Hello Seda,

Regarding your question about the range of betweenness centrality values, it is important to note that the interpretation and normalization of centrality measures can vary depending on the context and the specific research field. While it is true that betweenness centrality values are typically normalized between 0 and 1, there can be situations where the values fall outside this range.

In the case of structural connectome analysis, betweenness centrality represents the extent to which a node in the network lies on the shortest paths between other nodes. The absolute values of betweenness centrality can depend on various factors, such as the size and density of the network, the specific metric used to calculate betweenness centrality, and the characteristics of the data.

If the betweenness centrality values in your study fall within a broader range (e.g., 0 to 1965), it doesn't necessarily mean they are incorrect or inappropriate. However, you may consider normalizing the values for better comparability with other studies or for ease of interpretation.

One common approach to normalize betweenness centrality values is to divide each value by the maximum betweenness centrality value in the network. This rescales the values to a range of 0 to 1. The formula for normalization would be:

normalized_betweenness_centrality = betweenness_centrality / max_betweenness_centrality

By applying this normalization procedure, your betweenness centrality values will be scaled between 0 and 1, which can facilitate easier comparisons and interpretation across studies.

It is important to note that the decision to normalize betweenness centrality values ultimately depends on the norms and expectations within your specific research field. If you are unsure about the appropriate approach, it can be helpful to consult with your research advisor or domain experts to ensure that your methodology aligns with the standards of the field.

Best of luck with your paper submission!

Here is the definitionof the node betwenness centrality from BCT: "Node betweenness centrality is the fraction of all shortest paths in the network that contain a given node. Nodes with high values of betweenness centrality participate in a large number of shortest paths"

According to this description, you shouldn't be getting values larger than 1. Possibly an innocent bug somewhere?

Thank you very much for your help!!

Alireza Falakdin, I will do as you suggested!

Best

Seda