{"id":"https://openalex.org/W4416447565","doi":"https://doi.org/10.1142/s0219525925400090","title":"TOPOLOGY OF DYNAMIC NETWORKS OF KNOWLEDGE OF MICROLEARNING CONTENT: TOPIC MODELING APPROACHES","display_name":"TOPOLOGY OF DYNAMIC NETWORKS OF KNOWLEDGE OF MICROLEARNING CONTENT: TOPIC MODELING APPROACHES","publication_year":2025,"publication_date":"2025-11-21","ids":{"openalex":"https://openalex.org/W4416447565","doi":"https://doi.org/10.1142/s0219525925400090"},"language":"en","primary_location":{"id":"doi:10.1142/s0219525925400090","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219525925400090","pdf_url":null,"source":{"id":"https://openalex.org/S107361000","display_name":"Advances in Complex Systems","issn_l":"0219-5259","issn":["0219-5259","1793-6802","1793-9615","1793-9623"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Complex Systems","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/A5077251916","display_name":"P Singh","orcid":"https://orcid.org/0009-0004-9883-0666"},"institutions":[{"id":"https://openalex.org/I35364215","display_name":"Naval Postgraduate School","ror":"https://ror.org/033yfkj90","country_code":"US","type":"education","lineage":["https://openalex.org/I1330347796","https://openalex.org/I3130687028","https://openalex.org/I35364215"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"PAOLO J. SINGH","raw_affiliation_strings":["Department of Applied Mathematics, Naval Postgraduate School, 1 University Circle, Monterey, California 93943, USA"],"raw_orcid":"https://orcid.org/0009-0004-9883-0666","affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Naval Postgraduate School, 1 University Circle, Monterey, California 93943, USA","institution_ids":["https://openalex.org/I35364215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031558727","display_name":"Ralucca Gera","orcid":"https://orcid.org/0000-0002-1956-2084"},"institutions":[{"id":"https://openalex.org/I35364215","display_name":"Naval Postgraduate School","ror":"https://ror.org/033yfkj90","country_code":"US","type":"education","lineage":["https://openalex.org/I1330347796","https://openalex.org/I3130687028","https://openalex.org/I35364215"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"RALUCCA GERA","raw_affiliation_strings":["Department of Applied Mathematics, Naval Postgraduate School, 1 University Circle, Monterey, California 93943, USA"],"raw_orcid":"https://orcid.org/0000-0002-1956-2084","affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Naval Postgraduate School, 1 University Circle, Monterey, California 93943, USA","institution_ids":["https://openalex.org/I35364215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89617748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"28","issue":"08","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.39250001311302185,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.39250001311302185,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.05909999832510948,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.03779999911785126,"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/statistic","display_name":"Statistic","score":0.5209000110626221},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4832000136375427},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4828999936580658},{"id":"https://openalex.org/keywords/keyword-extraction","display_name":"Keyword extraction","score":0.4724000096321106},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.38339999318122864},{"id":"https://openalex.org/keywords/network-science","display_name":"Network science","score":0.37880000472068787},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.37720000743865967},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.3409999907016754}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8429999947547913},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5209000110626221},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4832000136375427},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4828999936580658},{"id":"https://openalex.org/C2780288562","wikidata":"https://www.wikidata.org/wiki/Q25053353","display_name":"Keyword extraction","level":2,"score":0.4724000096321106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46000000834465027},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.38339999318122864},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.37880000472068787},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.37720000743865967},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37220001220703125},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3580999970436096},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34619998931884766},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.3409999907016754},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.33480000495910645},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3167000114917755},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3163999915122986},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C110994511","wikidata":"https://www.wikidata.org/wiki/Q661020","display_name":"Next-generation network","level":3,"score":0.2808000147342682},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.257999986410141},{"id":"https://openalex.org/C2987015589","wikidata":"https://www.wikidata.org/wiki/Q1040098","display_name":"Learning network","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219525925400090","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219525925400090","pdf_url":null,"source":{"id":"https://openalex.org/S107361000","display_name":"Advances in Complex Systems","issn_l":"0219-5259","issn":["0219-5259","1793-6802","1793-9615","1793-9623"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Complex Systems","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":17,"referenced_works":["https://openalex.org/W2004599511","https://openalex.org/W2133286915","https://openalex.org/W2973226110","https://openalex.org/W3031927489","https://openalex.org/W3137120008","https://openalex.org/W3159085860","https://openalex.org/W3195947713","https://openalex.org/W4210973361","https://openalex.org/W4250772482","https://openalex.org/W4361792334","https://openalex.org/W4388105019","https://openalex.org/W4389890974","https://openalex.org/W4390954073","https://openalex.org/W4401722919","https://openalex.org/W4403534126","https://openalex.org/W4404916419","https://openalex.org/W4406230272"],"related_works":[],"abstract_inverted_index":{"One":[0],"of":[1,16,31,73,96,119,129,158,165,169],"the":[2,12,47,62,116,120,127],"issues":[3],"faced":[4],"when":[5],"generating":[6],"personalized":[7],"learning":[8,75,170,189,195,201],"paths":[9],"(PLPs)":[10],"is":[11],"organization":[13],"and":[14,71,105,122,143,167,194,202],"tagging":[15],"microlearning":[17],"content.":[18],"We":[19,92],"expand":[20],"upon":[21],"network":[22,84,182],"science":[23,204],"approaches":[24],"from":[25,86,102,110,141,200],"previous":[26,111],"work":[27],"in":[28,59,148,154],"Dynamic":[29],"Network":[30],"Knowledge":[32],"(DNoK)":[33],"design":[34,139],"by":[35],"incorporating":[36],"topic":[37,103],"modeling":[38,104],"methods":[39,55,109,190],"to":[40,56,125,197],"automate":[41],"keyword":[42,53,108,145],"extraction.":[43],"Specifically,":[44],"we":[45,78,114,178],"compare":[46],"BERT":[48],"language":[49],"model":[50],"with":[51],"fast":[52],"extraction":[54],"assign":[57],"keywords":[58],"common":[60],"using":[61],"original":[63],"DNoK":[64,88,121,138],"framework.":[65],"For":[66],"instructors,":[67],"institutions\u2019":[68],"content":[69,166],"curators,":[70],"designers":[72],"topic-specific":[74],"management":[76],"systems,":[77],"formally":[79],"define":[80],"a":[81,181],"minimum":[82],"viable":[83],"statistic":[85],"which":[87],"growth":[89,98,117],"should":[90],"occur.":[91],"continue":[93],"our":[94],"comparison":[95],"topological":[97],"between":[99],"networks":[100,135,147],"produced":[101],"manually":[106],"curated":[107],"work.":[112],"Finally,":[113],"examine":[115],"behavior":[118],"propose":[123,179],"bounds":[124],"support":[126],"generation":[128],"synthetic":[130],"models":[131],"for":[132],"exploring":[133],"such":[134],"at":[136],"scale.":[137],"differs":[140],"bibliometric":[142],"other":[144],"co-occurrence":[146],"that":[149,180,191],"those":[150],"co-occurrences":[151],"are":[152],"embedded":[153],"edge":[155],"weights":[156],"instead":[157],"node":[159],"degree.":[160],"This":[161],"framework":[162],"enables":[163],"discovery":[164],"grouping":[168],"concepts":[171],"through":[172],"traditional":[173],"community":[174],"detection":[175],"methods.":[176],"Ultimately,":[177],"science-based":[183],"approach":[184],"will":[185],"facilitate":[186],"personalized,":[187],"adaptive":[188],"enable":[192],"instructors":[193],"engineers":[196],"integrate":[198],"best-practices":[199],"cognitive":[203],"within":[205],"this":[206],"space.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-23T00:00:00"}
