{"id":"https://openalex.org/W4392445383","doi":"https://doi.org/10.1145/3616901.3616928","title":"Depression Detection from Network Behavior using Anomaly Detection and Feature Extraction Techniques","display_name":"Depression Detection from Network Behavior using Anomaly Detection and Feature Extraction Techniques","publication_year":2023,"publication_date":"2023-04-14","ids":{"openalex":"https://openalex.org/W4392445383","doi":"https://doi.org/10.1145/3616901.3616928"},"language":"en","primary_location":{"id":"doi:10.1145/3616901.3616928","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616901.3616928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Frontiers of Artificial Intelligence and Machine Learning","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":null,"display_name":"Lin Li","orcid":"https://orcid.org/0009-0004-9240-0729"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Li","raw_affiliation_strings":["Lanzhou University, China"],"raw_orcid":"https://orcid.org/0009-0004-9240-0729","affiliations":[{"raw_affiliation_string":"Lanzhou University, China","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103023374","display_name":"Long Hao Li","orcid":"https://orcid.org/0009-0008-1148-2566"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Hao Li","raw_affiliation_strings":["Lanzhou University, China"],"raw_orcid":"https://orcid.org/0009-0008-1148-2566","affiliations":[{"raw_affiliation_string":"Lanzhou University, China","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102872052","display_name":"Lixiao Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixiao Yang","raw_affiliation_strings":["Lanzhou University, China"],"raw_orcid":"https://orcid.org/0009-0001-7517-3526","affiliations":[{"raw_affiliation_string":"Lanzhou University, China","institution_ids":["https://openalex.org/I76214153"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76214153"],"apc_list":null,"apc_paid":null,"fwci":0.2326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62818764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"118","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T13283","display_name":"Mental Health Research Topics","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T11519","display_name":"Digital Mental Health Interventions","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied 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/T10272","display_name":"Mental Health Treatment and Access","score":0.9825999736785889,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7378632426261902},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7109911441802979},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.6837917566299438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6357424259185791},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5674116015434265},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5187918543815613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45752274990081787},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4565259516239166},{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.4483090341091156},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44757914543151855},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.4236133396625519},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36259111762046814},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1935114860534668},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10915544629096985},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.06976065039634705},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06643563508987427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7378632426261902},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7109911441802979},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.6837917566299438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6357424259185791},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5674116015434265},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5187918543815613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45752274990081787},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4565259516239166},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.4483090341091156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44757914543151855},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.4236133396625519},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36259111762046814},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1935114860534668},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10915544629096985},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.06976065039634705},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06643563508987427},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3616901.3616928","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616901.3616928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Frontiers of Artificial Intelligence and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1431546353","https://openalex.org/W2007909468","https://openalex.org/W2067652354","https://openalex.org/W2106686523","https://openalex.org/W2132322340","https://openalex.org/W2132870739","https://openalex.org/W2132984323","https://openalex.org/W2144182447","https://openalex.org/W2296719434","https://openalex.org/W2513928994","https://openalex.org/W2548913358","https://openalex.org/W2890085824","https://openalex.org/W2897583329","https://openalex.org/W2911964244","https://openalex.org/W2940071312","https://openalex.org/W3005773313","https://openalex.org/W3184273986","https://openalex.org/W4254902779"],"related_works":["https://openalex.org/W3039673966","https://openalex.org/W4293699968","https://openalex.org/W2002351707","https://openalex.org/W2035096001","https://openalex.org/W4312843811","https://openalex.org/W2327035729","https://openalex.org/W2923621274","https://openalex.org/W3112414093","https://openalex.org/W4210319752","https://openalex.org/W2101918547"],"abstract_inverted_index":{"Depression":[0],"is":[1,47],"a":[2,8,37,51,66,74],"common":[3],"mood":[4],"disorder":[5],"that":[6,143],"affects":[7],"significant":[9],"portion":[10],"of":[11,26,121],"the":[12,24,27,34,94,107,113,119,136],"population.":[13],"Traditional":[14],"depression":[15,39,63,79],"diagnosis":[16],"methods":[17],"have":[18,147],"limitations,":[19,36],"which":[20,84,111],"always":[21],"depend":[22],"on":[23,43],"experience":[25],"clinician":[28],"and":[29,54,101,129,139,153],"are":[30,132],"subjective.":[31],"To":[32,117],"overcome":[33],"above":[35],"new":[38],"detection":[40,89,125,127],"method":[41],"based":[42],"users'":[44],"network":[45,81],"behaviors":[46],"expected":[48],"to":[49,58],"provide":[50],"fast,":[52],"real-time,":[53],"accurate":[55],"diagnostic":[56],"tool":[57],"help":[59],"people":[60],"deal":[61],"with":[62],"problems":[64],"in":[65,93],"timely":[67],"manner.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72,105],"propose":[73],"novel":[75],"approach":[76],"for":[77],"detecting":[78],"by":[80],"time-series":[82],"data,":[83],"adapts":[85],"an":[86],"improved":[87,123],"anomaly":[88,124],"method,":[90,126],"i.e.,":[91],"DBSC-LOF":[92],"feature":[95],"engineering":[96],"stage.":[97],"By":[98],"combining":[99],"statistical":[100],"frequency-domain":[102],"features":[103,146],"extracted,":[104],"select":[106],"best":[108,114],"classifier":[109],"AdaBoost":[110],"has":[112],"overall":[115],"performance.":[116],"evaluate":[118],"ability":[120],"our":[122,144],"accuracy":[128],"computation":[130],"time":[131],"tested.":[133],"Also,":[134],"both":[135],"significance":[137],"test":[138],"contribution":[140],"assessment":[141],"demonstrate":[142],"extracted":[145],"great":[148],"distinguishing":[149],"abilities":[150],"between":[151],"depressed":[152],"normal":[154],"users.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}