Convert correlation matrix into a weighted adjacency matrix
    8 views (last 30 days)
  
       Show older comments
    
Hi all,
How would I convert an nxn correlation matrix with a mix of positive and negative numbers into a weighted connection matrix? How should I go about converting the negative numbers into positive ones so that I can eventually plot a directed graph?
0 Comments
Answers (1)
  Abhiram
 on 31 Jan 2025
        Hi Dinal,
I see that you have a correlation matrix and want to convert it to represent a directed graph. 
One way to convert the negative values in the given matrix to positive is to apply a custom transformation that maps [-1, 1] to [0, 1]. For example, the following function scales all the values in the correlation matrix linearly to positive numbers:
transformed_matrix = (correlation_matrix + 1) ./ 2;
The transformed matrix can be used as an adjacency matrix for creating a graph using the MATLAB ‘digraph’ function as shown below:
G = digraph(transformed_matrix);
Refer to the documentation of the ‘digraph’ function for more details. https://www.mathworks.com/help/matlab/ref/digraph.html
0 Comments
See Also
Categories
				Find more on Graph and Network Algorithms in Help Center and File Exchange
			
	Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
