Analyzing Network Connections...
Network Profile
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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 16 [Tears of a prophet] *
1 [Johnny Joyce] *
4 [Shanie McLoughlin] *
1 [Dermot Murry] *
100 [The Fabulous Bonker Boys] *
36 [Bad Penny] *
81 [Fergie Milton] *
1 [Ali Milton] *
1 [Dermot macentagart] *
1 [Jason MacDonnell] *
1 [Simon Mac Donnell] *
1 [Davey Henshaw] *
1 [Eric Nugent] *
1 [Keith Harrington] *
1 [Kevin Geoghegan] *
4 [Leon benson] *
1 [Mark Henshaw] *
4 [Niamh Brette] *
1 [Padraic Conroy]
)
= 2.69B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Tears of a prophet] *
1 [Johnny Joyce] *
1 [Shanie McLoughlin] *
1 [Dermot Murry] *
1 [The Fabulous Bonker Boys] *
1 [Bad Penny] *
1 [Fergie Milton] *
1 [Ali Milton] *
1 [Dermot macentagart] *
1 [Jason MacDonnell] *
1 [Simon Mac Donnell] *
1 [Davey Henshaw] *
1 [Eric Nugent] *
1 [Keith Harrington] *
1 [Kevin Geoghegan] *
1 [Leon benson] *
1 [Mark Henshaw] *
1 [Niamh Brette] *
1 [Padraic Conroy]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
19
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Fabulous Bonker Boys 37.59%Fergie Milton 30.45%Bad Penny 13.53%Tears of a prophet 6.02%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Oct 13, 9:09 PM
County Westmeath, Ireland
57
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