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, 8) = 8
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 8 = 64
Base_Influence (IV) = $inbound / $outbound = 8 / 8 = 1
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 64 *
( 15 [leipzig] *
1 [Gerd Rosenkranz] *
1 [Giovanni di Lorenzo] *
1 [Marieke Reimann] *
1 [Matthias Krupa] *
1 [Theo Sommer] *
1 [Volker Hage] *
1 [Götz Hamann] *
25 [University of Music and Theatre Leipzig] *
1 [Gallery pages of Leipzig]
)
= 24K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.67 [leipzig] *
1 [Gerd Rosenkranz] *
1 [Giovanni di Lorenzo] *
1 [Marieke Reimann] *
1 [Matthias Krupa] *
1 [Theo Sommer] *
1 [Volker Hage] *
1 [Götz Hamann] *
1 [University of Music and Theatre Leipzig] *
1 [Gallery pages of Leipzig]
)
= 1.67
Outbound
8
Tags on post
Inbound
8
Posts tagging this
Connections
10
Total nodes
Base Node Strength
64
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)University of Music and Theatre Leipzig 22.32%leipzig 13.39%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)