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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 42 [Ray Liotta] *
4 [Mary Kay Place] *
16 [Ari Graynor] *
289 [Steve Buscemi] *
16 [Jean Smart] *
16 [Christa B. Allen] *
36 [Zach Galifianakis] *
4 [Rooney Mara] *
361 [Youth in Revolt] *
4 [Michael Cera] *
4 [Fred Willard] *
9 [Justin Long] *
1 [Adhir Kalyan] *
4 [Erik Knudsen] *
1 [Jade Fusco] *
1 [Lise Lacasse] *
1 [Mike Collins] *
1 [Jonathan B. Wright] *
25 [M. Emmet Walsh]
)
= 1.49 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.17 [Ray Liotta] *
1 [Mary Kay Place] *
1 [Ari Graynor] *
1 [Steve Buscemi] *
1 [Jean Smart] *
1 [Christa B. Allen] *
1 [Zach Galifianakis] *
1 [Rooney Mara] *
1 [Youth in Revolt] *
1 [Michael Cera] *
1 [Fred Willard] *
1 [Justin Long] *
1 [Adhir Kalyan] *
1 [Erik Knudsen] *
1 [Jade Fusco] *
1 [Lise Lacasse] *
1 [Mike Collins] *
1 [Jonathan B. Wright] *
1 [M. Emmet Walsh]
)
= 1.17
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.12%
(1.49 × 1017 overall)
Dominant nodes (excluded from chart)Youth in Revolt 43.18%Steve Buscemi 34.57%Ray Liotta 5.02%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)