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, 10) = 10
$outbound = max(1, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 10 = 100
Base_Influence (IV) = $inbound / $outbound = 10 / 10 = 1
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 100 *
( 9 [Gunnar Olsen] *
1 [Jakob Lykkebo] *
1 [Kirk Backarach] *
1 [Martin Steene] *
4 [Steve Mason (24)] *
1 [Fritz Wagner (3)] *
1 [Gunnar Olsen (2)] *
1 [J.J. (29)] *
1 [Martin Lund (3)] *
1 [Sigurd JÃ ̧hnk Jensen] *
25 [The Exit] *
121 [Puscifer] *
196 [Atomkraft]
)
= 2.13B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Gunnar Olsen] *
1 [Jakob Lykkebo] *
1 [Kirk Backarach] *
1 [Martin Steene] *
1 [Steve Mason (24)] *
1 [Fritz Wagner (3)] *
1 [Gunnar Olsen (2)] *
1 [J.J. (29)] *
1 [Martin Lund (3)] *
1 [Sigurd JÃ ̧hnk Jensen] *
1 [The Exit] *
1 [Puscifer] *
1 [Atomkraft]
)
= 1
Outbound
10
Tags on post
Inbound
10
Posts tagging this
Connections
13
Total nodes
Base Node Strength
100
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Atomkraft 42.33%Puscifer 26.13%The Exit 5.40%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
