{"id":"https://openalex.org/W2040214483","doi":"https://doi.org/10.1007/978-3-319-14803-8_30","title":"Mechanical Generation of Networks with Surplus Complexity","display_name":"Mechanical Generation of Networks with Surplus Complexity","publication_year":2014,"publication_date":"2014-11-05","ids":{"openalex":"https://openalex.org/W2040214483","doi":"https://doi.org/10.1007/978-3-319-14803-8_30","mag":"2040214483"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-14803-8_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-14803-8_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://sciforum.net/paper/download/2658/manuscript","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078857811","display_name":"Russell K. Standish","orcid":"https://orcid.org/0000-0003-4876-5339"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Russell K. Standish","raw_affiliation_strings":["Mathematics and Statistics, University of New South Wales, Australia","University Of New south Wales"],"affiliations":[{"raw_affiliation_string":"Mathematics and Statistics, University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"University Of New south Wales","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078857811"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18115016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"387","last_page":"394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11445","display_name":"Origins and Evolution of Life","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"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/T12162","display_name":"Cellular Automata and Applications","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/chaotic","display_name":"Chaotic","score":0.559832751750946},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.556534469127655},{"id":"https://openalex.org/keywords/shuffling","display_name":"Shuffling","score":0.5551648736000061},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5415459275245667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46356093883514404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4490724503993988},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34984397888183594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2780808210372925},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11917117238044739}],"concepts":[{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.559832751750946},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.556534469127655},{"id":"https://openalex.org/C167927819","wikidata":"https://www.wikidata.org/wiki/Q1930567","display_name":"Shuffling","level":2,"score":0.5551648736000061},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5415459275245667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46356093883514404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4490724503993988},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34984397888183594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2780808210372925},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11917117238044739},{"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/978-3-319-14803-8_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-14803-8_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"doi:10.3390/ecea-1-b006","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ecea-1-b006","pdf_url":"https://sciforum.net/paper/download/2658/manuscript","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 1st International Electronic Conference on Entropy and Its Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1411.3764","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1411.3764","pdf_url":"https://arxiv.org/pdf/1411.3764","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2040214483","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1411.3764.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1411.3764","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1411.3764","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/ecea-1-b006","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ecea-1-b006","pdf_url":"https://sciforum.net/paper/download/2658/manuscript","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 1st International Electronic Conference on Entropy and Its Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2040214483.pdf","grobid_xml":"https://content.openalex.org/works/W2040214483.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2016154648","https://openalex.org/W2036487775","https://openalex.org/W2041176939","https://openalex.org/W2043689143","https://openalex.org/W2049719481","https://openalex.org/W2103475700","https://openalex.org/W2121951973","https://openalex.org/W2171940639","https://openalex.org/W2177218873","https://openalex.org/W2321047733","https://openalex.org/W2582697902","https://openalex.org/W4230960895"],"related_works":["https://openalex.org/W2962698017","https://openalex.org/W2995228992","https://openalex.org/W2184114035","https://openalex.org/W1933202457","https://openalex.org/W3165254880","https://openalex.org/W2124637492","https://openalex.org/W2027490115","https://openalex.org/W2094143263","https://openalex.org/W2050507603","https://openalex.org/W423486152","https://openalex.org/W2962754981","https://openalex.org/W2088554646","https://openalex.org/W3099533838","https://openalex.org/W2092298257","https://openalex.org/W2948586029","https://openalex.org/W2086320047","https://openalex.org/W2769706562","https://openalex.org/W2103554412","https://openalex.org/W1609749119","https://openalex.org/W2063110493"],"abstract_inverted_index":{"In":[0,65],"previous":[1],"work":[2],"I":[3,68],"examined":[4],"an":[5,30,119],"information":[6],"based":[7],"complexity":[8,51,80,108],"measure":[9,16],"of":[10,84,92,95,117],"networks":[11,46,57],"with":[12,19],"weighted":[13],"links.":[14],"The":[15,82],"was":[17,41],"compared":[18],"that":[20,43,76,107,116],"obtained":[21],"from":[22],"by":[23],"randomly":[24],"shuffling":[25],"the":[26,35,85,90,102],"original":[27,36],"network,":[28],"forming":[29],"Erd\u00f6s-R\u00e9nyi":[31],"random":[32],"network":[33,73,91],"preserving":[34],"link":[37],"weight":[38],"distribution.":[39],"It":[40],"found":[42],"real":[44],"world":[45],"almost":[47],"invariably":[48],"had":[49],"higher":[50],"than":[52,115],"their":[53],"shuffled":[54],"counterparts,":[55],"whereas":[56],"mechanically":[58],"generated":[59],"via":[60],"preferential":[61],"attachment":[62],"did":[63],"not.":[64],"this":[66,79],"paper,":[67],"report":[69],"on":[70],"a":[71,96,111],"mechanical":[72],"generation":[74],"system":[75],"does":[77],"produce":[78],"surplus.":[81],"heart":[83],"idea":[86],"is":[87,110],"to":[88],"construct":[89],"state":[93],"transitions":[94],"chaotic":[97],"dynamical":[98],"system,":[99],"such":[100],"as":[101],"Lorenz":[103],"equation.":[104],"This":[105],"indicates":[106],"surplus":[109],"more":[112],"fundamental":[113],"trait":[114],"being":[118],"evolutionary":[120],"system.":[121]},"counts_by_year":[],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}
