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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 36 [Cillian Murphy] *
64 [Leonardo DiCaprio] *
36 [Pete Postlethwaite] *
16 [Ken Watanabe] *
196 [Michael Caine] *
361 [Inception] *
9 [Dileep Rao] *
16 [Elliot Page] *
1 [Johnathan Geare] *
36 [Joseph Gordon-Levitt] *
9 [Lukas Haas] *
1 [Magnus Nolan] *
9 [Marion Cotillard] *
1 [Tai-Li Lee] *
1 [Taylor Geare] *
9 [Tohoru Masamune] *
16 [Tom Berenger] *
64 [Tom Hardy] *
25 [Simon Rhee] *
1 [Dream House] *
1 [No Escape]
)
= 8.18 x 10^22
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Cillian Murphy] *
1 [Leonardo DiCaprio] *
1 [Pete Postlethwaite] *
1 [Ken Watanabe] *
1 [Michael Caine] *
1 [Inception] *
1 [Dileep Rao] *
1 [Elliot Page] *
1 [Johnathan Geare] *
1 [Joseph Gordon-Levitt] *
1 [Lukas Haas] *
1 [Magnus Nolan] *
1 [Marion Cotillard] *
1 [Tai-Li Lee] *
1 [Taylor Geare] *
1 [Tohoru Masamune] *
1 [Tom Berenger] *
1 [Tom Hardy] *
1 [Simon Rhee] *
1 [Dream House] *
1 [No Escape]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
21
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.98%
(8.18 × 1022 overall)
Dominant nodes (excluded from chart)Inception 39.37%Michael Caine 21.37%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)