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 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 3 [Hare Island] *
80 [McCormacks return to Athlone] *
25 [John P.Foy] *
1 [Ethel Kilkelly] *
1 [John McCormack] *
1 [Katie McCay] *
1 [Kitty Kilkelly] *
1 [Michael Curley] *
1 [Sean MacEoin] *
30 [Henry Foy] *
80 [Michael Kilkelly] *
20 [Mary Foy]
)
= 1.15B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 3 [Hare Island] *
1.25 [McCormacks return to Athlone] *
1 [John P.Foy] *
1 [Ethel Kilkelly] *
1 [John McCormack] *
1 [Katie McCay] *
1 [Kitty Kilkelly] *
1 [Michael Curley] *
1 [Sean MacEoin] *
0.8333 [Henry Foy] *
0.8 [Michael Kilkelly] *
0.8 [Mary Foy]
)
= 2
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
12
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Michael Kilkelly 32.26%McCormacks return to Athlone 32.26%Henry Foy 12.10%John P.Foy 10.08%Mary Foy 8.06%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)