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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 25 [Andreas von Lipinski] *
1 [Björn Grüne] *
1 [Frank J. Noras] *
1 [Karsten Drexler] *
1 [Ralph Rösch] *
1 [Hadean] *
1 [Veritates] *
4 [WarWolf] *
1 [Day Dream]
)
= 2.5K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Andreas von Lipinski] *
1 [Björn Grüne] *
1 [Frank J. Noras] *
1 [Karsten Drexler] *
1 [Ralph Rösch] *
1 [Hadean] *
1 [Veritates] *
1 [WarWolf] *
1 [Day Dream]
)
= 1
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
9
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Andreas von Lipinski 40.98%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 14, 5:27 PM
Bitterfeld-Wolfen, Anhalt-Bitterfeld, Germany
23
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