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 *
( 36 [Matthew McConaughey] *
9 [Plastic Bertrand] *
64 [Leonardo DiCaprio] *
1 [Joanna Lumley] *
25 [Shea Whigham] *
16 [Rob Reiner] *
400 [The Wolf of Wall Street] *
16 [Brian Sacca] *
9 [Christine Ebersole] *
25 [Cristin Milioti] *
9 [Jean Dujardin] *
121 [Jon Bernthal] *
81 [Jon Favreau] *
100 [Jonah Hill] *
9 [Katarina Cas] *
16 [Kenneth Choi] *
9 [Kyle Chandler] *
49 [Margot Robbie] *
9 [P.J. Byrne] *
16 [J.C. MacKenzie]
)
= 9.63 x 10^26
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Matthew McConaughey] *
1 [Plastic Bertrand] *
1 [Leonardo DiCaprio] *
1 [Joanna Lumley] *
1 [Shea Whigham] *
1 [Rob Reiner] *
1 [The Wolf of Wall Street] *
1 [Brian Sacca] *
1 [Christine Ebersole] *
1 [Cristin Milioti] *
1 [Jean Dujardin] *
1 [Jon Bernthal] *
1 [Jon Favreau] *
1 [Jonah Hill] *
1 [Katarina Cas] *
1 [Kenneth Choi] *
1 [Kyle Chandler] *
1 [Margot Robbie] *
1 [P.J. Byrne] *
1 [J.C. MacKenzie]
)
= 1
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)
0.10%
(9.63 × 1026 overall)
Dominant nodes (excluded from chart)The Wolf of Wall Street 39.18%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)