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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 4 [Antonello Manacorda] *
324 [Kammerakademie Potsdam] *
1 [Anna Carewe] *
4 [Annette Geiger] *
1 [Bettina Lange] *
1 [Christiane Plath] *
1 [Christoph Hampe] *
1 [Christoph Knitt] *
1 [Christoph Starke] *
1 [Davide Pozzi (2)] *
1 [Diego Cantalupi] *
1 [Emma Black (2)] *
1 [Friedemann Werzlau] *
1 [Giovanni de Angeli] *
1 [Jan Peter Kuschel] *
1 [Jenny Anschel] *
1 [Judith Wolf (2)] *
1 [Anne Hofmann] *
1 [Ensemble Oriol Berlin]
)
= 20.7K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Antonello Manacorda] *
1 [Kammerakademie Potsdam] *
1 [Anna Carewe] *
1 [Annette Geiger] *
1 [Bettina Lange] *
1 [Christiane Plath] *
1 [Christoph Hampe] *
1 [Christoph Knitt] *
1 [Christoph Starke] *
1 [Davide Pozzi (2)] *
1 [Diego Cantalupi] *
1 [Emma Black (2)] *
1 [Friedemann Werzlau] *
1 [Giovanni de Angeli] *
1 [Jan Peter Kuschel] *
1 [Jenny Anschel] *
1 [Judith Wolf (2)] *
1 [Anne Hofmann] *
1 [Ensemble Oriol Berlin]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
19
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Kammerakademie Potsdam 92.05%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
