def METHOD_NAME(data, name="name", ident="id"):
    """
    Create a NetworkX graph from a dictionary in cytoscape JSON format.
    Parameters
    ----------
    data : dict
        A dictionary of data conforming to cytoscape JSON format.
    name : string
        A string which is mapped to the 'name' node element in cyjs format.
        Must not have the same value as `ident`.
    ident : string
        A string which is mapped to the 'id' node element in cyjs format.
        Must not have the same value as `name`.
    Returns
    -------
    graph : a NetworkX graph instance
        The `graph` can be an instance of `Graph`, `DiGraph`, `MultiGraph`, or
        `MultiDiGraph` depending on the input data.
    Raises
    ------
    NetworkXError
        If the `name` and `ident` attributes are identical.
    See Also
    --------
    cytoscape_data: convert a NetworkX graph to a dict in cyjs format
    References
    ----------
    .. [1] Cytoscape user's manual:
       http://manual.cytoscape.org/en/stable/index.html
    Examples
    --------
    >>> data_dict = {
    ...     'data': [],
    ...     'directed': False,
    ...     'multigraph': False,
    ...     'elements': {'nodes': [{'data': {'id': '0', 'value': 0, 'name': '0'}},
    ...       {'data': {'id': '1', 'value': 1, 'name': '1'}}],
    ...      'edges': [{'data': {'source': 0, 'target': 1}}]}
    ... }
    >>> G = nx.cytoscape_graph(data_dict)
    >>> G.name
    ''
    >>> G.nodes()
    NodeView((0, 1))
    >>> G.nodes(data=True)[0]
    {'id': '0', 'value': 0, 'name': '0'}
    >>> G.edges(data=True)
    EdgeDataView([(0, 1, {'source': 0, 'target': 1})])
    """
    if name == ident:
        raise nx.NetworkXError("name and ident must be different.")
    multigraph = data.get("multigraph")
    directed = data.get("directed")
    if multigraph:
        graph = nx.MultiGraph()
    else:
        graph = nx.Graph()
    if directed:
        graph = graph.to_directed()
    graph.graph = dict(data.get("data"))
    for d in data["elements"]["nodes"]:
        node_data = d["data"].copy()
        node = d["data"]["value"]
        if d["data"].get(name):
            node_data[name] = d["data"].get(name)
        if d["data"].get(ident):
            node_data[ident] = d["data"].get(ident)
        graph.add_node(node)
        graph.nodes[node].update(node_data)
    for d in data["elements"]["edges"]:
        edge_data = d["data"].copy()
        sour = d["data"]["source"]
        targ = d["data"]["target"]
        if multigraph:
            key = d["data"].get("key", 0)
            graph.add_edge(sour, targ, key=key)
            graph.edges[sour, targ, key].update(edge_data)
        else:
            graph.add_edge(sour, targ)
            graph.edges[sour, targ].update(edge_data)
    return graph