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 *
( 20 [Richard Leaf] *
42 [Richard Brake] *
36 [Rhys Ifans] *
4 [Franz von Liszt] *
361 [Hannibal Rising] *
25 [Goran Kostic] *
4 [Ingeborga Dapkunaite] *
4 [Kevin McKidd] *
4 [Joerg Stadler] *
1 [Gaspard Ulliel] *
1 [Gong Li] *
1 [Ivan Marevich] *
1 [Martin Hub] *
1 [Michelle Wade] *
1 [Ota Filip] *
1 [Radek Bruna] *
4 [Timothy Walker] *
4 [Stephen Walters] *
1 [Helena-Lia Tachovská]
)
= 1.12T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Richard Leaf] *
1.17 [Richard Brake] *
1 [Rhys Ifans] *
1 [Franz von Liszt] *
1 [Hannibal Rising] *
1 [Goran Kostic] *
1 [Ingeborga Dapkunaite] *
1 [Kevin McKidd] *
1 [Joerg Stadler] *
1 [Gaspard Ulliel] *
1 [Gong Li] *
1 [Ivan Marevich] *
1 [Martin Hub] *
1 [Michelle Wade] *
1 [Ota Filip] *
1 [Radek Bruna] *
1 [Timothy Walker] *
1 [Stephen Walters] *
1 [Helena-Lia Tachovská]
)
= 1.46
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)
Dominant nodes (excluded from chart)Hannibal Rising 69.83%Richard Brake 8.12%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)