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, 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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 100 [The Fabulous Bonker Boys] *
1 [Davey Henshaw] *
1 [Eric Nugent] *
9 [Jason McDonnell] *
1 [Keith Harrington] *
1 [Kevin Geoghegan] *
4 [Leon benson] *
81 [Fergie Milton] *
4 [Niamh Brette] *
1 [Padraic Conroy]
)
= 1.17M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The Fabulous Bonker Boys] *
1 [Davey Henshaw] *
1 [Eric Nugent] *
1 [Jason McDonnell] *
1 [Keith Harrington] *
1 [Kevin Geoghegan] *
1 [Leon benson] *
1 [Fergie Milton] *
1 [Niamh Brette] *
1 [Padraic Conroy]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
10
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Fabulous Bonker Boys 49.02%Fergie Milton 39.71%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jul 22, 4:10 PM
County Westmeath, Ireland
79
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