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 *
( 196 [Aeon] *
64 [Victor Brandt] *
4 [Arttu Malkki] *
4 [Daniel Dlimi] *
9 [Emil Wiksten] *
1 [Johan Hjelm] *
9 [Marcus Edvardsson] *
1 [Max Carlberg] *
1 [Morgan Nordbakk] *
169 [Nils Fjellström] *
1 [Sebastian Nilsson] *
81 [Timo Häkkinen] *
1 [Tommy Dahlström] *
1 [Tony Östman] *
16 [Defiatory] *
1 [Martin Runnzell] *
9 [Mats Johansson] *
1 [Patrik Wall]
)
= 128.18T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Aeon] *
1 [Victor Brandt] *
1 [Arttu Malkki] *
1 [Daniel Dlimi] *
1 [Emil Wiksten] *
1 [Johan Hjelm] *
1 [Marcus Edvardsson] *
1 [Max Carlberg] *
1 [Morgan Nordbakk] *
1 [Nils Fjellström] *
1 [Sebastian Nilsson] *
1 [Timo Häkkinen] *
1 [Tommy Dahlström] *
1 [Tony Östman] *
1 [Defiatory] *
1 [Martin Runnzell] *
1 [Mats Johansson] *
1 [Patrik Wall]
)
= 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)Aeon 34.21%Nils Fjellström 29.49%Timo Häkkinen 14.14%Victor Brandt 11.17%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)