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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, 11) = 11
$outbound = max(1, 11) = 11
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 11 * 11 = 121
Base_Influence (IV) = $inbound / $outbound = 11 / 11 = 1
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 121 *
( 1 [Paddy O'Connor] *
1 [Sean O'Brien] *
25 [Jim Bacon Orchestra] *
4 [jim bacon] *
1 [Charlie Parkes] *
1 [Dinny Boyle] *
1 [Eddie Brown] *
1 [Herbie Phibbs] *
1 [Jack Thunder] *
1 [Joe Roche] *
1 [Owen Scott] *
1 [Pat Crowley]
)
= 12.1K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Paddy O'Connor] *
1 [Sean O'Brien] *
1 [Jim Bacon Orchestra] *
1 [jim bacon] *
1 [Charlie Parkes] *
1 [Dinny Boyle] *
1 [Eddie Brown] *
1 [Herbie Phibbs] *
1 [Jack Thunder] *
1 [Joe Roche] *
1 [Owen Scott] *
1 [Pat Crowley]
)
= 1
Outbound
11
Tags on post
Inbound
11
Posts tagging this
Connections
12
Total nodes
Base Node Strength
121
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Jim Bacon Orchestra 15.63%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Oct 9, 12:02 PM
Newry, County Down, United Kingdom
32
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