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 *
( 12 [Charlotte Riley] *
196 [Morgan Freeman] *
25 [Bryan Larkin] *
16 [Alon Aboutboul] *
16 [Angela Bassett] *
9 [Guy Williams] *
36 [Aaron Eckhart] *
16 [Waleed Zuaiter] *
25 [Gerard Butler] *
400 [London Has Fallen] *
25 [Adel Bencherif] *
25 [Julian Kostov] *
1 [Martin Petrushev] *
16 [Mehdi Dehbi] *
1 [Michael Wildman] *
1 [Owen Davis] *
1 [Penny Downie] *
16 [Radha Mitchell] *
25 [Shivaani Ghai] *
1 [Stacy Shane]
)
= 3.12 x 10^21
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Charlotte Riley] *
1 [Morgan Freeman] *
1 [Bryan Larkin] *
1 [Alon Aboutboul] *
1 [Angela Bassett] *
1 [Guy Williams] *
1 [Aaron Eckhart] *
1 [Waleed Zuaiter] *
1 [Gerard Butler] *
1 [London Has Fallen] *
1 [Adel Bencherif] *
1 [Julian Kostov] *
1 [Martin Petrushev] *
1 [Mehdi Dehbi] *
1 [Michael Wildman] *
1 [Owen Davis] *
1 [Penny Downie] *
1 [Radha Mitchell] *
1 [Shivaani Ghai] *
1 [Stacy Shane]
)
= 1.33
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%
(3.12 × 1021 overall)
Dominant nodes (excluded from chart)London Has Fallen 46.30%Morgan Freeman 22.69%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)