How is this calculated?
The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.
// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 4) = 4
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 5 = 20
Base_Influence (IV) = $inbound / $outbound = 4 / 5 = 0.8
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 20 *
( 4 [Andy B Franck] *
1 [Milan Loncaric] *
1 [Torsten Ihlenfeld] *
1 [Dieter Bernert] *
4 [Markus Pohl] *
1 [Cedric Dupont] *
1 [Dennis Wohlbold] *
9 [Cedric "Cede" Dupont] *
1 [H. P. Walter] *
1 [Mike Hammer (4)] *
1 [Sascha Sauer] *
1 [Stef Bertolla] *
1 [Steffen Theurer] *
9 [Almanac (3)] *
121 [David Readman] *
25 [Victor Smolski] *
110 [Symphorce] *
20 [Brainstorm] *
2 [Brainstorm (12)]
)
= 345B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.8 *
( 4 [Andy B Franck] *
1 [Milan Loncaric] *
1 [Torsten Ihlenfeld] *
1 [Dieter Bernert] *
1 [Markus Pohl] *
1 [Cedric Dupont] *
1 [Dennis Wohlbold] *
1 [Cedric "Cede" Dupont] *
1 [H. P. Walter] *
1 [Mike Hammer (4)] *
1 [Sascha Sauer] *
1 [Stef Bertolla] *
1 [Steffen Theurer] *
1 [Almanac (3)] *
1 [David Readman] *
1 [Victor Smolski] *
0.9091 [Symphorce] *
0.8 [Brainstorm] *
0.5 [Brainstorm (12)]
)
= 1.16
Outbound
4
Tags on post
Inbound
5
Posts tagging this
Connections
19
Total nodes
Base Node Strength
20
Base Node Influence
0.8
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)David Readman 36.23%Symphorce 32.93%Victor Smolski 7.49%Brainstorm 5.99%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)