{"id":"https://openalex.org/W2075760317","doi":"https://doi.org/10.1076/0929-6174(200008)07:02;1-z;ft153","title":"Information Theory and Algorithmic Complexity: Applications to Language Discourses and DNA Sequences as Complex Systems Part II: Complexity of DNa Sequences, Analogy with Linguistic Discourses","display_name":"Information Theory and Algorithmic Complexity: Applications to Language Discourses and DNA Sequences as Complex Systems Part II: Complexity of DNa Sequences, Analogy with Linguistic Discourses","publication_year":2000,"publication_date":"2000-08-01","ids":{"openalex":"https://openalex.org/W2075760317","doi":"https://doi.org/10.1076/0929-6174(200008)07:02;1-z;ft153","mag":"2075760317"},"language":"en","primary_location":{"id":"doi:10.1076/0929-6174(200008)07:02;1-z;ft153","is_oa":false,"landing_page_url":"https://doi.org/10.1076/0929-6174(200008)07:02;1-z;ft153","pdf_url":null,"source":{"id":"https://openalex.org/S24321443","display_name":"Journal of Quantitative Linguistics","issn_l":"0929-6174","issn":["0929-6174","1744-5035"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Routledge","Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quantitative Linguistics","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/A5049026951","display_name":"V. K. Balasubrahmanyan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V.K. Balasubrahmanyan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5022510779","display_name":"S. Naranan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Naranan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.10211745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":"2","first_page":"153","last_page":"183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/zipfs-law","display_name":"Zipf's law","score":0.8890392780303955},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5624217987060547},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5598682165145874},{"id":"https://openalex.org/keywords/information-theory","display_name":"Information theory","score":0.5184585452079773},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.4769505560398102},{"id":"https://openalex.org/keywords/analogy","display_name":"Analogy","score":0.43694180250167847},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3834027647972107},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2540445923805237},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.15705376863479614},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15288802981376648},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14551356434822083}],"concepts":[{"id":"https://openalex.org/C125932096","wikidata":"https://www.wikidata.org/wiki/Q205472","display_name":"Zipf's law","level":2,"score":0.8890392780303955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5624217987060547},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5598682165145874},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.5184585452079773},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.4769505560398102},{"id":"https://openalex.org/C521332185","wikidata":"https://www.wikidata.org/wiki/Q185816","display_name":"Analogy","level":2,"score":0.43694180250167847},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3834027647972107},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2540445923805237},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.15705376863479614},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15288802981376648},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14551356434822083},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1076/0929-6174(200008)07:02;1-z;ft153","is_oa":false,"landing_page_url":"https://doi.org/10.1076/0929-6174(200008)07:02;1-z;ft153","pdf_url":null,"source":{"id":"https://openalex.org/S24321443","display_name":"Journal of Quantitative Linguistics","issn_l":"0929-6174","issn":["0929-6174","1744-5035"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Routledge","Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quantitative Linguistics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1486389922","https://openalex.org/W1491853517","https://openalex.org/W1598934476","https://openalex.org/W1648570772","https://openalex.org/W1981342820","https://openalex.org/W2003342198","https://openalex.org/W2005097301","https://openalex.org/W2010954373","https://openalex.org/W2012044039","https://openalex.org/W2032660335","https://openalex.org/W2050963206","https://openalex.org/W2060108852","https://openalex.org/W2079656678","https://openalex.org/W2108020239","https://openalex.org/W2567782165","https://openalex.org/W2993383518","https://openalex.org/W3003827758","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2996028155","https://openalex.org/W2060479771","https://openalex.org/W3035605494","https://openalex.org/W2951756867","https://openalex.org/W4299420056","https://openalex.org/W76618155","https://openalex.org/W2061278088","https://openalex.org/W2163103544","https://openalex.org/W3039080452","https://openalex.org/W3033899355"],"abstract_inverted_index":{"Linguistic":[0],"discourses":[1],"and":[2,20,51,64,107,118,156,190,194,303],"DNA":[3,258,307],"sequences":[4,259],"in":[5,54,174],"molecular":[6],"biology":[7],"are":[8,295,308],"treated":[9,260],"as":[10,102,104,261],"complex":[11],"adaptive":[12],"systems":[13,99],"with":[14,177,334],"interacting":[15],"coexisting":[16],"elements":[17],"of":[18,28,60,84,100,116,129,151,168,187,208,240,246,263,283,291,326,337],"order":[19,106,117,302],"randomness.":[21],"Following":[22],"a":[23,29,36,41,85,114,136,158,165,204,212,244,266,323],"prescription":[24],"for":[25,40,98,113,123,306,314,318],"\u2018effective":[26],"complexity\u2019":[27],"system":[30],"by":[31],"Gell-Mann,":[32],"we":[33,163,252],"defined":[34],"earlier":[35,161],"complexity":[37,69,241,304],"function":[38],"C":[39,44,93],"linguistic":[42],"discourse.":[43],"depends":[45],"on":[46,57],"two":[47,58],"\u2018order\u2019":[48],"parameters":[49,305,330],"x":[50],"a,":[52],"which":[53,80,134,172,225],"turn":[55],"depend":[56],"kinds":[59],"entropies,":[61],"Shannon":[62,91],"entropy":[63,189],"Algorithmic":[65,68],"(Kolmogorov)":[66],"entropy.":[67,92],"is":[70,108,126,135,148,243,277],"used":[71,184],"to":[72,95,202,210,215,257,297,311],"define":[73],"an":[74],"Optimum":[75],"Meaning":[76],"Preserving":[77],"Code":[78],"(OMPC)":[79],"preserves":[81],"the":[82,90,127,149,216,219,228,236,254,299,338],"\u2018meaning\u2019":[83],"particular":[86],"word":[87,130],"sequence,":[88],"unlike":[89],"tends":[94],"be":[96],"0":[97],"low":[101],"well":[103],"high":[105],"maximum":[109,188],"(C":[110],"=":[111,141],"1)":[112],"mixture":[115],"disorder.":[119],"The":[120,182,198,274],"starting":[121],"point":[122],"our":[124],"analysis":[125],"distribution":[128],"frequencies,":[131],"Zipf\u2019s":[132,169,247],"law,":[133],"power":[137],"law":[138,170,213],"(W":[139],"(k)":[140,147],"B":[142,157],"k":[143,154],"-2),":[144],"where":[145],"W":[146],"frequency":[150],"words":[152],"occurring":[153],"times":[155],"constant).":[159],"In":[160,249],"papers,":[162],"deduced":[164],"modified":[166],"version":[167],"(MPL)":[171],"was":[173,200,233],"better":[175],"agreement":[176],"data":[178],"from":[179,192,265],"natural":[180],"languages.":[181],"model":[183,199],"physical":[185],"principles":[186],"degeneracy":[191],"classical":[193],"quantum":[195],"statistical":[196],"mechanics.":[197],"extended":[201],"speech,":[203],"small":[205],"invariant":[206],"set":[207],"phonemes":[209],"obtain":[211],"similar":[214,310],"MPL,":[217],"called":[218],"Cumulative":[220],"Modified":[221],"Power":[222],"Law":[223],"(CMPL),":[224],"adequately":[226],"fits":[227],"phoneme":[229],"rank":[230,289],"frequencies.":[231],"It":[232],"shown":[234,296],"that":[235],"near":[237],"maximal":[238],"value":[239],"(\u02dc1)":[242],"consequence":[245],"law.":[248],"this":[250],"paper,":[251],"extend":[253],"above":[255],"concepts":[256],"strings":[262],"symbols":[264],"four-letter":[267],"alphabet":[268],"(bases":[269],"A,":[270],"G,":[271],"C,":[272],"U).":[273],"genetic":[275],"code":[276],"examined":[278],"at":[279],"three":[280],"hierarchical":[281],"levels":[282],"codons":[284],"(64,":[285],"26,":[286],"21).":[287],"Codon":[288],"frequencies":[290],"20":[292,320],"different":[293],"species":[294,321],"follow":[298],"CMPL.":[300],"Entropy,":[301],"numerically":[309],"those":[312],"obtained":[313],"language.":[315],"Complexity":[316],"\u02dc1":[317],"all":[319],"spanning":[322],"wide":[324],"range":[325],"evolutionary":[327,335],"age.":[328],"Some":[329],"show":[331],"significant":[332],"correlation":[333],"age":[336],"species.":[339]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}