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 *
( 12 [Harald Maack] *
16 [Nina von Arx] *
324 [Freundschaft mit Herz] *
9 [Manon Straché] *
1 [Anette Hellwig] *
1 [Arnfried Lerche] *
1 [Chiara Schoras] *
1 [Dagmar Laurens] *
1 [Eva Maria Kerkhoff] *
1 [Fanny Stavjanik] *
1 [Gabrielle Odinis] *
16 [Jens Knospe] *
1 [Mariele Millowitsch] *
1 [Nadja Zwanziger] *
1 [Philippe Brenninkmeyer] *
1 [Tamara Rohloff] *
1 [Walter Sittler] *
1 [Andrea Bürgin]
)
= 8.96M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Harald Maack] *
1 [Nina von Arx] *
1 [Freundschaft mit Herz] *
1 [Manon Straché] *
1 [Anette Hellwig] *
1 [Arnfried Lerche] *
1 [Chiara Schoras] *
1 [Dagmar Laurens] *
1 [Eva Maria Kerkhoff] *
1 [Fanny Stavjanik] *
1 [Gabrielle Odinis] *
1 [Jens Knospe] *
1 [Mariele Millowitsch] *
1 [Nadja Zwanziger] *
1 [Philippe Brenninkmeyer] *
1 [Tamara Rohloff] *
1 [Walter Sittler] *
1 [Andrea Bürgin]
)
= 1.33
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)Freundschaft mit Herz 82.86%Nina von Arx 4.09%Jens Knospe 4.09%Harald Maack 3.07%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)