"hypernetwork" meaning in All languages combined

{
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "hyper",
        "3": "network"
      },
      "expansion": "hyper- + network",
      "name": "prefix"
    }
  ],
  "etymology_text": "From hyper- + network.",
  "forms": [
    {
      "form": "hypernetworks",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "hypernetwork (plural hypernetworks)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
            "Entries with incorrect language header",
            "Entry maintenance"
          ],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "English terms prefixed with hyper-",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with 1 entry",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Mathematics",
          "orig": "en:Mathematics",
          "parents": [
            "Formal sciences",
            "Sciences",
            "All topics",
            "Fundamental"
          ],
          "source": "w"
        }
      ],
      "examples": [
        {
          "ref": "2010, Byoung-Tak Zhang, PRICAI 2010: Trends in Artificial Intelligence",
          "text": "The properties of the hypernetwork model are summarized as three aspects: glocality, compositionality and self association based on randomness and recall.",
          "type": "quotation"
        },
        {
          "ref": "2015, Jin-Li Guo, “Bose-Einstein Hypernetworks”, in arXiv",
          "text": "We obtain the stationary average hyperedge hyperdegree distribution of the hypernetwork by the characteristic equation.",
          "type": "quotation"
        }
      ],
      "glosses": [
        "A probabilistic graphical model based on hypergraph models and inspired by biological systems."
      ],
      "id": "en-hypernetwork-en-noun-vEgNrFH-",
      "links": [
        [
          "mathematics",
          "mathematics"
        ],
        [
          "probabilistic",
          "probabilistic"
        ],
        [
          "graphical",
          "graphical"
        ],
        [
          "hypergraph",
          "hypergraph"
        ],
        [
          "biological",
          "biological"
        ]
      ],
      "raw_glosses": [
        "(mathematics) A probabilistic graphical model based on hypergraph models and inspired by biological systems."
      ],
      "topics": [
        "mathematics",
        "sciences"
      ]
    }
  ],
  "word": "hypernetwork"
}

{
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "hyper",
        "3": "network"
      },
      "expansion": "hyper- + network",
      "name": "prefix"
    }
  ],
  "etymology_text": "From hyper- + network.",
  "forms": [
    {
      "form": "hypernetworks",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "hypernetwork (plural hypernetworks)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        "English countable nouns",
        "English entries with incorrect language header",
        "English lemmas",
        "English nouns",
        "English terms prefixed with hyper-",
        "English terms with quotations",
        "Pages with 1 entry",
        "en:Mathematics"
      ],
      "examples": [
        {
          "ref": "2010, Byoung-Tak Zhang, PRICAI 2010: Trends in Artificial Intelligence",
          "text": "The properties of the hypernetwork model are summarized as three aspects: glocality, compositionality and self association based on randomness and recall.",
          "type": "quotation"
        },
        {
          "ref": "2015, Jin-Li Guo, “Bose-Einstein Hypernetworks”, in arXiv",
          "text": "We obtain the stationary average hyperedge hyperdegree distribution of the hypernetwork by the characteristic equation.",
          "type": "quotation"
        }
      ],
      "glosses": [
        "A probabilistic graphical model based on hypergraph models and inspired by biological systems."
      ],
      "links": [
        [
          "mathematics",
          "mathematics"
        ],
        [
          "probabilistic",
          "probabilistic"
        ],
        [
          "graphical",
          "graphical"
        ],
        [
          "hypergraph",
          "hypergraph"
        ],
        [
          "biological",
          "biological"
        ]
      ],
      "raw_glosses": [
        "(mathematics) A probabilistic graphical model based on hypergraph models and inspired by biological systems."
      ],
      "topics": [
        "mathematics",
        "sciences"
      ]
    }
  ],
  "word": "hypernetwork"
}