Adjacency Matrix

The adjacency matrix, also known as the “adjacency matrix”, is a fundamental concept in network theory and graph theory. This mathematical form of representation enables the clear mapping of relationships and connections between individual elements of a network.

In computer science and applied mathematics, the adjacency matrix is used to visualize the connections between nodes in a graph in a clear and structured way. This involves creating a square matrix whose rows and columns correspond to the individual nodes. The entries in the matrix provide information on whether and to what extent there is a connection between the corresponding nodes.

This form of representation is not only relevant in network theory, but is also used in various areas such as data analysis, social network analysis and traffic network optimization. The adjacency matrix makes it possible to analyze complex relationship structures and apply algorithmic methods to networks.