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 *
( 121 [Liam Neeson] *
64 [Jonathan Banks] *
9 [Colin McFarlane] *
256 [The Commuter] *
25 [Adam Nagaitis] *
4 [Andy Nyman] *
9 [Clara Lago] *
16 [Dean-Charles Chapman] *
4 [Elizabeth McGovern] *
9 [Ella-Rae Smith] *
4 [Kobna Holdbrook-Smith] *
9 [Nila Aalia] *
4 [Roland Møller] *
16 [Sam Neill] *
1 [Shazad Latif] *
9 [Vera Farmiga] *
4 [Calvary] *
1 [Trespass Against Us] *
42 [Brendan Gleeson]
)
= 2.90 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Liam Neeson] *
1 [Jonathan Banks] *
1 [Colin McFarlane] *
1 [The Commuter] *
1 [Adam Nagaitis] *
1 [Andy Nyman] *
1 [Clara Lago] *
1 [Dean-Charles Chapman] *
1 [Elizabeth McGovern] *
1 [Ella-Rae Smith] *
1 [Kobna Holdbrook-Smith] *
1 [Nila Aalia] *
1 [Roland Møller] *
1 [Sam Neill] *
1 [Shazad Latif] *
1 [Vera Farmiga] *
1 [Calvary] *
1 [Trespass Against Us] *
0.8571 [Brendan Gleeson]
)
= 0.8571
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)
1.46%
(2.90 × 1020 overall)
Dominant nodes (excluded from chart)The Commuter 41.56%Liam Neeson 19.64%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)