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, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 2 = 2
Base_Influence (IV) = $inbound / $outbound = 1 / 2 = 0.5
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 2 *
( 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] *
6 [Mendel funicular]
)
= 99.35B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.5 *
( 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] *
0.6667 [Mendel funicular]
)
= 1.56
Outbound
1
Tags on post
Inbound
2
Posts tagging this
Connections
10
Total nodes
Base Node Strength
2
Base Node Influence
0.5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Oberplanitzing 45.55%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
