Analyzing Network Connections...
Network Profile
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 [Griffen] *
1 [Burgruine Griffen] *
1 [Cultural heritage monuments in Griffen] *
1 [Die Stiftskirche zu Griffen und Oberndorf in Kärnthen] *
1 [Fire departments in Griffen] *
1 [Gletschach] *
1 [Griffener Tropfsteinhöhle] *
1 [Kirche Lind bei Griffen] *
1 [Pfarrkirche in Griffen] *
1 [Pustritz] *
1 [Schloss Ehrnegg] *
1 [St Leonhard an der Saualpe] *
1 [Stift Griffen] *
1 [Tschrietes] *
1 [Untergreutschach] *
1 [Sommerlinde Bierbaumer Sattel Vö 04] *
1 [Stieleiche Griffen Vö 05] *
4 [Wölfnitz an der Saualpe]
)
= 1.3K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Griffen] *
1 [Burgruine Griffen] *
1 [Cultural heritage monuments in Griffen] *
1 [Die Stiftskirche zu Griffen und Oberndorf in Kärnthen] *
1 [Fire departments in Griffen] *
1 [Gletschach] *
1 [Griffener Tropfsteinhöhle] *
1 [Kirche Lind bei Griffen] *
1 [Pfarrkirche in Griffen] *
1 [Pustritz] *
1 [Schloss Ehrnegg] *
1 [St Leonhard an der Saualpe] *
1 [Stift Griffen] *
1 [Tschrietes] *
1 [Untergreutschach] *
1 [Sommerlinde Bierbaumer Sattel Vö 04] *
1 [Stieleiche Griffen Vö 05] *
1 [Wölfnitz an der Saualpe]
)
= 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)Griffen 93.91%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 25, 3:39 PM
Sankt Andrä, Bezirk Wolfsberg, Austria
5
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