{"id":"https://openalex.org/W2884103296","doi":"https://doi.org/10.1177/0165551518775304","title":"SGSG: Semantic graph-based storyline generation in Twitter","display_name":"SGSG: Semantic graph-based storyline generation in Twitter","publication_year":2018,"publication_date":"2018-07-19","ids":{"openalex":"https://openalex.org/W2884103296","doi":"https://doi.org/10.1177/0165551518775304","mag":"2884103296"},"language":"en","primary_location":{"id":"doi:10.1177/0165551518775304","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551518775304","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-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/A5004834357","display_name":"Nazanin Dehghani","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Nazanin Dehghani","raw_affiliation_strings":["Social Networks Laboratory, School of Electrical & Computer Engineering, University of Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Social Networks Laboratory, School of Electrical & Computer Engineering, University of Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021779332","display_name":"Masoud Asadpour","orcid":"https://orcid.org/0000-0003-0299-4523"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Masoud Asadpour","raw_affiliation_strings":["Social Networks Laboratory, School of Electrical & Computer Engineering, University of Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Social Networks Laboratory, School of Electrical & Computer Engineering, University of Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004834357"],"corresponding_institution_ids":["https://openalex.org/I23946033"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.09600202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"45","issue":"3","first_page":"304","last_page":"321"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994000196456909,"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":0.958299994468689,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9531999826431274,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8404791355133057},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6827728748321533},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.663573145866394},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5995359420776367},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.565740704536438},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5282713174819946},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.46813806891441345},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.46080684661865234},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.4276807904243469},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.4193711280822754},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.412492036819458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33528709411621094},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.27246180176734924},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24360254406929016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8404791355133057},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6827728748321533},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.663573145866394},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5995359420776367},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.565740704536438},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5282713174819946},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46813806891441345},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.46080684661865234},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.4276807904243469},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.4193711280822754},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.412492036819458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33528709411621094},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.27246180176734924},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24360254406929016},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0165551518775304","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551518775304","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W186731685","https://openalex.org/W190963633","https://openalex.org/W950821216","https://openalex.org/W1459375545","https://openalex.org/W1489223085","https://openalex.org/W1526545136","https://openalex.org/W1566772816","https://openalex.org/W1854214752","https://openalex.org/W1890727290","https://openalex.org/W1901600440","https://openalex.org/W1971421925","https://openalex.org/W1971937094","https://openalex.org/W1991800036","https://openalex.org/W1995996823","https://openalex.org/W1997164082","https://openalex.org/W2030035054","https://openalex.org/W2069207503","https://openalex.org/W2077840532","https://openalex.org/W2084333023","https://openalex.org/W2085168338","https://openalex.org/W2086416261","https://openalex.org/W2095293504","https://openalex.org/W2102111133","https://openalex.org/W2110693578","https://openalex.org/W2127048411","https://openalex.org/W2133131640","https://openalex.org/W2169043220","https://openalex.org/W2182779895","https://openalex.org/W2185208392","https://openalex.org/W2204046574","https://openalex.org/W2250539671","https://openalex.org/W2401610261","https://openalex.org/W2593109423","https://openalex.org/W2607303097","https://openalex.org/W2766434454","https://openalex.org/W2914181088","https://openalex.org/W2964200605","https://openalex.org/W3101913037","https://openalex.org/W3102641634","https://openalex.org/W4234859835","https://openalex.org/W4236470361","https://openalex.org/W4241850560","https://openalex.org/W4246185962","https://openalex.org/W4248923238","https://openalex.org/W4250331344","https://openalex.org/W4255976928","https://openalex.org/W4398575659","https://openalex.org/W4400530533"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W1517524280","https://openalex.org/W2888780092","https://openalex.org/W4300055207","https://openalex.org/W2293263892"],"abstract_inverted_index":{"Twitter":[0,26],"is":[1],"a":[2,9,34,78,95,100,106,126,142,145],"popular":[3],"microblogging":[4],"service":[5],"that":[6,206],"has":[7],"become":[8],"great":[10,35],"medium":[11],"for":[12,98,136],"exploring":[13],"emerging":[14],"events":[15,48,104,151,160],"and":[16,60,82,124,161,196,219],"breaking":[17],"news.":[18],"Unfortunately,":[19],"the":[20,28,44,75,84,119,164,181,197,207,215],"explosive":[21],"rate":[22],"of":[23,37,46,77,102,109,129,148,193,201,209],"information":[24,31,62],"entering":[25],"makes":[27],"users":[29],"experience":[30],"overload.":[32],"Since":[33],"deal":[36],"tweets":[38,66,195],"revolve":[39],"around":[40],"news":[41,103],"events,":[42,121],"summarising":[43],"storyline":[45,73,101,128,143,184],"these":[47],"can":[49,220],"be":[50,221],"advantageous":[51],"to":[52,56,214],"users,":[53],"allowing":[54],"them":[55,123],"conveniently":[57],"access":[58],"relevant":[59],"key":[61],"scattered":[63],"over":[64,153],"numerous":[65],"and,":[67],"consequently,":[68],"draw":[69],"concise":[70],"conclusions.":[71],"A":[72],"shows":[74],"evolution":[76,131],"story":[79],"through":[80],"time":[81,154],"sketches":[83],"correlations":[85],"among":[86],"its":[87],"significant":[88,120],"events.":[89,169],"In":[90],"this":[91],"article,":[92],"we":[93,117],"propose":[94],"novel":[96],"framework":[97],"generating":[99],"from":[105,114],"social":[107],"point":[108],"view.":[110],"Utilising":[111],"powerful":[112],"concepts":[113],"graph":[115],"theory,":[116],"identify":[118],"summarise":[122],"generate":[125],"coherent":[127],"their":[130],"with":[132,223],"reasonable":[133],"computational":[134],"cost":[135],"large":[137],"datasets.":[138],"Our":[139],"approach":[140],"models":[141],"as":[144,178,180],"directed":[146],"tree":[147],"socially":[149],"salient":[150],"evolving":[152],"in":[155],"which":[156],"nodes":[157],"represent":[158],"main":[159],"edges":[162],"capture":[163],"semantic":[165],"relations":[166],"between":[167],"related":[168],"We":[170,204],"evaluate":[171],"our":[172,210],"proposed":[173],"method":[174,211],"against":[175],"human-generated":[176,224],"storylines,":[177],"well":[179],"previous":[182,216],"state-of-the-art":[183],"generation":[185],"algorithm,":[186],"on":[187],"two":[188],"large-scale":[189],"datasets,":[190],"one":[191,199],"consisting":[192,200],"English":[194],"other":[198],"Persian":[202],"tweets.":[203],"find":[205],"results":[208],"are":[212],"superior":[213],"best":[217],"algorithm":[218],"comparable":[222],"storylines.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}
