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, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 1 = 2
Base_Influence (IV) = $inbound / $outbound = 2 / 1 = 2
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 2 *
( 90 [Mark Costigan] *
1 [MARK BYRNE] *
144 [Brian Molloy] *
361 [Denis o'Brien] *
324 [Today FM] *
4 [paul mccloone] *
169 [Robbie Wootton] *
4 [Kate Brennan-Harding] *
9 [Cathal Funge] *
1 [Alison Curtis] *
1 [Anne Marie Kelly] *
1 [Tony Fenton] *
9 [Ray D'Arcy] *
1 [Ed Smith] *
4 [Claire Beck] *
81 [Bauer media audio] *
9 [Paul McLoone] *
16 [Pamela Blake] *
1 [Red FM]
)
= 3.10 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 1.11 [Mark Costigan] *
1 [MARK BYRNE] *
1 [Brian Molloy] *
1 [Denis o'Brien] *
1 [Today FM] *
1 [paul mccloone] *
1 [Robbie Wootton] *
1 [Kate Brennan-Harding] *
1 [Cathal Funge] *
1 [Alison Curtis] *
1 [Anne Marie Kelly] *
1 [Tony Fenton] *
1 [Ray D'Arcy] *
1 [Ed Smith] *
1 [Claire Beck] *
1 [Bauer media audio] *
1 [Paul McLoone] *
1 [Pamela Blake] *
1 [Red FM]
)
= 2.22
Outbound
2
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
2
Base Node Influence
2
Strength Share (vs Direct Neighbours)
0.16%
(3.10 × 1019 overall)
Dominant nodes (excluded from chart)Denis o'Brien 29.30%Today FM 26.30%Robbie Wootton 13.72%Brian Molloy 11.69%Mark Costigan 7.31%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
