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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 324 [Stockton’s Wing] *
4 [Brian Calnan] *
4 [Kieran Hanrahan] *
25 [Steve Cooney] *
196 [Fran Breen] *
25 [Myles Drennan] *
1 [Tara Breen] *
1 [Tommy Hayes] *
1 [Tony Callanan] *
1 [Robbie Casserley] *
4 [Peter Keenan] *
1 [Paul Roche] *
4 [Maurice Lennon] *
9 [John Kearns] *
1 [Eamon McElholm] *
1 [David McNevin] *
1 [Paul Roche (2)] *
4 [Dave Mc Nevin]
)
= 365.78B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Stockton’s Wing] *
1 [Brian Calnan] *
1 [Kieran Hanrahan] *
1 [Steve Cooney] *
1 [Fran Breen] *
1 [Myles Drennan] *
1 [Tara Breen] *
1 [Tommy Hayes] *
1 [Tony Callanan] *
1 [Robbie Casserley] *
1 [Peter Keenan] *
1 [Paul Roche] *
1 [Maurice Lennon] *
1 [John Kearns] *
1 [Eamon McElholm] *
1 [David McNevin] *
1 [Paul Roche (2)] *
1 [Dave Mc Nevin]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Stockton’s Wing 53.29%Fran Breen 32.24%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
