{"id":"https://openalex.org/W3023960840","doi":"https://doi.org/10.1145/3366423.3380259","title":"NetTaxo: Automated Topic Taxonomy Construction from Text-Rich Network","display_name":"NetTaxo: Automated Topic Taxonomy Construction from Text-Rich Network","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3023960840","doi":"https://doi.org/10.1145/3366423.3380259","mag":"3023960840"},"language":"en","primary_location":{"id":"doi:10.1145/3366423.3380259","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380259","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3366423.3380259","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3366423.3380259","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039500313","display_name":"Jingbo Shang","orcid":"https://orcid.org/0000-0002-7249-4404"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jingbo Shang","raw_affiliation_strings":["University of California San Diego"],"affiliations":[{"raw_affiliation_string":"University of California San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022999126","display_name":"Xinyang Zhang","orcid":"https://orcid.org/0000-0001-6474-682X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinyang Zhang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657035","display_name":"Liyuan Liu","orcid":"https://orcid.org/0000-0003-2585-323X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liyuan Liu","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402701","display_name":"Sha Li","orcid":"https://orcid.org/0000-0002-4869-3809"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sha Li","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019539533","display_name":"Jiawei Han","orcid":"https://orcid.org/0000-0002-3629-2696"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Han","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039500313"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":5.4376,"has_fulltext":true,"cited_by_count":55,"citation_normalized_percentile":{"value":0.96472276,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1908","last_page":"1919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"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/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.998199999332428,"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":0.9980999827384949,"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":0.8281568288803101},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.7318629622459412},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5298915505409241},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5180968642234802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44581320881843567},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39343827962875366},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.32045817375183105}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8281568288803101},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.7318629622459412},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5298915505409241},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5180968642234802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44581320881843567},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39343827962875366},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.32045817375183105},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3366423.3380259","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380259","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3366423.3380259","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3366423.3380259","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380259","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3366423.3380259","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1472423617","display_name":null,"funder_award_id":"FA8750-19-2-1004","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G2104517209","display_name":null,"funder_award_id":"IIS-17-41317","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G427511869","display_name":null,"funder_award_id":"IIS 17-04532","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4713059963","display_name":null,"funder_award_id":"FA8750","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G5490100290","display_name":null,"funder_award_id":"HDTRA11810026","funder_id":"https://openalex.org/F4320332186","funder_display_name":"Defense Threat Reduction Agency"},{"id":"https://openalex.org/G6541015203","display_name":null,"funder_award_id":"HDTRA1","funder_id":"https://openalex.org/F4320332186","funder_display_name":"Defense Threat Reduction Agency"},{"id":"https://openalex.org/G7903051118","display_name":null,"funder_award_id":"IIS 16-18481","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8081369098","display_name":null,"funder_award_id":"IIS 16-18481, IIS 17-04532, and IIS-17-41317","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8175839138","display_name":null,"funder_award_id":"No. W911NF-17-C-0099","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8851674072","display_name":null,"funder_award_id":"W911NF-17-C-0099","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320332186","display_name":"Defense Threat Reduction Agency","ror":"https://ror.org/04tz64554"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3023960840.pdf","grobid_xml":"https://content.openalex.org/works/W3023960840.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W89857650","https://openalex.org/W103340358","https://openalex.org/W1483236033","https://openalex.org/W1489800245","https://openalex.org/W1512387364","https://openalex.org/W1888005072","https://openalex.org/W1970972959","https://openalex.org/W2041590596","https://openalex.org/W2051224630","https://openalex.org/W2051330519","https://openalex.org/W2068737686","https://openalex.org/W2071158443","https://openalex.org/W2100132811","https://openalex.org/W2103931177","https://openalex.org/W2122678284","https://openalex.org/W2129629757","https://openalex.org/W2132827946","https://openalex.org/W2144005186","https://openalex.org/W2144211451","https://openalex.org/W2145001205","https://openalex.org/W2149288670","https://openalex.org/W2153579005","https://openalex.org/W2153624566","https://openalex.org/W2168175183","https://openalex.org/W2168565044","https://openalex.org/W2250539671","https://openalex.org/W2251363724","https://openalex.org/W2296641297","https://openalex.org/W2335990354","https://openalex.org/W2465217376","https://openalex.org/W2470861207","https://openalex.org/W2565948902","https://openalex.org/W2572998653","https://openalex.org/W2575484002","https://openalex.org/W2593560537","https://openalex.org/W2595918108","https://openalex.org/W2604643118","https://openalex.org/W2743104969","https://openalex.org/W2792485195","https://openalex.org/W2809189384","https://openalex.org/W2883559670","https://openalex.org/W2906831717","https://openalex.org/W2906971874","https://openalex.org/W2999693458","https://openalex.org/W3105705953"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W2083665254"],"abstract_inverted_index":{"The":[0],"automated":[1],"construction":[2,25,73],"of":[3,18,22,43,50,129,153,166],"topic":[4,71],"taxonomies":[5],"can":[6],"benefit":[7],"numerous":[8],"applications,":[9],"including":[10],"web":[11],"search,":[12],"recommendation,":[13],"and":[14,33,54,81,98,127,159,164],"knowledge":[15],"discovery.":[16],"One":[17],"the":[19,27,41,48,56,78,125,151,157,162],"major":[20],"advantages":[21],"automatic":[23,70],"taxonomy":[24,72,131,142],"is":[26,134],"ability":[28],"to":[29,35,85,106,124,137],"capture":[30,107],"corpus-specific":[31],"information":[32],"adapt":[34],"different":[36],"scenarios.":[37],"To":[38],"better":[39],"reflect":[40],"characteristics":[42],"a":[44,59,68,141],"corpus,":[45],"we":[46,65,91],"take":[47],"meta-data":[49],"documents":[51],"into":[52],"consideration":[53],"view":[55],"corpus":[57],"as":[58,100],"text-rich":[60],"network.":[61],"In":[62],"this":[63],"paper,":[64],"propose":[66],"NetTaxo,":[67],"novel":[69],"framework,":[74],"which":[75,118],"goes":[76],"beyond":[77],"existing":[79],"paradigm":[80],"allows":[82],"text":[83,97],"data":[84],"collaborate":[86],"with":[87],"network":[88,99,109],"structure.":[89],"Specifically,":[90],"learn":[92],"term":[93,121],"embeddings":[94],"from":[95],"both":[96],"contexts.":[101,110],"Network":[102],"motifs":[103],"are":[104],"adopted":[105],"appropriate":[108],"We":[111],"conduct":[112],"an":[113],"instance-level":[114,167],"selection":[115],"for":[116],"motifs,":[117],"further":[119,160],"refines":[120],"embedding":[122],"according":[123],"granularity":[126],"semantics":[128],"each":[130],"node.":[132,143],"Clustering":[133],"then":[135],"applied":[136],"obtain":[138],"sub-topics":[139],"under":[140],"Extensive":[144],"experiments":[145],"on":[146],"two":[147],"real-world":[148],"datasets":[149],"demonstrate":[150],"superiority":[152],"our":[154],"method":[155],"over":[156],"state-of-the-art,":[158],"verify":[161],"effectiveness":[163],"importance":[165],"motif":[168],"selection.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":5}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
