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/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0104", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Statistics", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Faculty of Informatics, Masaryk University, Brno, Czech Republic", 
          "id": "http://www.grid.ac/institutes/grid.10267.32", 
          "name": [
            "Faculty of Informatics, Masaryk University, Brno, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bene\u0161", 
        "givenName": "Nikola", 
        "id": "sg:person.014465763501.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014465763501.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Faculty of Informatics, Masaryk University, Brno, Czech Republic", 
          "id": "http://www.grid.ac/institutes/grid.10267.32", 
          "name": [
            "Faculty of Informatics, Masaryk University, Brno, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brim", 
        "givenName": "Lubo\u0161", 
        "id": "sg:person.0645117057.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645117057.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Faculty of Informatics, Masaryk University, Brno, Czech Republic", 
          "id": "http://www.grid.ac/institutes/grid.10267.32", 
          "name": [
            "Faculty of Informatics, Masaryk University, Brno, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pastva", 
        "givenName": "Samuel", 
        "id": "sg:person.016130263073.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016130263073.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Faculty of Informatics, Masaryk University, Brno, Czech Republic", 
          "id": "http://www.grid.ac/institutes/grid.10267.32", 
          "name": [
            "Faculty of Informatics, Masaryk University, Brno, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "\u0160afr\u00e1nek", 
        "givenName": "David", 
        "id": "sg:person.011410250615.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011410250615.43"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2019-04-03", 
    "datePublishedReg": "2019-04-03", 
    "description": "Digital bifurcation analysis is a new algorithmic method for exploring how the behaviour of a parameter-dependent computer system varies with a change in its parameters and, in particular, for identification of bifurcation points where such variation becomes dramatic. We have developed the method in an analogy with the traditional bifurcation theory and have it successfully applied to models taken from systems biology. In this case study paper, we demonstrate the appropriateness and usefulness of the digital bifurcation analysis as a push-button alternative to the classical approaches as traditionally used for analysing the stability of TCP/IP protocols. We consider two typical examples (congestion control and buffer sizes throughput influence) and show that the method provides the same results as obtained with classical non-automatic analytical and numerical methods.", 
    "editor": [
      {
        "familyName": "Vojnar", 
        "givenName": "Tom\u00e1\u0161", 
        "type": "Person"
      }, 
      {
        "familyName": "Zhang", 
        "givenName": "Lijun", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-030-17465-1_19", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-030-17464-4", 
        "978-3-030-17465-1"
      ], 
      "name": "Tools and Algorithms for the Construction and Analysis of Systems", 
      "type": "Book"
    }, 
    "keywords": [
      "bifurcation analysis", 
      "bifurcation theory", 
      "numerical method", 
      "bifurcation point", 
      "TCP dynamics", 
      "new algorithmic method", 
      "algorithmic methods", 
      "classical approach", 
      "typical example", 
      "systems biology", 
      "same results", 
      "TCP/IP protocol", 
      "computer systems", 
      "theory", 
      "dynamics", 
      "analogy", 
      "IP protocol", 
      "parameters", 
      "model", 
      "point", 
      "approach", 
      "stability", 
      "system", 
      "analysis", 
      "such variation", 
      "behavior", 
      "results", 
      "study paper", 
      "variation", 
      "usefulness", 
      "alternative", 
      "identification", 
      "biology", 
      "case study paper", 
      "protocol", 
      "appropriateness", 
      "changes", 
      "method", 
      "example", 
      "paper"
    ], 
    "name": "Digital Bifurcation Analysis of TCP Dynamics", 
    "pagination": "339-356", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113213092"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-030-17465-1_19"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-030-17465-1_19", 
      "https://app.dimensions.ai/details/publication/pub.1113213092"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-05-20T07:42", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/chapter/chapter_142.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-030-17465-1_19"
  }
]

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

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

126 TRIPLES      23 PREDICATES      65 URIs      58 LITERALS      7 BLANK NODES