{"id":"https://openalex.org/W7020044191","doi":null,"title":"Interpretable and Effortless Techniques for Social Network Analysis","display_name":"Interpretable and Effortless Techniques for Social Network Analysis","publication_year":2022,"publication_date":"2022-12-21","ids":{"openalex":"https://openalex.org/W7020044191"},"language":"en","primary_location":{"id":"pmh:oai:digibug.ugr.es:10481/79151","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/10481/79151","pdf_url":"https://digibug.ugr.es/bitstream/10481/79151/4/82061%281%29.pdf","source":{"id":"https://openalex.org/S4306400567","display_name":"Institutional Repository of the University of Granada (University of Granada)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I173304897","host_organization_name":"Universidad de Granada","host_organization_lineage":["https://openalex.org/I173304897"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://digibug.ugr.es/bitstream/10481/79151/4/82061%281%29.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Aparicio, Manuel Francisco","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Aparicio, Manuel Francisco","raw_affiliation_strings":["Ingenier\u00eda Inform\u00e1tica y Telecomunicaciones Department of Computer Science and Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ingenier\u00eda Inform\u00e1tica y Telecomunicaciones Department of Computer Science and Artificial Intelligence","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.638700008392334,"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"}},"topics":[{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.638700008392334,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.09589999914169312,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.09160000085830688,"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/social-network-analysis","display_name":"social network analysis","score":0.968999981880188},{"id":"https://openalex.org/keywords/online-social-networks","display_name":"social networking sites","score":0.921999990940094},{"id":"https://openalex.org/keywords/feature-extraction-and-selection","display_name":"feature extraction and selection","score":0.625},{"id":"https://openalex.org/keywords/model-interpretability","display_name":"model interpretability","score":0.781000018119812},{"id":"https://openalex.org/keywords/model-reduction","display_name":"model reduction","score":0.675000011920929},{"id":"https://openalex.org/keywords/quantification","display_name":"quantification","score":0.6019999980926514},{"id":"https://openalex.org/keywords/classification-bias","display_name":"classification bias","score":0.5690000057220459},{"id":"https://openalex.org/keywords/twitter","display_name":"Twitter","score":0.625},{"id":"https://openalex.org/keywords/user-tracking","display_name":"user tracking","score":0.7039999961853027},{"id":"https://openalex.org/keywords/unstructured-text","display_name":"unstructured text","score":0.5379999876022339}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7153000235557556},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5996000170707703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5746999979019165},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5490999817848206},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5367000102996826},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4514000117778778},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41339999437332153},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.41260001063346863},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.3817000091075897},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.3801000118255615},{"id":"https://openalex.org/C2777946921","wikidata":"https://www.wikidata.org/wiki/Q7449044","display_name":"Semantic analysis (machine learning)","level":2,"score":0.37299999594688416},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3580999970436096},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.35569998621940613},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3458000123500824},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3391999900341034},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.3215000033378601},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.30169999599456787},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.28439998626708984},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C2987491872","wikidata":"https://www.wikidata.org/wiki/Q1990987","display_name":"Social analysis","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.26919999718666077}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:digibug.ugr.es:10481/79151","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/10481/79151","pdf_url":"https://digibug.ugr.es/bitstream/10481/79151/4/82061%281%29.pdf","source":{"id":"https://openalex.org/S4306400567","display_name":"Institutional Repository of the University of Granada (University of Granada)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I173304897","host_organization_name":"Universidad de Granada","host_organization_lineage":["https://openalex.org/I173304897"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"}],"best_oa_location":{"id":"pmh:oai:digibug.ugr.es:10481/79151","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/10481/79151","pdf_url":"https://digibug.ugr.es/bitstream/10481/79151/4/82061%281%29.pdf","source":{"id":"https://openalex.org/S4306400567","display_name":"Institutional Repository of the University of Granada (University of Granada)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I173304897","host_organization_name":"Universidad de Granada","host_organization_lineage":["https://openalex.org/I173304897"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G4641073222","display_name":null,"funder_award_id":"FFI2016-79748-R","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"},{"id":"https://openalex.org/G5193324772","display_name":null,"funder_award_id":"BES-2017-081202","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"}],"funders":[{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"},{"id":"https://openalex.org/F4320338080","display_name":"European Social Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7020044191.pdf","grobid_xml":"https://content.openalex.org/works/W7020044191.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W2404161646","https://openalex.org/W2493916176","https://openalex.org/W2594475271","https://openalex.org/W2599958080","https://openalex.org/W2787560479","https://openalex.org/W2798782420","https://openalex.org/W2896457183","https://openalex.org/W2951336455","https://openalex.org/W2963296777","https://openalex.org/W2964027122","https://openalex.org/W3005292323","https://openalex.org/W3030163527","https://openalex.org/W3032424409","https://openalex.org/W3138463926","https://openalex.org/W3156333129","https://openalex.org/W3195632141","https://openalex.org/W3196292858","https://openalex.org/W4285188720","https://openalex.org/W4285263248","https://openalex.org/W4286457278"],"related_works":["https://openalex.org/W3145708817","https://openalex.org/W2402817571","https://openalex.org/W2616454422","https://openalex.org/W3188521800","https://openalex.org/W3167580780","https://openalex.org/W7075634307","https://openalex.org/W3038883480","https://openalex.org/W3150096247","https://openalex.org/W3179656500","https://openalex.org/W3005314734"],"abstract_inverted_index":{"Social":[0],"Networking":[1],"Sites":[2],"(SNS)":[3],"are":[4,97,111,291,391],"the":[5,163,188,232,266,303,314,362,403],"most":[6],"important":[7],"way":[8],"of":[9,39,165,187,227,244,302,319,396,405,461,473],"communication":[10],"\\nnowadays.":[11],"They":[12,390],"have":[13,376,401],"changed":[14],"how":[15,25,273],"we":[16,191,210,239,264,290,306,360],"interact":[17],"with":[18,283,299],"our":[19,397],"friends":[20],"and":[21,33,50,79,84,91,107,128,134,190,196,247,261,323,355,359,374,388,399],"family,":[22],"\\nand":[23],"even":[24],"companies":[26],"target":[27],"their":[28],"clients,":[29],"conduct":[30,56],"market":[31,421],"analysis":[32,270],"\\nmake":[34],"business":[35],"decisions.":[36],"The":[37,370],"amount":[38],"data":[40,75],"that":[41,95,172,220,289,305,324,330],"is":[42,47,122,185,252,326],"being":[43,392],"generated":[44],"every":[45],"\\nday":[46],"virtually":[48],"unlimited,":[49],"it":[51,85,135,194,340],"can":[52,275,307],"be":[53,72,157,279],"used":[54,393],"to":[55,61,71,126,142,156,174,199,235,253,293,333,335,343],"social":[57,151,204,336,418],"media":[58],"analyses":[59],"\\nand/or":[60],"train":[62,308],"Machine":[63],"Learning":[64],"(ML)":[65],"models.":[66],"However,":[67],"many":[68,146,477],"handicaps":[69],"\\nneed":[70],"alleviated.":[73],"SNS":[74,284],"is,":[76],"typically,":[77],"unstructured":[78],"written":[80],"in":[81,118,150,193,297,430],"\\nnatural":[82],"language,":[83],"presents":[86],"misspelled":[87],"words,":[88],"contractions,":[89],"emojis,":[90],"\\nnew":[92],"semantic":[93],"units":[94],"sometimes":[96],"a":[98,137,166,241,300,349,454],"heavy":[99],"burden":[100],"for":[101,113,140,352,380],"learning":[102],"algorithms.":[103],"\\nA":[104],"large":[105,295],"dataset":[106],"multiple":[108],"preprocessing":[109],"steps":[110],"essential":[112],"almost":[114],"any":[115],"\\nML":[116],"application":[117],"SNS.":[119],"\\nUnfortunately,":[120],"there":[121],"an":[123,178,451],"inherent":[124],"cost":[125],"gather":[127],"build":[129,294],"labelled":[130],"databases":[131,296],"\\n(human":[132],"effort),":[133],"constitutes":[136],"major":[138],"drawback":[139],"low-":[141],"mid-budget":[143],"\\nventures.":[144],"Additionally,":[145],"applications":[147],"may":[148],"result":[149],"consequences,":[152],"\\nthus":[153],"they":[154,400],"need":[155],"audited.":[158],"Both":[159],"objectives":[160],"fall":[161],"into":[162],"interest":[164],"multidisciplinary":[167],"\\nproject":[168],"called":[169],"\u00aa":[170],"Nutcracker,":[171],"aims":[173],"detect,":[175],"track,":[176],"monitor":[177],"\\nanalyse":[179],"radical":[180],"discourse":[181],"online.":[182],"This":[183],"dissertation":[184],"part":[186],"project,":[189],"\\npropose":[192],"effortless":[195],"interpretable":[197,309],"mechanisms":[198],"tackle":[200],"aforementioned":[201],"\\ndisadvantages,":[202],"using":[203],"network\u2019s":[205],"mechanics":[206],"as":[207,311,313,383],"leverage.":[208],"First,":[209],"present":[211,240],"\\na":[212,327],"reasoning":[213],"mechanism":[214],"based":[215],"on":[216],"similarity":[217],"between":[218],"users,":[219,229],"will":[221],"allow":[222],"us":[223],"\\nto":[224],"deduce":[225],"properties":[226],"unknown":[228],"hence":[230],"reducing":[231],"effort":[233],"required":[234],"\\nbuild":[236],"databases.":[237],"Then,":[238],"new":[242],"kind":[243],"feature":[245],"extraction":[246],"selection":[248],"\\nmethod":[249],"whose":[250],"purpose":[251],"reduce":[254],"model":[255],"complexity,":[256],"thus":[257],"enhancing":[258],"\\nmodel":[259],"comprehensibility":[260],"transparency.":[262],"Finally,":[263],"study":[265],"peculiarities":[267],"\\nof":[268],"aggregated":[269],"and,":[271],"particularly,":[272],"well":[274],"class":[276],"prevalence":[277],"count":[278],"\\nestimated":[280],"when":[281],"working":[282,413],"data.":[285],"\\nOur":[286],"results":[287],"show":[288],"able":[292,342],"Twitter":[298],"\\nfraction":[301],"effort;":[304],"models":[310],"accurate":[312],"\\nbaselines":[315],"but":[316],"one":[317],"order":[318],"magnitude":[320],"less":[321],"complex;":[322],"quantification":[325],"novel":[328],"approach":[329],"has":[331],"much":[332],"offer":[334],"network":[337,419],"analysis,":[338,420,422],"since":[339],"\\nis":[341],"adjust":[344],"classification":[345],"bias.":[346],"We":[347],"developed":[348],"proof-of-concept":[350],"tool":[351],"\\neffortless":[353],"labelling":[354],"continuous":[356],"user":[357,445],"tracking,":[358,440],"tested":[361],"platform":[363],"by":[364,394],"\\nproducing":[365],"four":[366],"high-quality":[367],"weak-labelled":[368],"datasets.":[369],"proposed":[371],"techniques,":[372],"\\nmethodologies":[373],"tools":[375],"been":[377],"proven":[378],"useful":[379],"disciplines":[381],"such":[382],"\\ncomputational":[384],"linguistics,":[385],"political":[386,455],"science":[387],"cybersecurity.":[389],"members":[395],"team":[398],"raised":[402],"attention":[404],"Spanish":[406],"\\nCivil":[407],"Guard.":[408],"Applications":[409],"include":[410],"building":[411],"(and":[412],"with)":[414],"supervised":[415],"\\ndatabases":[416],"(e.g.,":[417,434,449],"customer":[423],"service,":[424],"\\nuser":[425],"profiling...);":[426],"reaching":[427],"full":[428],"transparency":[429],"automatic":[431],"decision-making":[432],"\\nalgorithms":[433],"preemptive":[435],"account":[436],"closing,":[437],"illegal":[438],"activity":[439],"hiring":[441],"\\npolicies...);":[442],"measuring":[443],"overall":[444],"opinion":[446],"or":[447,469],"sentiment":[448],"during":[450],"\\nevent":[452],"like":[453],"debate);":[456],"studying":[457],"mental":[458],"illnesses,":[459],"detection":[460],"epidemic":[462],"\\noutbreaks,":[463],"targeting":[464],"customers,":[465],"profiling":[466],"brand":[467],"ambassadors,":[468],"determining":[470],"\\nthe":[471],"impact":[472],"organised":[474],"communities,":[475],"among":[476],"others.":[478]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-10-10T00:00:00"}