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, 6) = 6
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 2 = 12
Base_Influence (IV) = $inbound / $outbound = 6 / 2 = 3
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 12 *
( 2 [Österreich] *
6 [Michael Haydn] *
81 [Austria] *
1 [Bregenz] *
1 [Eisenstadt] *
1 [Graz] *
1 [Innsbruck] *
4 [Klagenfurt] *
4 [Linz] *
1 [Sankt Polten] *
1 [Society of Salzburg]
)
= 186.6K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 3 *
( 2 [Österreich] *
1.5 [Michael Haydn] *
1 [Austria] *
1 [Bregenz] *
1 [Eisenstadt] *
1 [Graz] *
1 [Innsbruck] *
1 [Klagenfurt] *
1 [Linz] *
1 [Sankt Polten] *
1 [Society of Salzburg]
)
= 9
Outbound
6
Tags on post
Inbound
2
Posts tagging this
Connections
11
Total nodes
Base Node Strength
12
Base Node Influence
3
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Austria 70.43%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Firefighting in Salzburg
BROKEN LINKObjects in Salzburg
BROKEN LINKQuarters of Salzburg
BROKEN LINKSports in Salzburg
BROKEN LINK
