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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 25 [Heinz Holliger] *
289 [Swiss Chamber Soloists] *
1 [Barbara Zanichelli] *
1 [Carolin Widmann] *
1 [Christian Lampert (2)] *
1 [Christoph Schiller (2)] *
16 [Corinne Chapelle] *
1 [Daniel Haefliger] *
1 [Daria Zappa] *
1 [Diego Chenna] *
1 [Edicson Ruiz] *
1 [Elmar Schmid] *
1 [Esther Hoppe] *
1 [Fabrizio Chiovetta] *
1 [Felix Renggli] *
1 [Hanna Weinmeister] *
1 [François Benda]
)
= 115.6K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Heinz Holliger] *
1 [Swiss Chamber Soloists] *
1 [Barbara Zanichelli] *
1 [Carolin Widmann] *
1 [Christian Lampert (2)] *
1 [Christoph Schiller (2)] *
1 [Corinne Chapelle] *
1 [Daniel Haefliger] *
1 [Daria Zappa] *
1 [Diego Chenna] *
1 [Edicson Ruiz] *
1 [Elmar Schmid] *
1 [Esther Hoppe] *
1 [Fabrizio Chiovetta] *
1 [Felix Renggli] *
1 [Hanna Weinmeister] *
1 [François Benda]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Swiss Chamber Soloists 83.77%Heinz Holliger 7.25%Corinne Chapelle 4.64%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)