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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 20 [Eli Roth] *
4 [Melanie Laurent] *
100 [Brad Pitt] *
36 [Daniel Brühl] *
400 [Inglourious Basterds] *
1 [August Diehl] *
4 [B.J. Novak] *
9 [Christoph Waltz] *
25 [Denis Ménochet] *
16 [Diane Kruger] *
4 [Julie Dreyfus] *
9 [Martin Wuttke] *
36 [Michael Fassbender] *
49 [Mike Myers] *
16 [Omar Doom] *
16 [Sylvester Groth] *
25 [Til Schweiger] *
16 [Lawrence Bender] *
16 [Sönke Möhring] *
16 [Michael Bacall]
)
= 2.76 x 10^24
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Eli Roth] *
1 [Melanie Laurent] *
1 [Brad Pitt] *
1 [Daniel Brühl] *
1 [Inglourious Basterds] *
1 [August Diehl] *
1 [B.J. Novak] *
1 [Christoph Waltz] *
1 [Denis Ménochet] *
1 [Diane Kruger] *
1 [Julie Dreyfus] *
1 [Martin Wuttke] *
1 [Michael Fassbender] *
1 [Mike Myers] *
1 [Omar Doom] *
1 [Sylvester Groth] *
1 [Til Schweiger] *
1 [Lawrence Bender] *
1 [Sönke Möhring] *
1 [Michael Bacall]
)
= 1.25
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.12%
(2.76 × 1024 overall)
Dominant nodes (excluded from chart)Inglourious Basterds 48.84%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)