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, 6) = 6
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 81 [Katmandu] *
289 [Kings Showband] *
36 [Dirtywork] *
36 [Tommy Lundy] *
441 [Tony Kenny Band] *
49 [The Crack] *
4 [Pat Braiden] *
4 [Ronnie Reynolds] *
1 [jimmy dunny] *
1 [Frankie McEnhill] *
1 [Peter Mulreid]
)
= 377.61T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Katmandu] *
1 [Kings Showband] *
1 [Dirtywork] *
1 [Tommy Lundy] *
1 [Tony Kenny Band] *
1 [The Crack] *
1 [Pat Braiden] *
1 [Ronnie Reynolds] *
1 [jimmy dunny] *
1 [Frankie McEnhill] *
1 [Peter Mulreid]
)
= 1
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
11
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Tony Kenny Band 45.05%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jul 3, 11:18 AM
Dublin, County Kildare, Ireland
45
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