{"id":"https://openalex.org/W3137564253","doi":"https://doi.org/10.1109/bigdata50022.2020.9378492","title":"A Graph Neural Network For Assessing The Affective Coherence Of Twitter Graphs","display_name":"A Graph Neural Network For Assessing The Affective Coherence Of Twitter Graphs","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3137564253","doi":"https://doi.org/10.1109/bigdata50022.2020.9378492","mag":"3137564253"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9378492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","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/A5044250636","display_name":"\u0393\u03b5\u03ce\u03c1\u03b3\u03b9\u03bf\u03c2 \u0394\u03c1\u03b1\u03ba\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf\u03c2","orcid":"https://orcid.org/0000-0002-0975-1877"},"institutions":[{"id":"https://openalex.org/I187792471","display_name":"Ionian University","ror":"https://ror.org/01xm4n520","country_code":"GR","type":"education","lineage":["https://openalex.org/I187792471"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Georgios Drakopoulos","raw_affiliation_strings":["Dept. of Informatics, Ionian University"],"affiliations":[{"raw_affiliation_string":"Dept. of Informatics, Ionian University","institution_ids":["https://openalex.org/I187792471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049248612","display_name":"\u0399\u03c9\u03ac\u03bd\u03bd\u03b1 \u0393\u03b9\u03b1\u03bd\u03bd\u03bf\u03cd\u03ba\u03bf\u03c5","orcid":"https://orcid.org/0000-0003-2112-6430"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioanna Giannoukou","raw_affiliation_strings":["School of Mgt. Science and Tech., University of Patras"],"affiliations":[{"raw_affiliation_string":"School of Mgt. Science and Tech., University of Patras","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061448936","display_name":"Phivos Mylonas","orcid":"https://orcid.org/0000-0002-6916-3129"},"institutions":[{"id":"https://openalex.org/I187792471","display_name":"Ionian University","ror":"https://ror.org/01xm4n520","country_code":"GR","type":"education","lineage":["https://openalex.org/I187792471"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Phivos Mylonas","raw_affiliation_strings":["Dept. of Informatics, Ionian University"],"affiliations":[{"raw_affiliation_string":"Dept. of Informatics, Ionian University","institution_ids":["https://openalex.org/I187792471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065914489","display_name":"Spyros Sioutas","orcid":"https://orcid.org/0000-0003-1825-5565"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Spyros Sioutas","raw_affiliation_strings":["University of Patras CEID"],"affiliations":[{"raw_affiliation_string":"University of Patras CEID","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044250636"],"corresponding_institution_ids":["https://openalex.org/I187792471"],"apc_list":null,"apc_paid":null,"fwci":1.0605,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.82807379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3618","last_page":"3627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994000196456909,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994000196456909,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9990000128746033,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.991599977016449,"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":0.7077164649963379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48239031434059143},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45703235268592834},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4484345316886902},{"id":"https://openalex.org/keywords/news-aggregator","display_name":"News aggregator","score":0.42381733655929565},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4219732880592346},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.41332268714904785},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4109462797641754},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.26153701543807983},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1251915991306305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7077164649963379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48239031434059143},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45703235268592834},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4484345316886902},{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.42381733655929565},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4219732880592346},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.41332268714904785},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4109462797641754},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.26153701543807983},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1251915991306305}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9378492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1553232534","https://openalex.org/W1620079028","https://openalex.org/W1950788856","https://openalex.org/W1966990998","https://openalex.org/W1994687138","https://openalex.org/W1999965501","https://openalex.org/W2070207525","https://openalex.org/W2089631096","https://openalex.org/W2103040786","https://openalex.org/W2104766360","https://openalex.org/W2108597378","https://openalex.org/W2135187880","https://openalex.org/W2142569723","https://openalex.org/W2144354855","https://openalex.org/W2146004938","https://openalex.org/W2171928131","https://openalex.org/W2182103181","https://openalex.org/W2236011370","https://openalex.org/W2250966211","https://openalex.org/W2293506269","https://openalex.org/W2339007906","https://openalex.org/W2397798297","https://openalex.org/W2564533995","https://openalex.org/W2566625606","https://openalex.org/W2603417611","https://openalex.org/W2610153490","https://openalex.org/W2728149611","https://openalex.org/W2738069262","https://openalex.org/W2837422613","https://openalex.org/W2890405906","https://openalex.org/W2894842749","https://openalex.org/W2905224888","https://openalex.org/W2906196783","https://openalex.org/W2907492528","https://openalex.org/W2909327627","https://openalex.org/W2909882940","https://openalex.org/W2910147448","https://openalex.org/W2914721378","https://openalex.org/W2923813945","https://openalex.org/W2925080392","https://openalex.org/W2943605315","https://openalex.org/W2961553857","https://openalex.org/W2962810718","https://openalex.org/W2963043672","https://openalex.org/W2963471742","https://openalex.org/W2968073071","https://openalex.org/W2971881481","https://openalex.org/W3011787945","https://openalex.org/W3016441316","https://openalex.org/W3021411204","https://openalex.org/W3035096461","https://openalex.org/W3036446966","https://openalex.org/W3086027411","https://openalex.org/W3087460050","https://openalex.org/W3094093629","https://openalex.org/W3099152386","https://openalex.org/W3101913377","https://openalex.org/W3103841689","https://openalex.org/W3116242048","https://openalex.org/W4210257598","https://openalex.org/W4251591997","https://openalex.org/W6640754710","https://openalex.org/W6689774210","https://openalex.org/W6737558694","https://openalex.org/W6757374366","https://openalex.org/W6758623387","https://openalex.org/W6783463759","https://openalex.org/W6788356283"],"related_works":["https://openalex.org/W3036238356","https://openalex.org/W2767445978","https://openalex.org/W2603387358","https://openalex.org/W2570892890","https://openalex.org/W3092831610","https://openalex.org/W2012785328","https://openalex.org/W4206057490","https://openalex.org/W962287279","https://openalex.org/W3112734853","https://openalex.org/W2759391675"],"abstract_inverted_index":{"Graph":[0],"neural":[1],"networks":[2],"(GNNs)":[3],"is":[4,59],"an":[5,20],"emerging":[6],"class":[7],"of":[8,15,36,67,109],"iterative":[9],"connectionist":[10],"models":[11],"taking":[12],"full":[13],"advantage":[14],"the":[16,65,94,115,133,139,146],"interaction":[17],"patterns":[18],"in":[19,93],"underlying":[21],"domain.":[22],"Depending":[23],"on":[24,73,145],"their":[25],"configuration":[26],"GNNs":[27,46],"aggregate":[28],"local":[29,74],"state":[30,77],"information":[31],"to":[32,64,121],"obtain":[33],"robust":[34],"estimates":[35],"global":[37],"properties.":[38],"Since":[39],"graphs":[40,124],"inherently":[41],"represent":[42],"high":[43],"dimensional":[44],"data,":[45],"can":[47],"effectively":[48],"perform":[49],"dimensionality":[50],"reduction":[51],"for":[52,149],"certain":[53],"aggregator":[54],"selections.":[55],"One":[56],"such":[57,101],"task":[58],"assigning":[60],"sentiment":[61],"polarity":[62],"labels":[63,102],"vertices":[66],"a":[68,106,112],"large":[69],"social":[70,96],"network":[71,97],"based":[72],"ground":[75],"truth":[76],"vectors":[78],"containing":[79],"structural,":[80],"functional,":[81],"and":[82,99,138,151],"affective":[83],"attributes.":[84],"Emotions":[85],"have":[86],"been":[87,119],"long":[88],"identified":[89],"as":[90],"key":[91],"factors":[92],"overall":[95],"resiliency":[98],"determining":[100],"robustly":[103],"would":[104],"be":[105],"major":[107],"indicator":[108],"it.":[110],"As":[111],"concrete":[113],"example,":[114],"proposed":[116],"methodology":[117],"has":[118],"applied":[120],"two":[122],"benchmark":[123],"obtained":[125],"from":[126],"political":[127],"Twitter":[128],"with":[129],"topic":[130],"sampling":[131],"regarding":[132],"Greek":[134],"1821":[135],"Independence":[136],"Revolution":[137],"US":[140],"2020":[141],"Presidential":[142],"Elections.":[143],"Based":[144],"results":[147],"recommendations":[148],"researchers":[150],"practitioners":[152],"are":[153],"offered.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}