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, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 3 = 6
Base_Influence (IV) = $inbound / $outbound = 2 / 3 = 0.6667
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 6 *
( 4 [Mendelpass] *
42 [Kaltern-Dorf] *
81 [KÄLTER] *
1 [Cultural heritage monuments in Kaltern] *
4 [Kalterer See] *
169 [Oberplanitzing] *
1 [Rastenbachklamm] *
25 [St. Josef am See] *
36 [Unterplanitzing] *
1 [Mendel funicular railway bridge] *
2 [Mendel Pass]
)
= 99.35B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.6667 *
( 4 [Mendelpass] *
1.17 [Kaltern-Dorf] *
1 [KÄLTER] *
1 [Cultural heritage monuments in Kaltern] *
1 [Kalterer See] *
1 [Oberplanitzing] *
1 [Rastenbachklamm] *
1 [St. Josef am See] *
1 [Unterplanitzing] *
1 [Mendel funicular railway bridge] *
0.5 [Mendel Pass]
)
= 1.56
Outbound
2
Tags on post
Inbound
3
Posts tagging this
Connections
11
Total nodes
Base Node Strength
6
Base Node Influence
0.6667
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Oberplanitzing 45.43%KÄLTER 21.77%Kaltern-Dorf 11.29%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)