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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 9 [Brendan McConnon] *
9 [Raphael Kierans] *
100 [Paddy Kierans] *
25 [Louth Brass Bands] *
100 [Drogheda Brass Band] *
9 [Noel (Sid) Kierans] *
1 [Tony McCormack] *
1 [Dermot Kierans] *
1 [Danny Kierans] *
1 [Sean Kierans]
)
= 182.25M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Brendan McConnon] *
1 [Raphael Kierans] *
1 [Paddy Kierans] *
1 [Louth Brass Bands] *
1 [Drogheda Brass Band] *
1 [Noel (Sid) Kierans] *
1 [Tony McCormack] *
1 [Dermot Kierans] *
1 [Danny Kierans] *
1 [Sean Kierans]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
10
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Paddy Kierans 38.91%Drogheda Brass Band 38.91%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)