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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 49 [Red Square] *
1 [Luka Bloom] *
1 [Barry Moore] *
16 [george sweeney] *
1 [Niall Conheady] *
1 [Joe Lahart] *
9 [Dave Bell] *
4 [THE SHED] *
1 [tommy coombes] *
25 [Pat Fitzpatrick] *
25 [Trevor Hutchinson] *
121 [Paddy Dunning] *
121 [Swim] *
4 [Joe Reilly] *
9 [Dave Dawson] *
9 [John McCrea] *
36 [Wayne Sheehy] *
4 [Ger Kiely] *
4 [Patrick Donne] *
1 [Conor Barry] *
4 [Mancini]
)
= 3.08 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Red Square] *
1 [Luka Bloom] *
1 [Barry Moore] *
1 [george sweeney] *
1 [Niall Conheady] *
1 [Joe Lahart] *
1 [Dave Bell] *
1 [THE SHED] *
1 [tommy coombes] *
1 [Pat Fitzpatrick] *
1 [Trevor Hutchinson] *
1 [Paddy Dunning] *
1 [Swim] *
1 [Joe Reilly] *
1 [Dave Dawson] *
1 [John McCrea] *
1 [Wayne Sheehy] *
1 [Ger Kiely] *
1 [Patrick Donne] *
1 [Conor Barry] *
1 [Mancini]
)
= 1
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
21
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
3.46%
(3.08 × 1018 overall)
Dominant nodes (excluded from chart)Paddy Dunning 26.19%Swim 26.19%Red Square 10.61%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
