{"id":"https://openalex.org/W4220791802","doi":"https://doi.org/10.1109/icsc52841.2022.00016","title":"Automated Hashtag Hierarchy Generation Using Community Detection and the Shannon Diversity Index","display_name":"Automated Hashtag Hierarchy Generation Using Community Detection and the Shannon Diversity Index","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4220791802","doi":"https://doi.org/10.1109/icsc52841.2022.00016"},"language":"en","primary_location":{"id":"doi:10.1109/icsc52841.2022.00016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsc52841.2022.00016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 16th International Conference on Semantic Computing (ICSC)","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/A5030836041","display_name":"Spencer Torene","orcid":null},"institutions":[{"id":"https://openalex.org/I68384125","display_name":"Thomson Reuters (United States)","ror":"https://ror.org/00m7gt169","country_code":"US","type":"company","lineage":["https://openalex.org/I68384125"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Spencer Torene","raw_affiliation_strings":["Thomson Reuters Special Services, LLC,McLean,VA,USA","Thomson Reuters Special Services, LLC, McLean, VA, USA"],"affiliations":[{"raw_affiliation_string":"Thomson Reuters Special Services, LLC,McLean,VA,USA","institution_ids":["https://openalex.org/I68384125"]},{"raw_affiliation_string":"Thomson Reuters Special Services, LLC, McLean, VA, USA","institution_ids":["https://openalex.org/I68384125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086984307","display_name":"Blake Stephen Howald","orcid":"https://orcid.org/0009-0001-3482-6957"},"institutions":[{"id":"https://openalex.org/I68384125","display_name":"Thomson Reuters (United States)","ror":"https://ror.org/00m7gt169","country_code":"US","type":"company","lineage":["https://openalex.org/I68384125"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Blake Howald","raw_affiliation_strings":["Thomson Reuters Special Services, LLC,McLean,VA,USA","Thomson Reuters Special Services, LLC, McLean, VA, USA"],"affiliations":[{"raw_affiliation_string":"Thomson Reuters Special Services, LLC,McLean,VA,USA","institution_ids":["https://openalex.org/I68384125"]},{"raw_affiliation_string":"Thomson Reuters Special Services, LLC, McLean, VA, USA","institution_ids":["https://openalex.org/I68384125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030836041"],"corresponding_institution_ids":["https://openalex.org/I68384125"],"apc_list":null,"apc_paid":null,"fwci":0.4868,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59184327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9976999759674072,"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":0.9976999759674072,"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":0.9879999756813049,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9713000059127808,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8541145324707031},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.8023104667663574},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5727346539497375},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5724083781242371},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5336682796478271},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.4886670410633087},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4548431634902954},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.44541433453559875},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.43792396783828735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3640921115875244},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.33500275015830994},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32794272899627686},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17793473601341248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8541145324707031},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.8023104667663574},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5727346539497375},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5724083781242371},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5336682796478271},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.4886670410633087},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4548431634902954},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.44541433453559875},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.43792396783828735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3640921115875244},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.33500275015830994},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32794272899627686},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17793473601341248},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsc52841.2022.00016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsc52841.2022.00016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 16th International Conference on Semantic Computing (ICSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2326857978","https://openalex.org/W1597238586","https://openalex.org/W2150499647","https://openalex.org/W2146184373","https://openalex.org/W2253863248","https://openalex.org/W2179503532","https://openalex.org/W2153799433","https://openalex.org/W2168378313","https://openalex.org/W2508527832"],"abstract_inverted_index":{"Developing":[0],"semantic":[1,38,100],"hierarchies":[2,23,166],"from":[3,83],"user-created":[4],"hashtags":[5,45,74,134],"in":[6,36,46,78,128],"social":[7,47,70],"media":[8],"can":[9,62,168],"provide":[10],"useful":[11],"organizational":[12],"structure":[13],"to":[14,33,65,91,145,154,162,174],"large":[15],"volumes":[16],"of":[17,21,42,69,99,124,130,133,143,151,177],"data.":[18],"However,":[19],"construction":[20,51,102],"these":[22,60],"is":[24],"difficult":[25],"using":[26],"established":[27],"ontologies":[28],"(e.g.":[29],"WordNet":[30],"[1])":[31],"due":[32],"the":[34,37,66,84,121],"differences":[35],"and":[39,96,109,148,172],"pragmatic":[40],"use":[41,178],"words":[43],"vs.":[44],"media.":[48],"While":[49],"alternative":[50],"methods":[52,61],"based":[53],"on":[54],"hashtag":[55],"frequency":[56],"are":[57],"relatively":[58],"straightforward,":[59],"be":[63,169],"susceptible":[64],"dynamic":[67],"nature":[68],"media,":[71],"such":[72],"as":[73],"associated":[75],"with":[76],"surges":[77],"popularity.":[79],"We":[80],"drew":[81],"inspiration":[82],"ecologically-based":[85],"Shannon":[86],"Diversity":[87],"Index":[88],"(SDI)":[89],"[2]":[90],"create":[92,163],"a":[93,110,137,149,175],"more":[94],"representative":[95],"resilient":[97],"method":[98],"hierarchy":[101],"that":[103,167],"relies":[104],"upon":[105],"graph-based":[106],"community":[107],"detection":[108],"novel,":[111],"entropy-based":[112],"ensemble":[113],"diversity":[114,123],"index":[115],"(EDI)":[116],"score.":[117],"The":[118],"EDI":[119,144],"quantifies":[120],"contextual":[122],"each":[125],"hashtag,":[126],"resulting":[127],"thousands":[129],"semantically-related":[131],"groups":[132],"organized":[135],"along":[136],"general-to-specific":[138],"spectrum.":[139],"Through":[140],"an":[141],"application":[142],"Twitter":[146],"data":[147],"comparison":[150],"our":[152,159],"results":[153],"prior":[155],"approaches,":[156],"we":[157],"demonstrate":[158],"method's":[160],"ability":[161],"semantically":[164],"consistent":[165],"flexibly":[170],"applied":[171],"adapted":[173],"range":[176],"cases.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}