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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 20 [Stephan Grossmann] *
324 [Good Bye Lenin!] *
16 [Katrin Sass] *
1 [Heidi M.] *
1 [Bürgschaft für ein Jahr] *
1 [Gigantic] *
9 [Florian Lukas] *
324 [Alles Klara] *
9 [Look Who's Back] *
1 [Morgen hör ich auf]
)
= 24.49B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Stephan Grossmann] *
1 [Good Bye Lenin!] *
1 [Katrin Sass] *
1 [Heidi M.] *
1 [Bürgschaft für ein Jahr] *
1 [Gigantic] *
1 [Florian Lukas] *
1 [Alles Klara] *
1 [Look Who's Back] *
1 [Morgen hör ich auf]
)
= 1.25
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
10
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Good Bye Lenin! 45.31%Alles Klara 45.31%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)