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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 9 [Dallapé] *
196 [Timo Lassy] *
16 [Marko Portin] *
49 [Zarkus Poussa] *
81 [Marzi Nyman] *
196 [GG Caravan] *
1 [Antti Untamala] *
1 [Joonas Kasurinen] *
1 [Jorma Rantalainen] *
1 [Karri Miettinen] *
1 [Lasse Mellberg] *
1 [Miika Colliander] *
1 [Samu Wuori] *
1 [Tero Roininen] *
16 [Tommy Lindgren] *
1 [Brandon Bauer (2)] *
1 [Toni Porthén]
)
= 1.41T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Dallapé] *
1 [Timo Lassy] *
1 [Marko Portin] *
1 [Zarkus Poussa] *
1 [Marzi Nyman] *
1 [GG Caravan] *
1 [Antti Untamala] *
1 [Joonas Kasurinen] *
1 [Jorma Rantalainen] *
1 [Karri Miettinen] *
1 [Lasse Mellberg] *
1 [Miika Colliander] *
1 [Samu Wuori] *
1 [Tero Roininen] *
1 [Tommy Lindgren] *
1 [Brandon Bauer (2)] *
1 [Toni Porthén]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
17
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Timo Lassy 33.97%GG Caravan 33.97%Marzi Nyman 14.04%Zarkus Poussa 8.49%Marko Portin 2.77%Tommy Lindgren 2.77%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)