{"id":"https://openalex.org/W2584519571","doi":"https://doi.org/10.1109/bigdata.2016.7840760","title":"Storytelling in heterogeneous Twitter entity network based on hierarchical cluster routing","display_name":"Storytelling in heterogeneous Twitter entity network based on hierarchical cluster routing","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2584519571","doi":"https://doi.org/10.1109/bigdata.2016.7840760","mag":"2584519571"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2016.7840760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5101905948","display_name":"Xuchao Zhang","orcid":"https://orcid.org/0000-0001-5344-456X"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xuchao Zhang","raw_affiliation_strings":["Virginia Tech., Falls Church, VA, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech., Falls Church, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082832007","display_name":"Zhiqian Chen","orcid":"https://orcid.org/0000-0003-4112-9647"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiqian Chen","raw_affiliation_strings":["Virginia Tech., Falls Church, VA, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech., Falls Church, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078983343","display_name":"Weisheng Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weisheng Zhong","raw_affiliation_strings":["Virginia Tech., Falls Church, VA, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech., Falls Church, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033884416","display_name":"Arnold P. Boedihardjo","orcid":null},"institutions":[{"id":"https://openalex.org/I1306490931","display_name":"United States Army Corps of Engineers","ror":"https://ror.org/05w4e8v21","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1306490931","https://openalex.org/I1330347796"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arnold P. Boedihardjo","raw_affiliation_strings":["U.S. Army Corps of Engineers, Alexandria, VA, USA"],"affiliations":[{"raw_affiliation_string":"U.S. Army Corps of Engineers, Alexandria, VA, USA","institution_ids":["https://openalex.org/I1306490931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038002204","display_name":"Chang\u2010Tien Lu","orcid":"https://orcid.org/0000-0003-3675-0199"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chang-Tien Lu","raw_affiliation_strings":["Virginia Tech., Falls Church, VA, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech., Falls Church, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101905948"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.677,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73723136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1522","last_page":"1531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8606973886489868},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6457089781761169},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6064329147338867},{"id":"https://openalex.org/keywords/storytelling","display_name":"Storytelling","score":0.5941389799118042},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4993143081665039},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45378726720809937},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4476442337036133},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4230573773384094},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38883376121520996},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34985002875328064},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.31220635771751404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2618272006511688},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.14998149871826172},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11536788940429688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8606973886489868},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6457089781761169},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6064329147338867},{"id":"https://openalex.org/C2776538412","wikidata":"https://www.wikidata.org/wiki/Q989963","display_name":"Storytelling","level":3,"score":0.5941389799118042},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4993143081665039},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45378726720809937},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4476442337036133},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4230573773384094},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38883376121520996},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34985002875328064},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.31220635771751404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2618272006511688},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.14998149871826172},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11536788940429688},{"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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2016.7840760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W192460397","https://openalex.org/W797920393","https://openalex.org/W1521470945","https://openalex.org/W1553560206","https://openalex.org/W1884372994","https://openalex.org/W1901464671","https://openalex.org/W1968532429","https://openalex.org/W1974548930","https://openalex.org/W1981760490","https://openalex.org/W1996894838","https://openalex.org/W2028544407","https://openalex.org/W2047205327","https://openalex.org/W2057313398","https://openalex.org/W2062779075","https://openalex.org/W2078708516","https://openalex.org/W2082545449","https://openalex.org/W2083778364","https://openalex.org/W2096765155","https://openalex.org/W2114797768","https://openalex.org/W2129657639","https://openalex.org/W2134126205","https://openalex.org/W2153568660","https://openalex.org/W2155500672","https://openalex.org/W2160005926","https://openalex.org/W2166322082","https://openalex.org/W2167686542","https://openalex.org/W2183382566","https://openalex.org/W2291961607","https://openalex.org/W2525761691","https://openalex.org/W2535726973","https://openalex.org/W6607831668","https://openalex.org/W6639557182","https://openalex.org/W6684175902","https://openalex.org/W6686081457","https://openalex.org/W7062426373"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2884441370","https://openalex.org/W1536421369","https://openalex.org/W2086118318","https://openalex.org/W2082193010","https://openalex.org/W4319988281","https://openalex.org/W2993120730","https://openalex.org/W2122605835","https://openalex.org/W2120116197","https://openalex.org/W159653547"],"abstract_inverted_index":{"Connecting":[0],"the":[1,34,78,124,132,143],"dots":[2,79],"between":[3],"diverse":[4],"entities":[5,37,96],"such":[6,45],"as":[7],"people":[8],"and":[9,18,24,42,63,112,116],"organizations":[10],"is":[11,104,127],"a":[12,81,88,117],"vital":[13],"task":[14],"for":[15,50],"forming":[16],"hypotheses":[17],"uncovering":[19],"latent":[20],"relationships":[21],"among":[22],"complex":[23],"large":[25],"datasets.":[26,99,135],"Most":[27],"existing":[28],"approaches":[29,46],"are":[30,47],"designed":[31,105],"to":[32,55,76,129,141],"address":[33],"relationship":[35],"of":[36,69,84,145],"in":[38,97],"news":[39],"reports,":[40],"documents":[41],"abstracts,":[43],"but":[44],"not":[48],"suitable":[49],"Twitter":[51,70,98,134],"data":[52,71],"streams":[53],"due":[54],"their":[56],"unstructured":[57],"languages,":[58],"short-length":[59],"messages,":[60],"heterogeneous":[61],"features":[62,111],"massive":[64,133],"size.":[65],"The":[66],"sheer":[67],"size":[68],"requires":[72],"more":[73],"efficient":[74],"algorithms":[75],"connect":[77],"within":[80],"short":[82],"period":[83],"time.":[85],"We":[86],"present":[87],"system":[89],"that":[90,106],"automatically":[91],"constructs":[92],"stories":[93],"by":[94],"connecting":[95],"An":[100],"entity":[101],"similarity":[102,125],"model":[103,126],"combines":[107],"both":[108],"traditional":[109],"entity-related":[110],"social":[113],"network":[114],"attributes":[115],"novel":[118],"story":[119],"generation":[120],"algorithm":[121],"applied":[122],"on":[123],"proposed":[128],"cope":[130],"with":[131],"Extensive":[136],"experimental":[137],"evaluations":[138],"were":[139],"conducted":[140],"demonstrate":[142],"effectiveness":[144],"this":[146],"new":[147],"approach.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
