Will a Large Complex System be Stable? View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1972-08

AUTHORS

ROBERT M. MAY

ABSTRACT

Gardner and Ashby1 have suggested that large complex systems which are assembled (connected) at random may be expected to be stable up to a certain critical level of connectance, and then, as this increases, to suddenly become unstable. Their conclusions were based on the trend of computer studies of systems with 4, 7 and 10 variables. More... »

PAGES

413-414

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/238413a0

DOI

http://dx.doi.org/10.1038/238413a0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1049160071

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/4559589


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0806", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information Systems", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ecology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Theoretical", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "School of Physics, University of Sydney, Sydney, NSW", 
          "id": "http://www.grid.ac/institutes/grid.1013.3", 
          "name": [
            "Institute for Advanced Study, 08540, Princeton, New Jersey", 
            "School of Physics, University of Sydney, Sydney, NSW"
          ], 
          "type": "Organization"
        }, 
        "familyName": "MAY", 
        "givenName": "ROBERT M.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/228784a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000237770", 
          "https://doi.org/10.1038/228784a0"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1972-08", 
    "datePublishedReg": "1972-08-01", 
    "description": "Gardner and Ashby1 have suggested that large complex systems which are assembled (connected) at random may be expected to be stable up to a certain critical level of connectance, and then, as this increases, to suddenly become unstable. Their conclusions were based on the trend of computer studies of systems with 4, 7 and 10 variables.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/238413a0", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1018957", 
        "issn": [
          "0028-0836", 
          "1476-4687"
        ], 
        "name": "Nature", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5364", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "238"
      }
    ], 
    "keywords": [
      "large complex systems", 
      "complex systems", 
      "computer studies", 
      "certain critical level", 
      "system", 
      "critical level", 
      "variables", 
      "Gardner", 
      "connectance", 
      "trends", 
      "study", 
      "conclusion", 
      "levels"
    ], 
    "name": "Will a Large Complex System be Stable?", 
    "pagination": "413-414", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1049160071"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/238413a0"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "4559589"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/238413a0", 
      "https://app.dimensions.ai/details/publication/pub.1049160071"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-11-24T20:45", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/article/article_147.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/238413a0"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/238413a0'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/238413a0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/238413a0'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/238413a0'


 

This table displays all metadata directly associated to this object as RDF triples.

86 TRIPLES      21 PREDICATES      42 URIs      33 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/238413a0 schema:about N5851a233b5814f29aeca0fd73832f0cd
2 N73179829de58412bb388b8b14c3761b0
3 anzsrc-for:08
4 anzsrc-for:0806
5 schema:author Nbf600609d7364dd09cf01371291fa5ca
6 schema:citation sg:pub.10.1038/228784a0
7 schema:datePublished 1972-08
8 schema:datePublishedReg 1972-08-01
9 schema:description Gardner and Ashby1 have suggested that large complex systems which are assembled (connected) at random may be expected to be stable up to a certain critical level of connectance, and then, as this increases, to suddenly become unstable. Their conclusions were based on the trend of computer studies of systems with 4, 7 and 10 variables.
10 schema:genre article
11 schema:isAccessibleForFree false
12 schema:isPartOf N140c9268037d42cf98d2bb5701167d2f
13 Nf530a4dbee8d47a49107629a0fd50b1c
14 sg:journal.1018957
15 schema:keywords Gardner
16 certain critical level
17 complex systems
18 computer studies
19 conclusion
20 connectance
21 critical level
22 large complex systems
23 levels
24 study
25 system
26 trends
27 variables
28 schema:name Will a Large Complex System be Stable?
29 schema:pagination 413-414
30 schema:productId N2884210c9d0a4f28ac41004d29303652
31 N4bab2903fe6b4b4088f831d2416f5d59
32 N8dad88506a094bc1b2e7c2c2a2895465
33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049160071
34 https://doi.org/10.1038/238413a0
35 schema:sdDatePublished 2022-11-24T20:45
36 schema:sdLicense https://scigraph.springernature.com/explorer/license/
37 schema:sdPublisher Nae7c14fb7457491b8c5c6b4f3165c1ce
38 schema:url https://doi.org/10.1038/238413a0
39 sgo:license sg:explorer/license/
40 sgo:sdDataset articles
41 rdf:type schema:ScholarlyArticle
42 N140c9268037d42cf98d2bb5701167d2f schema:issueNumber 5364
43 rdf:type schema:PublicationIssue
44 N2884210c9d0a4f28ac41004d29303652 schema:name dimensions_id
45 schema:value pub.1049160071
46 rdf:type schema:PropertyValue
47 N4bab2903fe6b4b4088f831d2416f5d59 schema:name doi
48 schema:value 10.1038/238413a0
49 rdf:type schema:PropertyValue
50 N5851a233b5814f29aeca0fd73832f0cd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
51 schema:name Models, Theoretical
52 rdf:type schema:DefinedTerm
53 N6ed1dbe31b4343ce995560d2458bb56b schema:affiliation grid-institutes:grid.1013.3
54 schema:familyName MAY
55 schema:givenName ROBERT M.
56 rdf:type schema:Person
57 N73179829de58412bb388b8b14c3761b0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
58 schema:name Ecology
59 rdf:type schema:DefinedTerm
60 N8dad88506a094bc1b2e7c2c2a2895465 schema:name pubmed_id
61 schema:value 4559589
62 rdf:type schema:PropertyValue
63 Nae7c14fb7457491b8c5c6b4f3165c1ce schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 Nbf600609d7364dd09cf01371291fa5ca rdf:first N6ed1dbe31b4343ce995560d2458bb56b
66 rdf:rest rdf:nil
67 Nf530a4dbee8d47a49107629a0fd50b1c schema:volumeNumber 238
68 rdf:type schema:PublicationVolume
69 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
70 schema:name Information and Computing Sciences
71 rdf:type schema:DefinedTerm
72 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
73 schema:name Information Systems
74 rdf:type schema:DefinedTerm
75 sg:journal.1018957 schema:issn 0028-0836
76 1476-4687
77 schema:name Nature
78 schema:publisher Springer Nature
79 rdf:type schema:Periodical
80 sg:pub.10.1038/228784a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000237770
81 https://doi.org/10.1038/228784a0
82 rdf:type schema:CreativeWork
83 grid-institutes:grid.1013.3 schema:alternateName School of Physics, University of Sydney, Sydney, NSW
84 schema:name Institute for Advanced Study, 08540, Princeton, New Jersey
85 School of Physics, University of Sydney, Sydney, NSW
86 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...