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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 196 [Burning Point] *
1 [Jarkko Väisänen] *
9 [Jussi Ontero] *
36 [Nitte Valo] *
1 [Pekka Kolivuori] *
25 [Pete Ahonen] *
4 [Toni Kansanoja] *
9 [Pasi Hiltula] *
1 [Jari Kaiponen] *
4 [Jukka Jokikokko] *
1 [Luca Sturniolo] *
1 [Matti Halonen] *
1 [Tuomas Jaatinen] *
1 [Jukka Kyrö] *
49 [Ghost Machinery] *
16 [Taage Laiho] *
81 [Janne Tolsa] *
1 [Mikko Myllynen] *
1 [Mikko Vaajoki]
)
= 58.07T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Burning Point] *
1 [Jarkko Väisänen] *
1 [Jussi Ontero] *
1 [Nitte Valo] *
1 [Pekka Kolivuori] *
1 [Pete Ahonen] *
1 [Toni Kansanoja] *
1 [Pasi Hiltula] *
1 [Jari Kaiponen] *
1 [Jukka Jokikokko] *
1 [Luca Sturniolo] *
1 [Matti Halonen] *
1 [Tuomas Jaatinen] *
1 [Jukka Kyrö] *
1 [Ghost Machinery] *
1 [Taage Laiho] *
1 [Janne Tolsa] *
1 [Mikko Myllynen] *
1 [Mikko Vaajoki]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
19
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Burning Point 44.34%Janne Tolsa 18.33%Ghost Machinery 11.09%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)