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, 8) = 8
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 8 = 64
Base_Influence (IV) = $inbound / $outbound = 8 / 8 = 1
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 64 *
( 6 [Garryhinch Woods] *
132 [Abbeyleix] *
64 [County Laois] *
1 [Laois Heritage Trail] *
1 [Portarlington Catholic Club] *
1 [Portarlington Church] *
1 [Portarlington railway station] *
1 [St Michael's Church, Portarlington] *
1 [St Paul's Church, Portarlington] *
1 [B.A.R.E in the Woods] *
9 [Knocknamoe] *
4 [Ballinakill] *
1 [Eastern and Midland Region] *
1 [Milk churn stands in County Laois] *
1 [Sculptures in County Laois] *
1 [Signs in County Laois]
)
= 116.79M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Garryhinch Woods] *
1.09 [Abbeyleix] *
1 [County Laois] *
1 [Laois Heritage Trail] *
1 [Portarlington Catholic Club] *
1 [Portarlington Church] *
1 [Portarlington railway station] *
1 [St Michael's Church, Portarlington] *
1 [St Paul's Church, Portarlington] *
1 [B.A.R.E in the Woods] *
1 [Knocknamoe] *
1 [Ballinakill] *
1 [Eastern and Midland Region] *
1 [Milk churn stands in County Laois] *
1 [Sculptures in County Laois] *
1 [Signs in County Laois]
)
= 1.64
Outbound
8
Tags on post
Inbound
8
Posts tagging this
Connections
16
Total nodes
Base Node Strength
64
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Abbeyleix 45.52%County Laois 22.07%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
