{"id":"https://openalex.org/W2475173326","doi":"https://doi.org/10.1177/0165551516657712","title":"A social recommender system by combining social network and sentiment similarity: A case study of healthcare","display_name":"A social recommender system by combining social network and sentiment similarity: A case study of healthcare","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2475173326","doi":"https://doi.org/10.1177/0165551516657712","mag":"2475173326"},"language":"en","primary_location":{"id":"doi:10.1177/0165551516657712","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551516657712","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","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/A5055223920","display_name":"Donghui Yang","orcid":"https://orcid.org/0000-0002-9447-3161"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Donghui Yang","raw_affiliation_strings":["Southeast University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101528012","display_name":"Chao Huang","orcid":"https://orcid.org/0000-0003-4995-1002"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Huang","raw_affiliation_strings":["Southeast University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101919658","display_name":"Mingyang Wang","orcid":"https://orcid.org/0000-0003-0525-6120"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyang Wang","raw_affiliation_strings":["Northeast Forestry University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeast Forestry University, China","institution_ids":["https://openalex.org/I47689461"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055223920"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":10.351,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.98007133,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"43","issue":"5","first_page":"635","last_page":"648"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9929999709129333,"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/recommender-system","display_name":"Recommender system","score":0.8980890512466431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.824504017829895},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.6098584532737732},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5973353981971741},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5548372268676758},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5473499298095703},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5357740521430969},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5351254940032959},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5278741717338562},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.44671157002449036},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40334856510162354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27352261543273926}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8980890512466431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.824504017829895},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.6098584532737732},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5973353981971741},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5548372268676758},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5473499298095703},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5357740521430969},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5351254940032959},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5278741717338562},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.44671157002449036},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40334856510162354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27352261543273926},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0165551516657712","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551516657712","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W204283630","https://openalex.org/W290370860","https://openalex.org/W1479916289","https://openalex.org/W1570823489","https://openalex.org/W1690919088","https://openalex.org/W1980672078","https://openalex.org/W1981900906","https://openalex.org/W1986896721","https://openalex.org/W2005624335","https://openalex.org/W2024818197","https://openalex.org/W2034040856","https://openalex.org/W2035265584","https://openalex.org/W2043976122","https://openalex.org/W2047250807","https://openalex.org/W2055919595","https://openalex.org/W2075457132","https://openalex.org/W2081912971","https://openalex.org/W2084526256","https://openalex.org/W2089311464","https://openalex.org/W2097726431","https://openalex.org/W2108972737","https://openalex.org/W2114655029","https://openalex.org/W2115023510","https://openalex.org/W2122885846","https://openalex.org/W2125199477","https://openalex.org/W2133266261","https://openalex.org/W2135838082","https://openalex.org/W2136676173","https://openalex.org/W2140524774","https://openalex.org/W2145402497","https://openalex.org/W2145622908","https://openalex.org/W2153646183","https://openalex.org/W2160268549","https://openalex.org/W2167032986","https://openalex.org/W2169459809","https://openalex.org/W2171960770","https://openalex.org/W2248591720","https://openalex.org/W2282239219","https://openalex.org/W2294782916","https://openalex.org/W2323217484","https://openalex.org/W3037946710","https://openalex.org/W3106444211","https://openalex.org/W3122498513","https://openalex.org/W3125334212","https://openalex.org/W3151491250","https://openalex.org/W4205184193"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W4376854386","https://openalex.org/W3014393615"],"abstract_inverted_index":{"Social":[0],"recommender":[1,30,43,153,192],"systems":[2],"aim":[3],"to":[4,62,125,149,159],"support":[5],"user":[6],"preferences":[7],"and":[8,20,51,64,131,158],"help":[9],"users":[10,108,133],"make":[11,150],"better":[12],"decisions":[13],"in":[14,28],"social":[15,18,22,29,42,52,152,191],"media.":[16],"The":[17,142,177],"network":[19,48,95],"the":[21,66,75,93,98,103,127,139,151,165],"context":[23,53],"are":[24,60,123],"two":[25,146],"vital":[26],"elements":[27],"systems.":[31,193],"In":[32,97],"this":[33,169],"contribution,":[34],"we":[35,101,167],"propose":[36],"a":[37,41,70,85,111],"new":[38,170],"framework":[39,171],"for":[40,80],"system":[44,154],"based":[45,109],"on":[46,110,138],"both":[47],"structure":[49,68],"analysis":[50],"mining.":[54],"Exponential":[55],"random":[56],"graph":[57],"models":[58],"(ERGMs)":[59],"able":[61],"capture":[63],"simulate":[65],"complex":[67],"of":[69,106,144,180,183],"micro-blog":[71,82,94,107],"network.":[72],"We":[73],"derive":[74],"prediction":[76],"formula":[77],"from":[78,118],"ERGMs":[79],"recommending":[81],"users.":[83],"Then,":[84],"primary":[86,128],"recommendation":[87,129,178],"list":[88,130],"is":[89,116,148],"created":[90],"by":[91],"analysing":[92],"structure.":[96],"next":[99],"step,":[100],"calculate":[102],"sentiment":[104,112],"similarities":[105,122],"feature":[113],"set":[114],"which":[115],"extracted":[117],"users\u2019":[119,161],"tweets.":[120],"Sentiment":[121],"used":[124],"filter":[126],"find":[132],"who":[134],"have":[135],"similar":[136],"attitudes":[137],"same":[140],"topic.":[141],"goal":[143],"those":[145],"steps":[147],"much":[155],"more":[156],"precise":[157],"satisfy":[160],"psychological":[162],"preferences.":[163],"At":[164],"end,":[166],"use":[168],"deal":[172],"with":[173],"big":[174],"real-world":[175],"data.":[176],"results":[179],"diabetes":[181],"accounts":[182],"Weibo":[184],"show":[185],"that":[186],"our":[187],"method":[188],"outperforms":[189],"other":[190]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-05-05T06:06:40.768181","created_date":"2025-10-10T00:00:00"}