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 *
( 6 [Robert Jezek] *
12 [Bruno Ganz] *
12 [Riley Keough] *
49 [Uma Thurman] *
25 [Yoo Ji-tae] *
36 [Siobhan Fallon Hogan] *
361 [The House That Jack Built] *
1 [Carina Skenhede] *
1 [Cohen Day] *
4 [Ed Speleers] *
1 [Emil Tholstrup] *
1 [Jack McKenzie] *
1 [Jeremy Davies] *
9 [Marijana Jankovic] *
1 [Mathias Hjelm] *
25 [Matt Dillon] *
25 [Osy Ikhile] *
1 [Rocco Day] *
25 [Sofie Gråbøl]
)
= 7.74 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Robert Jezek] *
1.33 [Bruno Ganz] *
1.33 [Riley Keough] *
1 [Uma Thurman] *
1 [Yoo Ji-tae] *
1 [Siobhan Fallon Hogan] *
1 [The House That Jack Built] *
1 [Carina Skenhede] *
1 [Cohen Day] *
1 [Ed Speleers] *
1 [Emil Tholstrup] *
1 [Jack McKenzie] *
1 [Jeremy Davies] *
1 [Marijana Jankovic] *
1 [Mathias Hjelm] *
1 [Matt Dillon] *
1 [Osy Ikhile] *
1 [Rocco Day] *
1 [Sofie Gråbøl]
)
= 2.67
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)
0.17%
(7.74 × 1015 overall)
Dominant nodes (excluded from chart)The House That Jack Built 60.47%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)