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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 72 [Rachel McAdams] *
256 [Philip Seymour Hoffman] *
64 [Robin Wright] *
36 [Daniel Brühl] *
9 [Martin Wuttke] *
324 [A Most Wanted Man] *
16 [Mehdi Dehbi] *
16 [Derya Alabora] *
1 [Franz Hartwig] *
4 [Grigoriy Dobrygin] *
1 [Homayoun Ershadi] *
16 [Kostja Ullmann] *
1 [Neil Malik Abdullah] *
1 [Nina Hoss] *
4 [Rainer Bock] *
1 [Tamer Yigit] *
4 [Vicky Krieps] *
1 [René Lay]
)
= 3.25 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.13 [Rachel McAdams] *
1 [Philip Seymour Hoffman] *
1 [Robin Wright] *
1 [Daniel Brühl] *
1 [Martin Wuttke] *
1 [A Most Wanted Man] *
1 [Mehdi Dehbi] *
1 [Derya Alabora] *
1 [Franz Hartwig] *
1 [Grigoriy Dobrygin] *
1 [Homayoun Ershadi] *
1 [Kostja Ullmann] *
1 [Neil Malik Abdullah] *
1 [Nina Hoss] *
1 [Rainer Bock] *
1 [Tamer Yigit] *
1 [Vicky Krieps] *
1 [René Lay]
)
= 1.13
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.12%
(3.25 × 1016 overall)
Dominant nodes (excluded from chart)A Most Wanted Man 39.13%Philip Seymour Hoffman 30.92%Rachel McAdams 8.70%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)