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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 961 [Dan Swanö] *
25 [Demiurg] *
324 [Ed Warby] *
4 [Marjan Welman] *
4 [Pär Johansson (3)] *
16 [Demiurge] *
1 [Yaldabaoth] *
64 [Ribspreader] *
36 [Taylor Nordberg] *
16 [Brynjar Helgetun] *
144 [Jeramie Kling] *
16 [Matthias Fiebig] *
9 [Andreas Carlsson (4)] *
1 [Ola Langli] *
1 [Ronnie Björnström] *
25 [Stass] *
25 [Kjetil Lynghaug] *
4 [Thomas Ohlsson] *
1 [Simone Stassarini] *
1 [Felix Stass]
)
= 6.09 x 10^22
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Dan Swanö] *
1 [Demiurg] *
1 [Ed Warby] *
1 [Marjan Welman] *
1 [Pär Johansson (3)] *
1 [Demiurge] *
1 [Yaldabaoth] *
1 [Ribspreader] *
1 [Taylor Nordberg] *
1 [Brynjar Helgetun] *
1 [Jeramie Kling] *
1 [Matthias Fiebig] *
1 [Andreas Carlsson (4)] *
1 [Ola Langli] *
1 [Ronnie Björnström] *
1 [Stass] *
1 [Kjetil Lynghaug] *
1 [Thomas Ohlsson] *
1 [Simone Stassarini] *
1 [Felix Stass]
)
= 1
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
20
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.94%
(6.09 × 1022 overall)
Dominant nodes (excluded from chart)Dan Swanö 56.73%Ed Warby 19.13%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)