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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 6 [Rongguang Yu] *
25 [Jackie Chan] *
121 [Owen Wilson] *
9 [Lucy Liu] *
36 [Walton Goggins] *
49 [Xander Berkeley] *
9 [Rafael Báez] *
324 [Shanghai Noon] *
1 [Adrien Dorval] *
1 [Cui Ya Hui] *
1 [Eric Chen] *
25 [Henry O] *
9 [Jason Connery] *
16 [Kate Luyben] *
1 [Roger Yuan] *
1 [Russell Badger] *
4 [Simon Baker] *
4 [Stacy Grant]
)
= 4.84 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Rongguang Yu] *
1 [Jackie Chan] *
1 [Owen Wilson] *
1 [Lucy Liu] *
1 [Walton Goggins] *
1 [Xander Berkeley] *
1 [Rafael Báez] *
1 [Shanghai Noon] *
1 [Adrien Dorval] *
1 [Cui Ya Hui] *
1 [Eric Chen] *
1 [Henry O] *
1 [Jason Connery] *
1 [Kate Luyben] *
1 [Roger Yuan] *
1 [Russell Badger] *
1 [Simon Baker] *
1 [Stacy Grant]
)
= 1.5
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.16%
(4.84 × 1016 overall)
Dominant nodes (excluded from chart)Shanghai Noon 50.39%Owen Wilson 18.82%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)