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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 25 [Hollywood Stars] *
16 [Terry Rae] *
1 [Mark Anthony] *
1 [Michael Rummans] *
9 [Ruben De Fuentes] *
4 [Patsy Tracey] *
1 [Alan Shields] *
4 [Eddie O'Neill] *
1 [Mick Manaway] *
1 [Liam Kielty] *
16 [Billy Divin] *
64 [Kansas City] *
225 [Pete Johnson]
)
= 53.08B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Hollywood Stars] *
1 [Terry Rae] *
1 [Mark Anthony] *
1 [Michael Rummans] *
1 [Ruben De Fuentes] *
1 [Patsy Tracey] *
1 [Alan Shields] *
1 [Eddie O'Neill] *
1 [Mick Manaway] *
1 [Liam Kielty] *
1 [Billy Divin] *
1 [Kansas City] *
1 [Pete Johnson]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
13
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Pete Johnson 60.48%Kansas City 17.20%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)