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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 25 [Mei Melançon] *
16 [Ramona Young] *
9 [DC's Legends of Tomorrow] *
25 [James Marsden] *
4 [Marlon Brando] *
25 [Kal Penn] *
64 [Kevin Spacey] *
16 [Eva Marie Saint] *
9 [Frank Langella] *
9 [Ian Roberts] *
324 [Superman Returns] *
1 [David Fabrizio] *
16 [Jack Larson] *
25 [James Karen] *
9 [Kate Bosworth] *
9 [Noel Neill] *
9 [Parker Posey] *
1 [Sam Huntington] *
1 [Stephan Bender] *
1 [Tristan Lake Leabu] *
1 [Vincent Stone]
)
= 2.82 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Mei Melançon] *
1 [Ramona Young] *
1 [DC's Legends of Tomorrow] *
1 [James Marsden] *
1 [Marlon Brando] *
1 [Kal Penn] *
1 [Kevin Spacey] *
1 [Eva Marie Saint] *
1 [Frank Langella] *
1 [Ian Roberts] *
1 [Superman Returns] *
1 [David Fabrizio] *
1 [Jack Larson] *
1 [James Karen] *
1 [Kate Bosworth] *
1 [Noel Neill] *
1 [Parker Posey] *
1 [Sam Huntington] *
1 [Stephan Bender] *
1 [Tristan Lake Leabu] *
1 [Vincent Stone]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
21
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.66%
(2.82 × 1020 overall)
Dominant nodes (excluded from chart)Superman Returns 53.73%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)