Social Networks Visualizer

But when it comes to calculating the Group Betweenness Centralisation, I am not getting the same result using the same input-file with Pajek and SocNetV.
Hi there,
When calculating the GBC, you mention the reference of Wasserman & Faust, but I am getting a wrong result.

Example:
--------------------------------------------
*Vertices 5
1 "V1" 0.5 0.8 0.5000
2 "V2" 0.8 0.4 0.5000
3 "V3" 0.6 0.1 0.5000
4 "V4" 0.25 0.6 0.5000
5 "V5" 0.3 0.2 0.5000
*Arcs
1 2 1
2 3 1
2 5 1
3 5 1
3 1 1
4 2 1
5 4 1
*Edges
---------------------------------------------
Using Pajek and calculating the GBC on my own, GBC=0,45833.
Using SocNetV: GBC=0,3125.

As far as I know are both programs using Wasserman & Faust, p.192, 5.14 for calculating the GBC.
Any guess what is causing the different results?