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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [James MacDonald] *
324 [The Kids Are All Right] *
16 [Betty Wright] *
100 [Julianne Moore] *
49 [Annette Bening] *
225 [Mark Ruffalo] *
36 [Josh Hutcherson] *
1 [Eddie Hassell] *
1 [Eric Eisner] *
9 [Joaquín Garrido] *
1 [Kunal Sharma] *
1 [Lisa Eisner] *
1 [Margo Victor] *
4 [Mia Wasikowska] *
1 [Rebecca Lawrence Levy] *
1 [Sasha Spielberg] *
4 [Stuart Blumberg] *
4 [Yaya DaCosta]
)
= 1.42 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [James MacDonald] *
1 [The Kids Are All Right] *
1 [Betty Wright] *
1 [Julianne Moore] *
1 [Annette Bening] *
1 [Mark Ruffalo] *
1 [Josh Hutcherson] *
1 [Eddie Hassell] *
1 [Eric Eisner] *
1 [Joaquín Garrido] *
1 [Kunal Sharma] *
1 [Lisa Eisner] *
1 [Margo Victor] *
1 [Mia Wasikowska] *
1 [Rebecca Lawrence Levy] *
1 [Sasha Spielberg] *
1 [Stuart Blumberg] *
1 [Yaya DaCosta]
)
= 1.33
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.13%
(1.42 × 1015 overall)
Dominant nodes (excluded from chart)The Kids Are All Right 40.96%Mark Ruffalo 28.45%Julianne Moore 12.64%Annette Bening 6.19%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)