setNodeLabels (networkvisualizer)

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setNodeLabels (networkvisualizer)

Set the node labels of a networkvisualizer object.

Syntax

net = setNodeLabels(net, values)
net = setNodeLabels(net, values, categories)
net = setNodeLabels(net, values, categories, classname)

Arguments

• net: Networkvisualizer object created with function networkvisualizer.
• values: A cell array containing the node labels to be displayed.
• categories: A vector specifying the class categories which the modifications will apply.
• classname: A string that specifies which node class the given categories correspond to.

Description

• net = setNodeLabels(net, values) sets the node label of every node i to the string provided in values{i}. Thus, the values should be cell array of length equal to the number of nodes.
• net = setNodeLabels(net, values, categories) uses the node class categories in categories to specify which nodes to be updated. For example, setNodeLabels(net, {'label1', 'label2'}, {'A', 'B'}) sets the labels of nodes with category 'A' to 'label1' and nodes with category 'B' to 'label2'. This type of specification allows conditional formatting of nodes with respect to the categories provided. By default, it is assumed that the categories correspond to the first node class added by the addNodeClass function.
• net = setNodeLabels(net, values, categories, classname) uses the node class with name classname for the provided categories.

Examples

Setting the node labels

rng(1, 'twister'); % For reproducibility
W = [0 1 1 0 0;1 0 0 1 1;1 0 0 0 0;0 0 0 0 1;1 0 1 0 0];
labels = {'M30931','L07625','K03454','M27323','M15390'};
net = networkvisualizer(W);
net = setNodeLabels(net, labels);
plot(net);

which produces:

Updating labels using node classes

categories = {'M', 'L', 'K', 'M', 'M'}';
net = addNodeClass(net, categories);
net = setNodeLabels(net, {'Category M'}, 'M');
net = setNodeFontSize(net, 9.5, 'M');

which produces:

See Also

networkvisualizer, addNodeClass, setNodeSizes, setNodeFontSize