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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 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] *
4 [Brandon Routh] *
1 [David Fabrizio] *
16 [Jack Larson] *
25 [James Karen] *
9 [Kate Bosworth] *
9 [Parker Posey] *
1 [Sam Huntington] *
1 [Stephan Bender] *
1 [Tristan Lake Leabu] *
1 [Vincent Stone] *
4 [Adventures of Superman] *
1 [Campus Sleuth]
)
= 3.13 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 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 [Brandon Routh] *
1 [David Fabrizio] *
1 [Jack Larson] *
1 [James Karen] *
1 [Kate Bosworth] *
1 [Parker Posey] *
1 [Sam Huntington] *
1 [Stephan Bender] *
1 [Tristan Lake Leabu] *
1 [Vincent Stone] *
1 [Adventures of Superman] *
1 [Campus Sleuth]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
20
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.61%
(3.13 × 1017 overall)
Dominant nodes (excluded from chart)Superman Returns 58.06%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)