{"id":"https://openalex.org/W2043590674","doi":"https://doi.org/10.1109/coginfocom.2014.7020490","title":"Topic overlay maps and the cognitive structure of policy-related SSH","display_name":"Topic overlay maps and the cognitive structure of policy-related SSH","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2043590674","doi":"https://doi.org/10.1109/coginfocom.2014.7020490","mag":"2043590674"},"language":"en","primary_location":{"id":"doi:10.1109/coginfocom.2014.7020490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom.2014.7020490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom)","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/A5084314276","display_name":"S\u00e1ndor So\u00f3s","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140733","display_name":"Library and Information Centre of the Hungarian Academy of Sciences","ror":"https://ror.org/04ws47v52","country_code":"HU","type":"archive","lineage":["https://openalex.org/I4210140733","https://openalex.org/I7597260"]},{"id":"https://openalex.org/I7597260","display_name":"Hungarian Academy of Sciences","ror":"https://ror.org/02ks8qq67","country_code":"HU","type":"funder","lineage":["https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Sandor Soos","raw_affiliation_strings":["Dept. Science Policy & Scientometrics, Library and Information Centre of the Hungarian Academy of Sciences, Budapest, Hungary","Dept. Science Policy & Scientometrics, Library and Information Centre of the Hungarian Academy of Sciences, Arany J\u00e1nos. u. 1. H-1051 Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Dept. Science Policy & Scientometrics, Library and Information Centre of the Hungarian Academy of Sciences, Budapest, Hungary","institution_ids":["https://openalex.org/I4210140733"]},{"raw_affiliation_string":"Dept. Science Policy & Scientometrics, Library and Information Centre of the Hungarian Academy of Sciences, Arany J\u00e1nos. u. 1. H-1051 Budapest, Hungary","institution_ids":["https://openalex.org/I7597260"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033239099","display_name":"Zs\u00f3fia Vikt\u00f3ria Vida","orcid":"https://orcid.org/0000-0001-8179-4233"},"institutions":[{"id":"https://openalex.org/I7597260","display_name":"Hungarian Academy of Sciences","ror":"https://ror.org/02ks8qq67","country_code":"HU","type":"funder","lineage":["https://openalex.org/I7597260"]},{"id":"https://openalex.org/I4210140733","display_name":"Library and Information Centre of the Hungarian Academy of Sciences","ror":"https://ror.org/04ws47v52","country_code":"HU","type":"archive","lineage":["https://openalex.org/I4210140733","https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Zsofia Vida","raw_affiliation_strings":["Dept. Science Policy & Scientometrics, Library and Information Centre of the Hungarian Academy of Sciences, Budapest, Hungary","Dept. Science Policy & Scientometrics, Library and Information Centre of the Hungarian Academy of Sciences, Arany J\u00e1nos. u. 1. H-1051 Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Dept. Science Policy & Scientometrics, Library and Information Centre of the Hungarian Academy of Sciences, Budapest, Hungary","institution_ids":["https://openalex.org/I4210140733"]},{"raw_affiliation_string":"Dept. Science Policy & Scientometrics, Library and Information Centre of the Hungarian Academy of Sciences, Arany J\u00e1nos. u. 1. H-1051 Budapest, Hungary","institution_ids":["https://openalex.org/I7597260"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084314276"],"corresponding_institution_ids":["https://openalex.org/I4210140733","https://openalex.org/I7597260"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11116229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"413","last_page":"418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.926800012588501,"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"}},"topics":[{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.926800012588501,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9261999726295471,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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":0.9132000207901001,"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/toolbox","display_name":"Toolbox","score":0.7742496728897095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7085738778114319},{"id":"https://openalex.org/keywords/overlay","display_name":"Overlay","score":0.5537835955619812},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5442689657211304},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5302364826202393},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5171543955802917},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5099707841873169},{"id":"https://openalex.org/keywords/cognitive-map","display_name":"Cognitive map","score":0.470567911863327},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4497338831424713},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.43698593974113464},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.42103660106658936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2890554666519165},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.0861501693725586},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.084992915391922},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.0812004804611206}],"concepts":[{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.7742496728897095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7085738778114319},{"id":"https://openalex.org/C136085584","wikidata":"https://www.wikidata.org/wiki/Q910289","display_name":"Overlay","level":2,"score":0.5537835955619812},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5442689657211304},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5302364826202393},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5171543955802917},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5099707841873169},{"id":"https://openalex.org/C170494330","wikidata":"https://www.wikidata.org/wiki/Q1778434","display_name":"Cognitive map","level":3,"score":0.470567911863327},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4497338831424713},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.43698593974113464},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42103660106658936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2890554666519165},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0861501693725586},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.084992915391922},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0812004804611206},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coginfocom.2014.7020490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom.2014.7020490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.550000011920929,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1595956925","https://openalex.org/W2014410510","https://openalex.org/W2033795921","https://openalex.org/W2110158660","https://openalex.org/W2117269329","https://openalex.org/W2156432498","https://openalex.org/W2185859000","https://openalex.org/W2951923752","https://openalex.org/W2953237954","https://openalex.org/W6686508619"],"related_works":["https://openalex.org/W4205140848","https://openalex.org/W2068663075","https://openalex.org/W2978678743","https://openalex.org/W2797837731","https://openalex.org/W2150344375","https://openalex.org/W829257147","https://openalex.org/W3081389670","https://openalex.org/W4390832911","https://openalex.org/W4385302116","https://openalex.org/W1925744677"],"abstract_inverted_index":{"The":[0,17,80],"paper":[1],"proposes":[2],"a":[3,30,109,122],"text-mining":[4],"based":[5,20,127],"analytical":[6],"framework":[7],"aiming":[8],"at":[9],"the":[10,33,62,67,119,129],"cognitive":[11,70],"organization":[12],"of":[13,32,52,69,87,103,121,132],"complex":[14],"scientific":[15,78,92],"discourses.":[16],"approach":[18],"is":[19,47,75,115],"on":[21,118,128],"science":[22],"mapping":[23],"models":[24],"recently":[25],"developed":[26],"in":[27,54],"infoscience,":[28],"being":[29],"generalization":[31],"so-called":[34],"Science":[35],"Overlay":[36,43],"Mapping":[37,44],"methodology,":[38],"referred":[39],"to":[40],"as":[41],"Topic":[42],"(TOM).":[45],"It":[46],"shown":[48],"that":[49,95],"via":[50],"applications":[51],"TOM":[53],"visualization,":[55],"document":[56],"clustering,":[57],"time":[58],"series":[59],"analysis":[60],"etc.":[61],"in-depth":[63],"exploration":[64,102],"and":[65,72,98],"even":[66],"measurement":[68],"complexity":[71],"its":[73],"dynamics":[74],"feasible":[76],"for":[77,83],"domains.":[79],"methodology":[81],"allows":[82],"an":[84,112],"ICT-based":[85],"understanding":[86],"contexts":[88],"induced":[89],"by":[90],"large-scale":[91],"text":[93],"collections":[94],"deeply":[96],"enhance":[97],"drive":[99],"further,":[100],"detailed":[101],"their":[104],"contents":[105],"(augmented":[106],"cognition).":[107],"As":[108],"use":[110],"case,":[111],"empirical":[113],"study":[114],"presented,":[116],"focusing":[117],"discovery":[120],"policy-relevant":[123],"discourse":[124],"within":[125],"SSH":[126],"proposed":[130],"toolbox":[131],"TOM.":[133]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
