{"id":"https://openalex.org/W4247528907","doi":"https://doi.org/10.1109/asonam.2014.6921615","title":"#tag: Meme or event?","display_name":"#tag: Meme or event?","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W4247528907","doi":"https://doi.org/10.1109/asonam.2014.6921615"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2014.6921615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2014.6921615","pdf_url":null,"source":{"id":"https://openalex.org/S4363608209","display_name":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","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/A5074654006","display_name":"Dimitrios Kotsakos","orcid":null},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios Kotsakos","raw_affiliation_strings":["University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020260615","display_name":"Panos Sakkos","orcid":null},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Panos Sakkos","raw_affiliation_strings":["University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061323069","display_name":"Ioannis Katakis","orcid":"https://orcid.org/0000-0001-5283-9965"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis Katakis","raw_affiliation_strings":["University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063685438","display_name":"Dimitrios Gunopulos","orcid":"https://orcid.org/0000-0001-6339-1879"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios Gunopulos","raw_affiliation_strings":["University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5129,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71435101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"391","last_page":"394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9987000226974487,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9987000226974487,"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":0.9975000023841858,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.8511918783187866},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8080450296401978},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.705808162689209},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6402695178985596},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.6093741059303284},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5953048467636108},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5560855269432068},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.536274254322052},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4849953353404999},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4600818455219269},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3749750852584839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32967978715896606},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3240998089313507},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11187127232551575},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07085257768630981}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.8511918783187866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8080450296401978},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.705808162689209},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6402695178985596},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.6093741059303284},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5953048467636108},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5560855269432068},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.536274254322052},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4849953353404999},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4600818455219269},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3749750852584839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32967978715896606},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3240998089313507},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11187127232551575},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07085257768630981},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam.2014.6921615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2014.6921615","pdf_url":null,"source":{"id":"https://openalex.org/S4363608209","display_name":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.4300000071525574,"display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W89990147","https://openalex.org/W1966360994","https://openalex.org/W1984226559","https://openalex.org/W1995672491","https://openalex.org/W2032855253","https://openalex.org/W2067634822","https://openalex.org/W2076723282","https://openalex.org/W2112056172","https://openalex.org/W2127492100","https://openalex.org/W2133990480","https://openalex.org/W2164912194","https://openalex.org/W2267835966","https://openalex.org/W2911964244","https://openalex.org/W4244238212","https://openalex.org/W6603693220","https://openalex.org/W6693772185"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W4294565801","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W2030628044"],"abstract_inverted_index":{"Users":[0],"in":[1,40],"social":[2,54,93],"networks":[3],"use":[4],"hashtags":[5,39,70],"for":[6],"various":[7],"reasons,":[8],"some":[9],"of":[10,36,62,69,81,107,111],"them":[11],"being":[12],"serving":[13],"search":[14],"purposes,":[15],"gaining":[16],"attention":[17],"or":[18,20,52],"popularity":[19],"starting":[21],"new":[22],"conversation":[23],"-":[24],"thus,":[25],"creating":[26],"viral":[27],"memes.":[28],"In":[29],"this":[30],"paper":[31],"we":[32,76,95],"address":[33],"the":[34,67,82,108],"problem":[35],"classifying":[37],"these":[38],"different":[41],"categories,":[42],"based":[43],"on":[44,91,99],"whether":[45],"they":[46],"represent":[47],"a":[48,53,60,100],"real":[49],"life":[50],"event":[51],"network":[55],"generated":[56],"meme.":[57],"We":[58,89],"compute":[59],"set":[61],"language-agnostic":[63],"features":[64],"to":[65],"aid":[66],"classification":[68],"into":[71],"events":[72],"and":[73,75,87,103],"memes":[74,86],"provide":[77],"an":[78],"extensive":[79],"study":[80],"behavior":[83],"that":[84],"characterizes":[85],"events.":[88],"focus":[90],"Twitter":[92],"network,":[94],"apply":[96],"our":[97],"methods":[98],"big":[101],"dataset":[102],"reveal":[104],"interesting":[105],"characteristics":[106],"two":[109],"classes":[110],"hashtags.":[112]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
