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, 13) = 13
$outbound = max(1, 13) = 13
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 13 * 13 = 169
Base_Influence (IV) = $inbound / $outbound = 13 / 13 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 169 *
( 30 [KÄLTER] *
4 [Kalterer See] *
1 [Rastenbachklamm] *
25 [St. Josef am See] *
36 [Unterplanitzing] *
1 [Andergassen in Oberplanitzing] *
1 [Oberplanitzing 10-11] *
1 [Oberplanitzing 13] *
1 [Oberplanitzing 16] *
1 [Oberplanitzing 18] *
1 [Oberplanitzing 47] *
1 [Oberplanitzing 56] *
1 [Oberplanitzing 57] *
1 [Oberplanitzing 60] *
1 [Oberplanitzing 61] *
1 [Oberplanitzing 8] *
1 [St. Georg in Oberplanitzing]
)
= 18.25M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.2 [KÄLTER] *
1 [Kalterer See] *
1 [Rastenbachklamm] *
1 [St. Josef am See] *
1 [Unterplanitzing] *
1 [Andergassen in Oberplanitzing] *
1 [Oberplanitzing 10-11] *
1 [Oberplanitzing 13] *
1 [Oberplanitzing 16] *
1 [Oberplanitzing 18] *
1 [Oberplanitzing 47] *
1 [Oberplanitzing 56] *
1 [Oberplanitzing 57] *
1 [Oberplanitzing 60] *
1 [Oberplanitzing 61] *
1 [Oberplanitzing 8] *
1 [St. Georg in Oberplanitzing]
)
= 1.2
Outbound
13
Tags on post
Inbound
13
Posts tagging this
Connections
17
Total nodes
Base Node Strength
169
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Unterplanitzing 13.00%KÄLTER 10.83%St. Josef am See 9.03%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
