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 *
( 36 [Cillian Murphy] *
64 [Leonardo DiCaprio] *
36 [Pete Postlethwaite] *
16 [Ken Watanabe] *
196 [Michael Caine] *
361 [Inception] *
9 [Claire Geare] *
9 [Dileep Rao] *
16 [Elliot Page] *
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]
)
= 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 [Claire Geare] *
1 [Dileep Rao] *
1 [Elliot Page] *
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
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)
0.11%
(8.18 × 1022 overall)
Dominant nodes (excluded from chart)Inception 39.45%Michael Caine 21.42%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)