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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 72 [des traynor] *
72 [ray burke] *
144 [Denis Desmond] *
81 [Michael Lowry] *
361 [Denis o'Brien] *
81 [Moriarty Tribunal] *
9 [Michael Healy-Rae] *
196 [charles haughey] *
49 [ben dunne] *
4 [esat digifone] *
4 [Garuda Ltd] *
1 [dunnes stores] *
49 [Ansbacher (Cayman) Ltd] *
196 [Bertie Aherne] *
4 [Anesia Etablissement] *
4 [Celtic Mist] *
100 [Glackin report] *
4 [padraig flynn] *
4 [John O'Donoghue] *
36 [tullet & Tokyo]
)
= 1.95 x 10^29
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.13 [des traynor] *
1.13 [ray burke] *
1 [Denis Desmond] *
1 [Michael Lowry] *
1 [Denis o'Brien] *
1 [Moriarty Tribunal] *
1 [Michael Healy-Rae] *
1 [charles haughey] *
1 [ben dunne] *
1 [esat digifone] *
1 [Garuda Ltd] *
1 [dunnes stores] *
1 [Ansbacher (Cayman) Ltd] *
1 [Bertie Aherne] *
1 [Anesia Etablissement] *
1 [Celtic Mist] *
1 [Glackin report] *
1 [padraig flynn] *
1 [John O'Donoghue] *
1 [tullet & Tokyo]
)
= 1.27
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
20
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.61%
(1.95 × 1029 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)