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 *
( 30 [Tim Thomerson] *
9 [Kathryn Bigelow] *
16 [Lance Henriksen] *
25 [Troy Evans] *
16 [Adrian Pasdar] *
400 [Near Dark] *
16 [Bill Paxton] *
4 [James Le Gros] *
25 [Jenette Goldstein] *
16 [Robert Winley] *
36 [Roger Aaron Brown] *
16 [Bob Ivy] *
1 [Danny Kopel] *
1 [Edward Corbett] *
1 [Jan King] *
1 [Jenny Wright] *
1 [Joshua John Miller] *
1 [Kenny Call] *
1 [Marcie Leeds] *
1 [Thomas Wagner]
)
= 1.02 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.2 [Tim Thomerson] *
1 [Kathryn Bigelow] *
1 [Lance Henriksen] *
1 [Troy Evans] *
1 [Adrian Pasdar] *
1 [Near Dark] *
1 [Bill Paxton] *
1 [James Le Gros] *
1 [Jenette Goldstein] *
1 [Robert Winley] *
1 [Roger Aaron Brown] *
1 [Bob Ivy] *
1 [Danny Kopel] *
1 [Edward Corbett] *
1 [Jan King] *
1 [Jenny Wright] *
1 [Joshua John Miller] *
1 [Kenny Call] *
1 [Marcie Leeds] *
1 [Thomas Wagner]
)
= 1.2
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)
0.16%
(1.02 × 1016 overall)
Dominant nodes (excluded from chart)Near Dark 64.72%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)