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, 11) = 11
$outbound = max(1, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 11 * 10 = 110
Base_Influence (IV) = $inbound / $outbound = 11 / 10 = 1.1
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 110 *
( 4 [Lohengrinhaus, Graupa] *
1 [Lohengrinhaus] *
1 [Cultural heritage monuments in Graupa] *
1 [Houses in Graupa] *
1 [Kirche Graupa] *
1 [Monuments and memorials in Graupa] *
1 [Salzlecke Grossgraupa] *
1 [Stone crosses in Graupa] *
1 [Stone signposts in Graupa] *
1 [Streets in Graupa] *
1 [Timber framing in Graupa]
)
= 440
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.1 *
( 1 [Lohengrinhaus, Graupa] *
1 [Lohengrinhaus] *
1 [Cultural heritage monuments in Graupa] *
1 [Houses in Graupa] *
1 [Kirche Graupa] *
1 [Monuments and memorials in Graupa] *
1 [Salzlecke Grossgraupa] *
1 [Stone crosses in Graupa] *
1 [Stone signposts in Graupa] *
1 [Streets in Graupa] *
1 [Timber framing in Graupa]
)
= 1.1
Outbound
11
Tags on post
Inbound
10
Posts tagging this
Connections
11
Total nodes
Base Node Strength
110
Base Node Influence
1.1
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Richard-Wagner-Stätten Graupa
BROKEN LINK