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 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 1 [norman sykes] *
1 [martin smith] *
1 [bobby dyer] *
4 [Sykes Mervyn] *
1 [Dino (musician)] *
1 [denis stewart] *
841 [Rumble Band]
)
= 121.1K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [norman sykes] *
1 [martin smith] *
1 [bobby dyer] *
1 [Sykes Mervyn] *
1 [Dino (musician)] *
1 [denis stewart] *
1 [Rumble Band]
)
= 1
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
7
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Rumble Band 94.92%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 26, 4:07 PM
Belfast, County Antrim, United Kingdom
88
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