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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 36 [Insania] *
1 [Tomas Stolt] *
1 [Dimitri Keiski] *
1 [Henrik Juhano] *
1 [Niklas Dahlin (2)] *
4 [Peter Ãstros] *
225 [Jaded Heart] *
1 [Axel Kruse] *
4 [Bodo Stricker] *
1 [Henning Wanner] *
1 [Michael Müller] *
1 [Peter Östros] *
100 [Alex Beyrodt] *
25 [Alexander Beyrodt] *
225 [Michael Bormann] *
1 [Barish Kepic] *
1 [Chris Ivo] *
1 [Dirk Bormann] *
1 [Pete Ostros] *
4 [Dirk Böhmer]
)
= 1.17T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Insania] *
1 [Tomas Stolt] *
1 [Dimitri Keiski] *
1 [Henrik Juhano] *
1 [Niklas Dahlin (2)] *
1 [Peter Ãstros] *
1 [Jaded Heart] *
1 [Axel Kruse] *
1 [Bodo Stricker] *
1 [Henning Wanner] *
1 [Michael Müller] *
1 [Peter Östros] *
1 [Alex Beyrodt] *
1 [Alexander Beyrodt] *
1 [Michael Bormann] *
1 [Barish Kepic] *
1 [Chris Ivo] *
1 [Dirk Bormann] *
1 [Pete Ostros] *
1 [Dirk Böhmer]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Jaded Heart 35.21%Michael Bormann 35.21%Alex Beyrodt 15.65%Insania 5.63%Alexander Beyrodt 3.91%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)