":"https://openalex.org/C44725695","wikidata":"https://www.wikidata.org/wiki/Q288156","display_name":"Normative","level":2,"score":0.6522178053855896},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.5429598093032837},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.522301435470581},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.466992050409317},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4617716073989868},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4457533657550812},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.44168710708618164},{"id":"https://openalex.org/C2780871342","wikidata":"https://www.wikidata.org/wiki/Q7883752","display_name":"Underpinning","level":2,"score":0.4138275980949402},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3518635332584381},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24192726612091064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21923679113388062},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.14427712559700012},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.12938129901885986},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07997044920921326},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","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":1,"locations":[{"id":"doi:10.1145/3091478.3091494","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3091478.3091494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Web Science Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8585119406","display_name":"Hazards SEES: Social and Physical Sensing Enabled Decision Support for Disaster Management  and Response","funder_award_id":"1520870","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W43037849","https://openalex.org/W120301130","https://openalex.org/W628400181","https://openalex.org/W850481693","https://openalex.org/W1489278104","https://openalex.org/W1500109124","https://openalex.org/W1502916507","https://openalex.org/W1511343964","https://openalex.org/W1550071148","https://openalex.org/W1556923582","https://openalex.org/W1590111181","https://openalex.org/W1814023381","https://openalex.org/W1854214752","https://openalex.org/W1985109665","https://openalex.org/W1987425720","https://openalex.org/W1996218898","https://openalex.org/W2009205701","https://openalex.org/W2010739533","https://openalex.org/W2012679078","https://openalex.org/W2012833704","https://openalex.org/W2013029404","https://openalex.org/W2019512103","https://openalex.org/W2028513945","https://openalex.org/W2032741002","https://openalex.org/W2036858833","https://openalex.org/W2040017767","https://openalex.org/W2042123098","https://openalex.org/W2045049260","https://openalex.org/W2045633722","https://openalex.org/W2053266703","https://openalex.org/W2053906518","https://openalex.org/W2061820396","https://openalex.org/W2068399434","https://openalex.org/W2069870183","https://openalex.org/W2073415627","https://openalex.org/W2076219102","https://openalex.org/W2081212507","https://openalex.org/W2082945558","https://openalex.org/W2084445547","https://openalex.org/W2094710333","https://openalex.org/W2095942159","https://openalex.org/W2101196063","https://openalex.org/W2102479365","https://openalex.org/W2107219896","https://openalex.org/W2109469951","https://openalex.org/W2118942057","https://openalex.org/W2127048411","https://openalex.org/W2131756982","https://openalex.org/W2138621811","https://openalex.org/W2138825227","https://openalex.org/W2144780381","https://openalex.org/W2156523427","https://openalex.org/W2156855109","https://openalex.org/W2174706414","https://openalex.org/W2185001246","https://openalex.org/W2398182780","https://openalex.org/W2479751316","https://openalex.org/W2514893530","https://openalex.org/W2606327720","https://openalex.org/W2752932982","https://openalex.org/W2978422749","https://openalex.org/W3142703711"],"related_works":["https://openalex.org/W623382837","https://openalex.org/W2155197844","https://openalex.org/W2349226017","https://openalex.org/W2349376052","https://openalex.org/W4388543378","https://openalex.org/W2093477105","https://openalex.org/W2375628069","https://openalex.org/W2358280189","https://openalex.org/W2369522881","https://openalex.org/W1968398406"],"abstract_inverted_index":{"Trust":[0],"is":[1,70,114],"a":[2],"fundamental":[3],"construct":[4],"underpinning":[5],"modern":[6],"society":[7],"and":[8,20,38,44,61,97,120,126,139,153],"the":[9,21,29,51,79,90,92,98,103,106,115],"social":[10,26,37,83],"exchanges":[11,125],"it":[12],"contains.":[13],"The":[14],"rise":[15],"of":[16,24,31,53,82,117],"Web":[17],"2.0":[18],"technologies":[19],"increased":[22],"use":[23],"online":[25],"networks,":[27],"promotes":[28],"study":[30],"trust":[32,46,66,132],"among":[33],"users.":[34],"Drawing":[35],"on":[36],"psychological":[39],"theory,":[40],"we":[41,77],"detect":[42],"pairwise":[43,65],"global":[45],"relations":[47],"between":[48,68],"users":[49,69,104],"in":[50,73,105,123,129],"context":[52],"emergent":[54],"real-world":[55],"crisis":[56,152],"scenarios.":[57],"In":[58],"such":[59,124],"situations":[60],"scale,":[62],"seeking":[63],"explicit":[64],"assessments":[67],"impractical.":[71],"Instead,":[72],"an":[74],"unsupervised":[75],"manner":[76],"integrate":[78],"implicit":[80],"factors":[81],"influence":[84,119],"exerted":[85],"by":[86,102],"each":[87],"user":[88],"over":[89,143],"network,":[91],"underlying":[93],"network":[94],"structural":[95],"topology":[96],"affective":[99,121],"valence":[100,122],"expressed":[101],"textual":[107],"content":[108],"they":[109],"communicate.":[110],"A":[111],"key":[112],"finding":[113],"importance":[116],"modeling":[118],"their":[127],"role":[128],"detecting":[130],"stable":[131],"relationships.":[133],"We":[134],"extensively":[135],"evaluate":[136],"these":[137],"ideas":[138],"demonstrate":[140],"significant":[141],"gains":[142],"competitive":[144],"baselines":[145],"across":[146],"multiple":[147],"datasets":[148],"drawn":[149],"from":[150],"both":[151],"non-crisis":[154],"scenarios,":[155],"including":[156],"those":[157],"with":[158],"normative":[159],"ground":[160],"truth.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
