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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 324 [Invocator] *
1 [Carsten Nielsen] *
4 [Flemming C. Lund] *
1 [Jacob Schultz] *
1 [Per M. Jensen] *
16 [Jacob Hansen] *
4 [Jesper Kvist] *
9 [Kasper Kirkegaard] *
4 [Jakob Gundel] *
4 [Brian Rasmussen] *
1 [Carsten N. Mikkelsen] *
1 [Jakob Schultz] *
4 [Jesper M. Jensen] *
1 [Mikkel Henssel] *
1 [Otto Hansen] *
1 [Per Jakobsen] *
1 [Perle Hansen] *
16 [Per Möller Jensen]
)
= 764.41M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Invocator] *
1 [Carsten Nielsen] *
1 [Flemming C. Lund] *
1 [Jacob Schultz] *
1 [Per M. Jensen] *
1 [Jacob Hansen] *
1 [Jesper Kvist] *
1 [Kasper Kirkegaard] *
1 [Jakob Gundel] *
1 [Brian Rasmussen] *
1 [Carsten N. Mikkelsen] *
1 [Jakob Schultz] *
1 [Jesper M. Jensen] *
1 [Mikkel Henssel] *
1 [Otto Hansen] *
1 [Per Jakobsen] *
1 [Perle Hansen] *
1 [Per Möller Jensen]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Invocator 82.03%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)