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 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 25 [Workfarm] *
4 [Pat Healy] *
1 [John Naughton] *
1 [Nelius Linehan] *
4 [Paul Healy] *
16 [Tuesday Blue] *
36 [White Falls Band] *
16 [Barry Warner] *
64 [Ray Fean] *
9 [Ralf Lindheim] *
64 [Jimi Slevin] *
4 [jackie hayden] *
1 [John Noughton] *
1 [Dermot Sheehan]
)
= 4.89T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Workfarm] *
1 [Pat Healy] *
1 [John Naughton] *
1 [Nelius Linehan] *
1 [Paul Healy] *
1 [Tuesday Blue] *
1 [White Falls Band] *
1 [Barry Warner] *
1 [Ray Fean] *
1 [Ralf Lindheim] *
1 [Jimi Slevin] *
1 [jackie hayden] *
1 [John Noughton] *
1 [Dermot Sheehan]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
14
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Oct 4, 7:57 PM
Limerick, County Limerick, Ireland
52
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