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Las gráficas modelan las conexiones de una red y se aplican ampliamente a una gran variedad de sistemas físicos, biológicos y de información. Es posible usar gráficas para modelar las neuronas de un cerebro, los patrones de vuelo de una línea aérea y mucho más. La estructura de una gráfica está compuesta de “nodos” y “bordes”. Cada nodo representa una entidad, y cada borde, una conexión entre dos nodos. Para obtener más información, consulte Directed and Undirected Graphs.
GraphPlot | Graph plot for directed and undirected graphs |
GraphPlot Properties | Graph plot appearance and behavior |
Directed and Undirected Graphs
Introduction to directed and undirected graphs.
This example shows an application of sparse matrices and explains the relationship between graphs and matrices.
Modify Nodes and Edges of Existing Graph
This example shows how to access and modify the nodes and/or edges in a graph
or digraph
object using the addedge
, rmedge
, addnode
, rmnode
, findedge
, findnode
, and subgraph
functions.
Add Graph Node Names, Edge Weights, and Other Attributes
This example shows how to add attributes to the nodes and edges in graphs created using graph
and digraph
.
Graph Plotting and Customization
This example shows how to plot graphs, and then customize the display to add labels or highlighting to the graph nodes and edges.
This example shows how to add and customize labels on graph nodes and edges.
Add Node Properties to Graph Plot Data Tips
This example shows how to customize GraphPlot
data tips to display extra node properties of a graph.
Visualize Breadth-First and Depth-First Search
This example shows how to define a function that visualizes the results of bfsearch
and dfsearch
by highlighting the nodes and edges of a graph.