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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 42 [Liam Lawlor] *
81 [Century Radio] *
196 [charles haughey] *
196 [Bertie Aherne] *
81 [ray burke] *
9 [george redmond] *
16 [frank dunlop] *
1 [Celia Larkin] *
9 [Eamon Dunphy] *
1 [Jackson Way Properties Ltd] *
1 [Joseph Murphy Structural Engineers] *
4 [Tom Gilmartin] *
4 [owen o'callaghan] *
1 [Gráinne Carruth] *
1 [Savills Ireland] *
4 [Mick Bailey] *
4 [Thomas Bailey] *
1 [Cushman & Wakefield Ireland] *
169 [jeffrey epstein] *
16 [bailey brothers]
)
= 2.37 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.17 [Liam Lawlor] *
1 [Century Radio] *
1 [charles haughey] *
1 [Bertie Aherne] *
1 [ray burke] *
1 [george redmond] *
1 [frank dunlop] *
1 [Celia Larkin] *
1 [Eamon Dunphy] *
1 [Jackson Way Properties Ltd] *
1 [Joseph Murphy Structural Engineers] *
1 [Tom Gilmartin] *
1 [owen o'callaghan] *
1 [Gráinne Carruth] *
1 [Savills Ireland] *
1 [Mick Bailey] *
1 [Thomas Bailey] *
1 [Cushman & Wakefield Ireland] *
1 [jeffrey epstein] *
1 [bailey brothers]
)
= 1.17
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
20
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
2.90%
(2.37 × 1020 overall)
Dominant nodes (excluded from chart)charles haughey 22.74%Bertie Aherne 22.74%jeffrey epstein 19.61%Century Radio 9.40%ray burke 9.40%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)