{"id":"https://openalex.org/W4360765052","doi":"https://doi.org/10.1109/asonam55673.2022.10068690","title":"Characteristics Analysis of Moving Conversations to Detect Events on Twitter","display_name":"Characteristics Analysis of Moving Conversations to Detect Events on Twitter","publication_year":2022,"publication_date":"2022-11-10","ids":{"openalex":"https://openalex.org/W4360765052","doi":"https://doi.org/10.1109/asonam55673.2022.10068690"},"language":"en","primary_location":{"id":"doi:10.1109/asonam55673.2022.10068690","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/asonam55673.2022.10068690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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/A5061393594","display_name":"Hansi Senaratne","orcid":"https://orcid.org/0000-0001-8444-2196"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Hansi Senaratne","raw_affiliation_strings":["Earth Observation Center, German Aerospace Center,Oberpfaffenhofen,Germany","Earth Observation Center, German Aerospace Center, Oberpfaffenhofen, Germany"],"affiliations":[{"raw_affiliation_string":"Earth Observation Center, German Aerospace Center,Oberpfaffenhofen,Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":"Earth Observation Center, German Aerospace Center, Oberpfaffenhofen, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020864078","display_name":"Dominic Lehle","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dominic Lehle","raw_affiliation_strings":["Advanced Research & Technologies Avira,Tettnang,Germany"],"affiliations":[{"raw_affiliation_string":"Advanced Research & Technologies Avira,Tettnang,Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016219620","display_name":"Tobias Schreck","orcid":"https://orcid.org/0000-0003-0778-8665"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Tobias Schreck","raw_affiliation_strings":["Inst. of Computer Graphics & Knowledge Visualization, Graz University of Technology,Graz,Austria"],"affiliations":[{"raw_affiliation_string":"Inst. of Computer Graphics & Knowledge Visualization, Graz University of Technology,Graz,Austria","institution_ids":["https://openalex.org/I4092182"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061393594"],"corresponding_institution_ids":["https://openalex.org/I2898391981"],"apc_list":null,"apc_paid":null,"fwci":0.1047,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42495153,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"96","issue":null,"first_page":"476","last_page":"483"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9966999888420105,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9901999831199646,"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/conversation","display_name":"Conversation","score":0.830978274345398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7232018113136292},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6594796776771545},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.6422780156135559},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5456625819206238},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.5269753932952881},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.502905547618866},{"id":"https://openalex.org/keywords/credibility","display_name":"Credibility","score":0.5026547908782959},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.42623811960220337},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39438682794570923},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11873668432235718},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11425438523292542}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.830978274345398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7232018113136292},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6594796776771545},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.6422780156135559},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5456625819206238},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.5269753932952881},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.502905547618866},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.5026547908782959},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.42623811960220337},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39438682794570923},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11873668432235718},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11425438523292542},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/asonam55673.2022.10068690","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/asonam55673.2022.10068690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"},{"id":"pmh:oai:elib.dlr.de:191318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ASONAM55673.2022.10068690>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W46636081","https://openalex.org/W119760244","https://openalex.org/W578585133","https://openalex.org/W1654587182","https://openalex.org/W1673310716","https://openalex.org/W1737853022","https://openalex.org/W1757467834","https://openalex.org/W1990776069","https://openalex.org/W1992399362","https://openalex.org/W2003539563","https://openalex.org/W2022664803","https://openalex.org/W2027415504","https://openalex.org/W2036352360","https://openalex.org/W2079512061","https://openalex.org/W2084591134","https://openalex.org/W2087189381","https://openalex.org/W2109708033","https://openalex.org/W2111966955","https://openalex.org/W2136635470","https://openalex.org/W2142493242","https://openalex.org/W2161485904","https://openalex.org/W2166069449","https://openalex.org/W2167024389","https://openalex.org/W2280025456","https://openalex.org/W2308155768","https://openalex.org/W2321707316","https://openalex.org/W2347047954","https://openalex.org/W2621015586","https://openalex.org/W2740924709","https://openalex.org/W2750215953","https://openalex.org/W2958416812","https://openalex.org/W3174302095","https://openalex.org/W4255086533","https://openalex.org/W6604851167","https://openalex.org/W6636923708","https://openalex.org/W6637131181","https://openalex.org/W6698404924","https://openalex.org/W6739058166","https://openalex.org/W6748356627","https://openalex.org/W7034806346","https://openalex.org/W7064088494"],"related_works":["https://openalex.org/W2388687352","https://openalex.org/W1968552888","https://openalex.org/W2370187191","https://openalex.org/W2374116601","https://openalex.org/W3093134843","https://openalex.org/W2369854048","https://openalex.org/W2374291020","https://openalex.org/W2355907197","https://openalex.org/W2378167147","https://openalex.org/W2363927067"],"abstract_inverted_index":{"A":[0],"conversation":[1,89,104,127,142],"is":[2,146,229],"an":[3,77],"exchange":[4],"of":[5,53,102,110,154,156,169,188,221,226,246],"thoughts,":[6],"news,":[7],"or":[8,16,47,114],"ideas":[9],"about":[10],"a":[11,31,131,199,232,247],"particular":[12,32],"topic":[13,112],"between":[14],"two":[15],"more":[17],"people.":[18],"On":[19],"Twit-ter,":[20],"hashtags":[21],"allow":[22],"its":[23],"users":[24],"to":[25,30,85,116,130,134,150,179,205,234,242],"collate":[26],"all":[27],"conversations":[28,40,54,157],"pertaining":[29],"topic.":[33],"The":[34,224],"progressions":[35],"that":[36,67,202],"occur":[37],"in":[38,198],"such":[39,88],"through":[41],"the":[42,45,48,97,103,125,137,148,152,164,185,189,217,222,244],"geographic":[43,159],"space,":[44],"time,":[46],"thematic":[49],"contexts,":[50],"create":[51],"trajectories":[52,90,105,128],"on":[55,80,182,254],"Twitter,":[56],"and":[57,83,100,120,123,161,167,214],"they":[58],"can":[59],"give":[60],"us":[61,204],"valuable":[62],"insights":[63],"into":[64],"interesting":[65,141],"events":[66,181],"take":[68],"place":[69],"around":[70],"us.":[71],"In":[72],"this":[73],"paper":[74],"we":[75,239],"develop":[76],"approach":[78,145,190,228],"based":[79],"data":[81,209],"analysis":[82,168,178],"visualisation,":[84],"(1)":[86],"construct":[87],"for":[91,140,163,249],"chosen":[92],"popular":[93],"hashtags,":[94],"(2)":[95],"analyse":[96],"various":[98],"geospatial-":[99],"content-characteristics":[101],"(e.g.,":[106],"distance":[107],"variance,":[108],"speed":[109],"propagation,":[111],"diversity,":[113],"credibility)":[115],"determine":[117],"co-located":[118],"events,":[119,170,237],"(3)":[121],"rank":[122,193],"sort":[124],"resulting":[126],"according":[129],"user-defined":[132],"interestingess-measure,":[133],"narrow":[135],"down":[136],"search":[138],"space":[139,160],"trajectories.":[143],"Our":[144],"among":[147],"first":[149],"introduce":[151],"us-age":[153],"movement":[155],"across":[158],"time":[162],"exploratory":[165,219],"detection":[166],"whereas":[171],"most":[172],"existing":[173],"works":[174],"use":[175],"keyword-based":[176],"text":[177,208],"detect":[180,235],"Twitter.":[183,255],"All":[184],"three":[186],"stages":[187],"(construct,":[191],"analyse,":[192],"&":[194],"sort)":[195],"are":[196],"presented":[197],"visual-interactive":[200],"interface":[201],"allows":[203],"explore":[206],"Twitter":[207],"without":[210],"extensive":[211],"prior":[212],"knowledge,":[213],"benefit":[215],"from":[216],"pure":[218],"capabilities":[220],"tool.":[223],"usefulness":[225],"our":[227],"demonstrated":[230],"as":[231],"proof-of-concept":[233],"sports-related":[236],"where":[238],"were":[240],"able":[241],"identify":[243],"outcome":[245],"contest":[248],"Major":[250],"League":[251],"Baseball":[252],"sportsmen":[253]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}