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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 25 [Berlin University of the Arts] *
4 [Leiv Warren Donnan] *
49 [Leo van Doeselaar] *
1 [Ursula Voigtlaender] *
1 [Universität der Künste Berlin, concert hall] *
1 [Bangor University, main building] *
16 [main building] *
4 [Main Building, University of the Free State] *
4 [Stockholm School of Economics, Main building]
)
= 5.02M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Berlin University of the Arts] *
1 [Leiv Warren Donnan] *
1 [Leo van Doeselaar] *
1 [Ursula Voigtlaender] *
1 [Universität der Künste Berlin, concert hall] *
1 [Bangor University, main building] *
1 [main building] *
1 [Main Building, University of the Free State] *
1 [Stockholm School of Economics, Main building]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
9
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Leo van Doeselaar 44.95%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)