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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 420 [Marines Showband] *
36 [John Trotter] *
9 [Bill Mellon] *
4 [Frank McLaughlin] *
324 [Claxton Showband] *
9 [Fendermen] *
100 [The Plattermen] *
1 [Checkers Showband] *
9 [Woodchoppers Showband] *
132 [Tahiti Showband]
)
= 1.70 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.05 [Marines Showband] *
1 [John Trotter] *
1 [Bill Mellon] *
1 [Frank McLaughlin] *
1 [Claxton Showband] *
1 [Fendermen] *
1 [The Plattermen] *
1 [Checkers Showband] *
1 [Woodchoppers Showband] *
0.9167 [Tahiti Showband]
)
= 0.9625
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
10
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.85%
(1.70 × 1015 overall)
Dominant nodes (excluded from chart)Marines Showband 39.89%Claxton Showband 30.77%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Oct 29, 2:40 AM
Derry/Londonderry, County Londonderry, United Kingdom
72
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