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, 10) = 10
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 8 = 80
Base_Influence (IV) = $inbound / $outbound = 10 / 8 = 1.25
// 3. Exponential Network Values (accumulating 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 80 *
( 12 [St Peter and Paul’s Church Choir] *
20 [Count John McCormack] *
42 [Patrick Keating] *
4 [bastion gallery] *
4 [Athlone Independent Brass Band] *
9 [Major John Talbot D'Arcy] *
25 [Athlone brass and reed band] *
25 [Mary Foy] *
9 [Hare Island] *
9 [T. P. O'Connor] *
1 [Sean MacEoin] *
576 [Metropolitan Opera] *
1 [Vincent O’Brien] *
1 [Count John McCormackm Sean MacEoin] *
1 [Ethel Kilkelly] *
1 [John McCormack] *
1 [Katie McCay] *
1 [Kitty Kilkelly] *
4 [Mary Kilkelly] *
1 [Michael Curley] *
90 [Michael Kilkelly] *
30 [Enrico Caruso]
)
= 3.66 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.25 *
( 1.33 [St Peter and Paul’s Church Choir] *
1.25 [Count John McCormack] *
1.17 [Patrick Keating] *
1 [bastion gallery] *
1 [Athlone Independent Brass Band] *
1 [Major John Talbot D'Arcy] *
1 [Athlone brass and reed band] *
1 [Mary Foy] *
1 [Hare Island] *
1 [T. P. O'Connor] *
1 [Sean MacEoin] *
1 [Metropolitan Opera] *
1 [Vincent O’Brien] *
1 [Count John McCormackm Sean MacEoin] *
1 [Ethel Kilkelly] *
1 [John McCormack] *
1 [Katie McCay] *
1 [Kitty Kilkelly] *
1 [Mary Kilkelly] *
1 [Michael Curley] *
0.9 [Michael Kilkelly] *
0.8333 [Enrico Caruso]
)
= 1.82
Outbound
10
Tags on post
Inbound
8
Posts tagging this
Connections
22
Total nodes
Base Node Strength
80
Base Node Influence
1.25
Strength Share (vs Direct Neighbours)
8.45%
(3.66 × 1019 overall)
Dominant nodes (excluded from chart)Metropolitan Opera 60.82%Michael Kilkelly 9.50%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
download (2).webp
BROKEN LINK
