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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 289 [Turisas] *
16 [Jaakko Jakku] *
4 [Jesper Anastasiadis] *
4 [Mathias Nygård] *
1 [Olli Vänskä] *
4 [Antti Ventola] *
4 [Georg Laakso] *
1 [Hannes Horma] *
16 [Jukka Pekka Miettinen] *
9 [Netta Skog] *
1 [Riku Ylitalo] *
16 [Robert Engstrand] *
4 [Sami Aarnio] *
1 [Tuomas Lehtonen] *
1 [Winsef Boncamper] *
1 [Jussi Wickström] *
1 [Mikko Törmikoski] *
1 [Kirkkokahvit]
)
= 43.64B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Turisas] *
1 [Jaakko Jakku] *
1 [Jesper Anastasiadis] *
1 [Mathias Nygård] *
1 [Olli Vänskä] *
1 [Antti Ventola] *
1 [Georg Laakso] *
1 [Hannes Horma] *
1 [Jukka Pekka Miettinen] *
1 [Netta Skog] *
1 [Riku Ylitalo] *
1 [Robert Engstrand] *
1 [Sami Aarnio] *
1 [Tuomas Lehtonen] *
1 [Winsef Boncamper] *
1 [Jussi Wickström] *
1 [Mikko Törmikoski] *
1 [Kirkkokahvit]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
18
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Turisas 76.46%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)