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 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 132 [Abbeyleix] *
1 [Knock na moe] *
64 [County Laois] *
9 [CharlieMcBrien] *
64 [Ohio Showband] *
4 [Carrickmore] *
4 [Ballinakill] *
64 [Portarlington] *
1 [Eastern and Midland Region] *
1 [Milk churn stands in County Laois] *
1 [Sculptures in County Laois] *
1 [Signs in County Laois]
)
= 44.85B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.09 [Abbeyleix] *
1 [Knock na moe] *
1 [County Laois] *
1 [CharlieMcBrien] *
1 [Ohio Showband] *
1 [Carrickmore] *
1 [Ballinakill] *
1 [Portarlington] *
1 [Eastern and Midland Region] *
1 [Milk churn stands in County Laois] *
1 [Sculptures in County Laois] *
1 [Signs in County Laois]
)
= 1.09
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
12
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Abbeyleix 37.18%County Laois 18.03%Ohio Showband 18.03%Portarlington 18.03%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)