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 *
( 12 [Ron Blanchard] *
1 [Alex Henke] *
4 [Oliver Fliegel] *
1 [Eike Freese] *
1 [Finn Dierks] *
1 [Hendrik Brückner] *
1 [Jörn Schubert] *
1 [Martin Reichert] *
4 [Torsten Eggert] *
1 [Thorsten Eggert] *
1 [Jörn Schubert] *
64 [Dark at Dawn] *
1 [Oliver Schwickert] *
1 [Thorsten Kohlrausch] *
1 [Torsten Scharf] *
1 [Matthias Majkowski] *
1 [Michael Lowin] *
1 [Torsten Sauerbrey] *
1 [Florian Schröder] *
132 [Dark Age]
)
= 6.49M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Ron Blanchard] *
1 [Alex Henke] *
1 [Oliver Fliegel] *
1 [Eike Freese] *
1 [Finn Dierks] *
1 [Hendrik Brückner] *
1 [Jörn Schubert] *
1 [Martin Reichert] *
1 [Torsten Eggert] *
1 [Thorsten Eggert] *
1 [Jörn Schubert] *
1 [Dark at Dawn] *
1 [Oliver Schwickert] *
1 [Thorsten Kohlrausch] *
1 [Torsten Scharf] *
1 [Matthias Majkowski] *
1 [Michael Lowin] *
1 [Torsten Sauerbrey] *
1 [Florian Schröder] *
0.9167 [Dark Age]
)
= 1.22
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)Dark Age 56.17%Dark at Dawn 27.23%Ron Blanchard 5.11%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)