{"id":"https://openalex.org/W2936182428","doi":"https://doi.org/10.1109/eurocon.2019.8861514","title":"Predicting Social Network Users with Depression from Simulated Temporal Data","display_name":"Predicting Social Network Users with Depression from Simulated Temporal Data","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2936182428","doi":"https://doi.org/10.1109/eurocon.2019.8861514","mag":"2936182428"},"language":"en","primary_location":{"id":"doi:10.1109/eurocon.2019.8861514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eurocon.2019.8861514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE EUROCON 2019 -18th International Conference on Smart Technologies","raw_type":"proceedings-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/A5051852977","display_name":"Akkapon Wongkoblap","orcid":"https://orcid.org/0000-0002-9355-1981"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Akkapon Wongkoblap","raw_affiliation_strings":["Department of Informatics, Kings College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Kings College London, London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045073586","display_name":"Miguel A. Vadillo","orcid":"https://orcid.org/0000-0001-8421-816X"},"institutions":[{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Miguel A. Vadillo","raw_affiliation_strings":["Departamento de Psicologa Bsica, Universidad Autnoma de Madrid, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Psicologa Bsica, Universidad Autnoma de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I63634437"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035648750","display_name":"Vasa \u0106ur\u010din","orcid":"https://orcid.org/0000-0002-8308-2886"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vasa Curcin","raw_affiliation_strings":["School of Population Health and Environmental Sciences, Kings College London, London, UK"],"affiliations":[{"raw_affiliation_string":"School of Population Health and Environmental Sciences, Kings College London, London, UK","institution_ids":["https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051852977"],"corresponding_institution_ids":["https://openalex.org/I183935753"],"apc_list":null,"apc_paid":null,"fwci":1.8947,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.85470848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.996399998664856,"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":0.9948999881744385,"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/computer-science","display_name":"Computer science","score":0.7702925205230713},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6443236470222473},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5962042808532715},{"id":"https://openalex.org/keywords/depression","display_name":"Depression (economics)","score":0.5889454483985901},{"id":"https://openalex.org/keywords/predictive-power","display_name":"Predictive power","score":0.5807768106460571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5483055114746094},{"id":"https://openalex.org/keywords/mental-health","display_name":"Mental health","score":0.5047098398208618},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5022933483123779},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.49846577644348145},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4554866850376129},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.444768488407135},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.42466896772384644},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3376670777797699},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.28185421228408813},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21836614608764648},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.14391276240348816},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14157521724700928},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.0976560115814209}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7702925205230713},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6443236470222473},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5962042808532715},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.5889454483985901},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.5807768106460571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5483055114746094},{"id":"https://openalex.org/C134362201","wikidata":"https://www.wikidata.org/wiki/Q317309","display_name":"Mental health","level":2,"score":0.5047098398208618},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5022933483123779},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.49846577644348145},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4554866850376129},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.444768488407135},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.42466896772384644},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3376670777797699},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.28185421228408813},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21836614608764648},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.14391276240348816},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14157521724700928},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0976560115814209},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/eurocon.2019.8861514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eurocon.2019.8861514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE EUROCON 2019 -18th International Conference on Smart Technologies","raw_type":"proceedings-article"},{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/0ad268b3-3a7e-45e6-a34c-ac4d7b72e0b4","is_oa":false,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/0ad268b3-3a7e-45e6-a34c-ac4d7b72e0b4","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wongkoblap, A, Vadillo Nistal, M A & Curcin, V 2019, Predicting Social Network Users with Depression from Simulated Temporal Data. in Proceedings - 18th International Conference on Smart Technologies, IEEE EUROCON 2019.","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:publications/0ad268b3-3a7e-45e6-a34c-ac4d7b72e0b4","is_oa":false,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/predicting-social-network-users-with-depression-from-simulated-temporal-data(0ad268b3-3a7e-45e6-a34c-ac4d7b72e0b4).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2402700","https://openalex.org/W1553795439","https://openalex.org/W1663973292","https://openalex.org/W1779879527","https://openalex.org/W1895577753","https://openalex.org/W2009086942","https://openalex.org/W2067624665","https://openalex.org/W2112778345","https://openalex.org/W2138600229","https://openalex.org/W2152202842","https://openalex.org/W2154868463","https://openalex.org/W2170240176","https://openalex.org/W2250539671","https://openalex.org/W2250553926","https://openalex.org/W2402144811","https://openalex.org/W2407776548","https://openalex.org/W2470673105","https://openalex.org/W2560886373","https://openalex.org/W2602628430","https://openalex.org/W2729451077","https://openalex.org/W2769436106","https://openalex.org/W2805917671","https://openalex.org/W2963012544","https://openalex.org/W2964121744","https://openalex.org/W2972562299","https://openalex.org/W6633288711","https://openalex.org/W6685053522","https://openalex.org/W6713582272","https://openalex.org/W6767879609"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W3017902212","https://openalex.org/W2964335273","https://openalex.org/W2982145560","https://openalex.org/W2969450769"],"abstract_inverted_index":{"Mental":[0],"health":[1,12,54],"issues":[2],"are":[3,38],"widely":[4],"accepted":[5],"as":[6],"one":[7],"of":[8,30,87,100,116,152],"the":[9,15,85,150],"most":[10],"prominent":[11],"challenges":[13],"in":[14,56],"world,":[16],"with":[17,68,96,134,157],"over":[18],"300":[19],"million":[20],"people":[21],"currently":[22],"suffering":[23],"from":[24,105],"depression":[25],"alone.":[26],"With":[27],"massive":[28],"volumes":[29],"user-generated":[31],"data":[32],"on":[33],"social":[34,93],"networking":[35],"platforms,":[36],"researchers":[37],"increasingly":[39],"using":[40],"machine":[41],"learning":[42,71],"to":[43,51,61,91,103,108,131],"determine":[44],"whether":[45,63],"this":[46],"content":[47],"can":[48,83,121,127,148],"be":[49,129],"used":[50,130],"detect":[52,92],"mental":[53],"problems":[55],"users.":[57],"This":[58,136],"study":[59,137],"aims":[60],"investigate":[62],"training":[64,140],"a":[65,88,141,153],"predictive":[66,89],"model":[67,90,143,155],"multiple":[69],"instance":[70],"(MIL)":[72],"via":[73,144],"Long":[74],"Short-Term":[75],"Memory":[76],"(LSTM)":[77],"and":[78,146],"gated":[79],"recurrent":[80],"unit":[81],"(GRU)":[82],"improve":[84,149],"performance":[86],"network":[94],"users":[95,133],"depression.":[97,135],"The":[98],"power":[99],"MIL":[101,142,154],"is":[102],"learn":[104],"user-level":[106],"labels":[107],"identify":[109],"post-level":[110],"labels.":[111],"By":[112],"combining":[113],"every":[114],"possibility":[115],"posts":[117],"label":[118],"category,":[119],"it":[120],"generate":[122],"temporal":[123],"posting":[124],"profiles":[125],"which":[126],"then":[128],"classify":[132],"highlights":[138],"that":[139],"LSTM":[145],"GRU":[147],"accuracy":[151],"trained":[156],"convolutional":[158],"neural":[159],"networks.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
