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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 324 [Jørn Lande] *
144 [Uli Kusch] *
49 [Beautiful Sin] *
16 [Axel Mackenrott] *
49 [Jørn Viggo Lofstad] *
25 [Steinar Krokmo] *
36 [Magali Luyten] *
81 [Saviour Machine] *
4 [Charles Cooper] *
1 [Eric Clayton] *
1 [Jeff Clayton] *
1 [Charles Cooper (4)] *
1 [Jayson Heart] *
1 [Nathan Van Hala] *
1 [Chris Fee (2)] *
9 [Thomas Weinesjö]
)
= 1.88 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Jørn Lande] *
1 [Uli Kusch] *
1 [Beautiful Sin] *
1 [Axel Mackenrott] *
1 [Jørn Viggo Lofstad] *
1 [Steinar Krokmo] *
1 [Magali Luyten] *
1 [Saviour Machine] *
1 [Charles Cooper] *
1 [Eric Clayton] *
1 [Jeff Clayton] *
1 [Charles Cooper (4)] *
1 [Jayson Heart] *
1 [Nathan Van Hala] *
1 [Chris Fee (2)] *
1 [Thomas Weinesjö]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
16
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.54%
(1.88 × 1016 overall)
Dominant nodes (excluded from chart)Jørn Lande 43.37%Uli Kusch 19.28%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)