Dear Brainnet viewer team,
                                      I have tried to use Brainnet viewer to illusrate differences in betweenness centality between 2 groups, I constructed node files, they seem to work fine and show the correct location of nodes however the size of the nodes don't correlate with the values of the betweenness centrality.

I have attached the node file, I would be very gratefu for your help.

Regards,

Peter

Dear Peter,

Thanks for using our toolkit. I draw a picture with your node file (attached), and I found that the nodes showed different sizes. The BrainNet Viewer automatically change the nodal sizes using a nonlinear transformation, when you set the nodal size to 'Auto' in the node panel. If you want to show your node with the size exactly correlating to the raw value, I suggest to manually set the nodal size in node file (recommended size is less than 7), and choose 'Raw' for node size in the node panel. 

Thanks
Mingrui

Dear Mingrui,
                  Thanks for your help and quick reply. The problem I get is when I create 2 images - i.e one for controls and one for patients the differences between values of nodes in patient versus control are not represented visually.

For example attached is patient node file - although superior frontal vaules are decreased when compared to controls, this is not demonstarted visually when comparing patient and control images.

Thanks again for your help.
Regards,

Peter

Dear Peter,

In this case, I suggest to manually set the nodal size in the node files. A same linear model can be used onto the values of both healthy and patients to adjust the nodal size into a proper range (recommend: 2~7). And select 'raw' to set nodal size in the 'node panel'.

p.s. the 5th column in node file is for nodal size. 

Thanks,
Mingrui