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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 64 [Gwyneth Paltrow] *
81 [Cate Blanchett] *
36 [Matt Damon] *
49 [Celia Weston] *
256 [The Talented Mr. Ripley] *
9 [Alessandro Fabrizi] *
16 [Anna Longhi] *
1 [Fiorello] *
16 [Ivano Marescotti] *
25 [Jack Davenport] *
1 [Jack Willis] *
25 [James Rebhorn] *
49 [Jude Law] *
4 [Lisa Eichhorn] *
36 [Philip Baker Hall] *
256 [Philip Seymour Hoffman] *
4 [Pennyworth] *
1 [Martial Law] *
9 [Jessica De Gouw]
)
= 1.97 x 10^24
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Gwyneth Paltrow] *
1 [Cate Blanchett] *
1 [Matt Damon] *
1 [Celia Weston] *
1 [The Talented Mr. Ripley] *
1 [Alessandro Fabrizi] *
1 [Anna Longhi] *
1 [Fiorello] *
1 [Ivano Marescotti] *
1 [Jack Davenport] *
1 [Jack Willis] *
1 [James Rebhorn] *
1 [Jude Law] *
1 [Lisa Eichhorn] *
1 [Philip Baker Hall] *
1 [Philip Seymour Hoffman] *
1 [Pennyworth] *
1 [Martial Law] *
1 [Jessica De Gouw]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
19
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.95%
(1.97 × 1024 overall)
Dominant nodes (excluded from chart)The Talented Mr. Ripley 27.03%Philip Seymour Hoffman 27.03%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)