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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 361 [To/Die/For] *
81 [Tommi Lillman] *
9 [Toni Paananen] *
25 [Joonas "Jope" Koto] *
1 [Jape Perätalo] *
1 [Jaska Rissasen] *
4 [Santtu Lonka] *
1 [Jussi-Chris Heikkinen] *
16 [Tonmi Lillman] *
4 [Juska Salminen] *
4 [Antti Matti Talala] *
9 [Jarkko Strandman] *
4 [Juha Pekka Sutela] *
1 [Marko Kangaskolkka] *
1 [Matti Huopainen] *
4 [Miikka Kuisma] *
1 [Mika Ahtiainen] *
1 [Samuel Schildt] *
1 [Jarno Perätalo]
)
= 970.15B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [To/Die/For] *
1 [Tommi Lillman] *
1 [Toni Paananen] *
1 [Joonas "Jope" Koto] *
1 [Jape Perätalo] *
1 [Jaska Rissasen] *
1 [Santtu Lonka] *
1 [Jussi-Chris Heikkinen] *
1 [Tonmi Lillman] *
1 [Juska Salminen] *
1 [Antti Matti Talala] *
1 [Jarkko Strandman] *
1 [Juha Pekka Sutela] *
1 [Marko Kangaskolkka] *
1 [Matti Huopainen] *
1 [Miikka Kuisma] *
1 [Mika Ahtiainen] *
1 [Samuel Schildt] *
1 [Jarno Perätalo]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)To/Die/For 68.11%Tommi Lillman 15.28%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)