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, 7) = 7
$outbound = max(1, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 10 = 70
Base_Influence (IV) = $inbound / $outbound = 7 / 10 = 0.7
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 70 *
( 2 [Arthur Seyss-Inquart] *
2 [Fritz Sauckel] *
6 [Alfred Jodl] *
1 [Black and white photographs of Nuremberg] *
1 [Population of nuremberg] *
1 [Sepia photographs of Nuremberg] *
1 [Gallery pages of Nuremberg] *
1 [Videos from Nuremberg] *
1 [Template:Nuremberg] *
1 [Unidentified locations in Nürnberg]
)
= 1.7K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.7 *
( 2 [Arthur Seyss-Inquart] *
2 [Fritz Sauckel] *
1.5 [Alfred Jodl] *
1 [Black and white photographs of Nuremberg] *
1 [Population of nuremberg] *
1 [Sepia photographs of Nuremberg] *
1 [Gallery pages of Nuremberg] *
1 [Videos from Nuremberg] *
1 [Template:Nuremberg] *
1 [Unidentified locations in Nürnberg]
)
= 4.2
Outbound
7
Tags on post
Inbound
10
Posts tagging this
Connections
10
Total nodes
Base Node Strength
70
Base Node Influence
0.7
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)