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, 6) = 6
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 8 = 48
Base_Influence (IV) = $inbound / $outbound = 6 / 8 = 0.75
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 48 *
( 1 [Einar Olsson] *
16 [Fredrik Vogsborg] *
1 [Ketil Kinden Endresen] *
1 [Matias Monsen] *
1 [Fredrik Ãgreid Vogsborg] *
1 [Fredrik Ãgreid Vogsborg] *
1 [Kjetil Bjøreid Aabø] *
1 [Kjetil Bjøreid Aabø] *
1 [Strange Hellos] *
1 [Syme] *
1 [Young Dreams]
)
= 768
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.75 *
( 1 [Einar Olsson] *
1 [Fredrik Vogsborg] *
1 [Ketil Kinden Endresen] *
1 [Matias Monsen] *
1 [Fredrik Ãgreid Vogsborg] *
1 [Fredrik Ãgreid Vogsborg] *
1 [Kjetil Bjøreid Aabø] *
1 [Kjetil Bjøreid Aabø] *
1 [Strange Hellos] *
1 [Syme] *
1 [Young Dreams]
)
= 0.75
Outbound
6
Tags on post
Inbound
8
Posts tagging this
Connections
11
Total nodes
Base Node Strength
48
Base Node Influence
0.75
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Fredrik Vogsborg 21.62%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)