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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 25 [Trevor Hutchinson] *
25 [Steve Cooney] *
196 [Lúnasa] *
1 [SEAN SMYTH] *
1 [Paul Meehan] *
1 [Patrick Doocey] *
64 [Michael McGoldrick] *
9 [Kevin Crawford] *
4 [John McSherry] *
4 [Ed Boyd] *
1 [Donogh Hennessy] *
1 [Cillian Vallely] *
1 [Colin Farrell (3)] *
1 [Paul Meehan (2)] *
4 [Session A9] *
25 [Kris Drever]
)
= 451.58B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Trevor Hutchinson] *
1 [Steve Cooney] *
1 [Lúnasa] *
1 [SEAN SMYTH] *
1 [Paul Meehan] *
1 [Patrick Doocey] *
1 [Michael McGoldrick] *
1 [Kevin Crawford] *
1 [John McSherry] *
1 [Ed Boyd] *
1 [Donogh Hennessy] *
1 [Cillian Vallely] *
1 [Colin Farrell (3)] *
1 [Paul Meehan (2)] *
1 [Session A9] *
1 [Kris Drever]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
16
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Lúnasa 53.41%Michael McGoldrick 17.44%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
