{"id":"https://openalex.org/W2996187763","doi":"https://doi.org/10.1108/jd-06-2019-0117","title":"Determining the critical thresholds for co-word network based on the theory of percolation transition","display_name":"Determining the critical thresholds for co-word network based on the theory of percolation transition","publication_year":2019,"publication_date":"2019-12-11","ids":{"openalex":"https://openalex.org/W2996187763","doi":"https://doi.org/10.1108/jd-06-2019-0117","mag":"2996187763"},"language":"en","primary_location":{"id":"doi:10.1108/jd-06-2019-0117","is_oa":false,"landing_page_url":"https://doi.org/10.1108/jd-06-2019-0117","pdf_url":null,"source":{"id":"https://openalex.org/S10082577","display_name":"Journal of Documentation","issn_l":"0022-0418","issn":["0022-0418","1758-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Documentation","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/A5054788206","display_name":"Muh\u2010Chyun Tang","orcid":"https://orcid.org/0000-0001-7321-6927"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Muh-Chyun Tang","raw_affiliation_strings":["Department of Library and Information Science, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Library and Information Science, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035538764","display_name":"Weijen Teng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164442","display_name":"Dharma Drum Institute of Liberal Arts","ror":"https://ror.org/05hkpfm52","country_code":"TW","type":"education","lineage":["https://openalex.org/I4210164442"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Weijen Teng","raw_affiliation_strings":["Department of Buddhist Studies, Dharma Drum Institute of Liberal Arts, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Buddhist Studies, Dharma Drum Institute of Liberal Arts, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210164442"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067100353","display_name":"Miaohua Lin","orcid":"https://orcid.org/0000-0003-1245-0458"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Miaohua Lin","raw_affiliation_strings":["Department of Library and Information Science, National Taiwan University, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-1245-0458","affiliations":[{"raw_affiliation_string":"Department of Library and Information Science, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054788206"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":1.0078,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77205479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"76","issue":"2","first_page":"462","last_page":"483"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9891999959945679,"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":0.9891999959945679,"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/T10102","display_name":"scientometrics and bibliometrics research","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9075999855995178,"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/similarity","display_name":"Similarity (geometry)","score":0.6232873201370239},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6152005195617676},{"id":"https://openalex.org/keywords/modularity","display_name":"Modularity (biology)","score":0.6144172549247742},{"id":"https://openalex.org/keywords/percolation","display_name":"Percolation (cognitive psychology)","score":0.5085023641586304},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4886029362678528},{"id":"https://openalex.org/keywords/scholarship","display_name":"Scholarship","score":0.48835989832878113},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4732376039028168},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.46885189414024353},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4645741879940033},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3325567841529846},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3230471611022949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3155367970466614},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.31204789876937866},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24545785784721375},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19744715094566345},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16285687685012817}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6232873201370239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6152005195617676},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.6144172549247742},{"id":"https://openalex.org/C2780457167","wikidata":"https://www.wikidata.org/wiki/Q17156484","display_name":"Percolation (cognitive psychology)","level":2,"score":0.5085023641586304},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4886029362678528},{"id":"https://openalex.org/C2778061430","wikidata":"https://www.wikidata.org/wiki/Q188823","display_name":"Scholarship","level":2,"score":0.48835989832878113},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4732376039028168},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.46885189414024353},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4645741879940033},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3325567841529846},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3230471611022949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3155367970466614},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.31204789876937866},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24545785784721375},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19744715094566345},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16285687685012817},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/jd-06-2019-0117","is_oa":false,"landing_page_url":"https://doi.org/10.1108/jd-06-2019-0117","pdf_url":null,"source":{"id":"https://openalex.org/S10082577","display_name":"Journal of Documentation","issn_l":"0022-0418","issn":["0022-0418","1758-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Documentation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W32720541","https://openalex.org/W1537982310","https://openalex.org/W1559665635","https://openalex.org/W1725227998","https://openalex.org/W1964785831","https://openalex.org/W1968583840","https://openalex.org/W1971419707","https://openalex.org/W1979161062","https://openalex.org/W1984558542","https://openalex.org/W1985690616","https://openalex.org/W1995587687","https://openalex.org/W1999052168","https://openalex.org/W2008331969","https://openalex.org/W2012593731","https://openalex.org/W2017680781","https://openalex.org/W2018920031","https://openalex.org/W2020057812","https://openalex.org/W2022428934","https://openalex.org/W2029088861","https://openalex.org/W2031008909","https://openalex.org/W2033094284","https://openalex.org/W2045108252","https://openalex.org/W2046567031","https://openalex.org/W2059599755","https://openalex.org/W2066654416","https://openalex.org/W2069415362","https://openalex.org/W2069425556","https://openalex.org/W2072897447","https://openalex.org/W2079090652","https://openalex.org/W2084773904","https://openalex.org/W2092307040","https://openalex.org/W2099038201","https://openalex.org/W2104033327","https://openalex.org/W2108680868","https://openalex.org/W2116865130","https://openalex.org/W2131681506","https://openalex.org/W2139638568","https://openalex.org/W2141113219","https://openalex.org/W2147002372","https://openalex.org/W2148398225","https://openalex.org/W2153050064","https://openalex.org/W2157574662","https://openalex.org/W2161561236","https://openalex.org/W2164856000","https://openalex.org/W2165425854","https://openalex.org/W2167930514","https://openalex.org/W2168918708","https://openalex.org/W2177496758","https://openalex.org/W2205640179","https://openalex.org/W2482764237","https://openalex.org/W2483026899","https://openalex.org/W2588677838","https://openalex.org/W2617523848","https://openalex.org/W2752447150","https://openalex.org/W2766393705","https://openalex.org/W2803501393","https://openalex.org/W2885940280","https://openalex.org/W2951923752","https://openalex.org/W3098217728","https://openalex.org/W3122100588","https://openalex.org/W4231729317","https://openalex.org/W4233941003","https://openalex.org/W4246123850","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2355650008","https://openalex.org/W4240762098","https://openalex.org/W1548588747","https://openalex.org/W2066005781","https://openalex.org/W2383304772","https://openalex.org/W2110621609","https://openalex.org/W230666287","https://openalex.org/W2260089286","https://openalex.org/W4213259426","https://openalex.org/W128268953"],"abstract_inverted_index":{"Purpose":[0],"One":[1],"of":[2,6,15,28,33,48,63,115,128,158,183,192,202,234],"the":[3,12,22,25,41,60,139,149,155,161,165,174,178,193,208,213,227,232],"chief":[4],"purposes":[5],"bibliometric":[7,29],"analysis":[8,47],"is":[9,241],"to":[10,21,39,58,95,108,120,147,212,224],"reveal":[11],"intellectual":[13,61],"structure":[14,62],"a":[16,129,143,197],"knowledge":[17],"domain.":[18],"Yet":[19],"due":[20],"magnitude":[23],"and":[24,72,78,103,125,180,187,215,230],"heterogeneous":[26],"nature":[27],"networks,":[30],"some":[31],"sorts":[32],"filtering":[34,116,140,220],"procedures":[35,117,221],"are":[36,185],"often":[37],"required":[38],"make":[40],"resulting":[42],"network":[43,88,133],"interpretable.":[44],"A":[45,113],"co-word":[46,81,132],"more":[49,199],"than":[50],"135,000":[51],"scholarly":[52],"publications":[53],"on":[54],"Buddhism":[55,184],"was":[56,118,142,171],"conducted":[57],"compare":[59,96],"Buddhist":[64,135],"studies":[65],"in":[66,100,134,160,177,207],"three":[67],"language":[68],"communities,":[69],"Chinese,":[70],"English":[71,194,209],"Japanese,":[73],"over":[74],"two":[75],"periods":[76],"(1957\u20131986":[77],"1987\u20132016).":[79],"Six":[80],"similarity":[82,150,167],"networks":[83],"were":[84,205,222],"created":[85],"so":[86],"social":[87],"analysis-based":[89],"community-detection":[90],"algorithm":[91],"can":[92],"be":[93],"identified":[94],"major":[97],"research":[98,203],"themes":[99,204],"different":[101],"languages":[102],"eras.":[104],"The":[105,219],"paper":[106],"aims":[107],"discuss":[109],"this":[110],"issue.":[111],"Design/methodology/approach":[112],"series":[114],"performed":[119],"exclude":[121],"less":[122],"discriminatory":[123],"keywords":[124],"spurious":[126],"relationships":[127],"large,":[130],"cross-language":[131],"studies.":[136],"Chief":[137],"among":[138],"heuristics":[141],"percolation-transition":[144],"based":[145],"method":[146],"determine":[148],"threshold":[151],"that":[152,173,191],"involves":[153],"observing":[154],"relative":[156,211],"decrease":[157],"nodes":[159],"giant":[162],"component":[163],"with":[164],"increasing":[166],"threshold.":[168],"Findings":[169],"It":[170],"found":[172],"topical":[175],"patterns":[176],"Chinese":[179,214],"Japanese":[181,216],"scholarship":[182],"alike":[186],"observably":[188],"distinct":[189],"from":[190],"scholarship.":[195],"Furthermore,":[196],"far":[198],"drastic":[200],"changes":[201],"observed":[206],"literature":[210],"literature.":[217],"Originality/value":[218],"shown":[223],"greatly":[225],"enhance":[226],"modularity":[228,235],"values":[229],"limited":[231],"number":[233],"classes;":[236],"thus,":[237],"domain":[238],"expert":[239],"interpretation":[240],"feasible.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
