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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 1 [Defy Christ] *
36 [Myrkr] *
1 [Bjørn Dencker Gjerde] *
1 [Eirik Havnes] *
25 [Ronny Hovland] *
100 [Svein Egil Hatlevik] *
1 [Drawn] *
4 [Animal Alpha] *
1 [Stille Opprà ̧r] *
144 [Kenneth Kapstad]
)
= 829.44M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Defy Christ] *
1 [Myrkr] *
1 [Bjørn Dencker Gjerde] *
1 [Eirik Havnes] *
1 [Ronny Hovland] *
1 [Svein Egil Hatlevik] *
1 [Drawn] *
1 [Animal Alpha] *
1 [Stille Opprà ̧r] *
1 [Kenneth Kapstad]
)
= 1
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
10
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Kenneth Kapstad 43.64%Svein Egil Hatlevik 30.30%Myrkr 10.91%Ronny Hovland 7.58%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)