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 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 196 [Ajattara] *
4 [Janne Immonen] *
49 [Tomi Koivusaari] *
81 [Tommi Lillman] *
49 [Juha Harju] *
64 [Mynni Luukkainen] *
16 [Tonmi Lillman] *
64 [Atte Sarkima] *
36 [Jan Rechberger] *
64 [Pasi Koskinen] *
36 [Pekka Kasari] *
100 [Rainer Tuomikanto] *
1 [Toni Laroma] *
1 [Vesa Wahlroos] *
256 [Jani Stefanovic] *
81 [Am I Blood] *
4 [Tomi Luoma] *
9 [Mika Tanttu] *
4 [Sale Suomalainen] *
1 [Janne Kerminen] *
1 [Kari Reini] *
1 [Pekka Kulmala] *
4 [Toni Grönroos]
)
= 3.96 x 10^27
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Ajattara] *
1 [Janne Immonen] *
1 [Tomi Koivusaari] *
1 [Tommi Lillman] *
1 [Juha Harju] *
1 [Mynni Luukkainen] *
1 [Tonmi Lillman] *
1 [Atte Sarkima] *
1 [Jan Rechberger] *
1 [Pasi Koskinen] *
1 [Pekka Kasari] *
1 [Rainer Tuomikanto] *
1 [Toni Laroma] *
1 [Vesa Wahlroos] *
1 [Jani Stefanovic] *
1 [Am I Blood] *
1 [Tomi Luoma] *
1 [Mika Tanttu] *
1 [Sale Suomalainen] *
1 [Janne Kerminen] *
1 [Kari Reini] *
1 [Pekka Kulmala] *
1 [Toni Grönroos]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
23
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.36%
(3.96 × 1027 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)