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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 400 [Berliner Philharmoniker] *
16 [Bernard Haitink] *
64 [Sir James Galway] *
1 [Emmanuel Pahud] *
4 [Alexander Bader] *
100 [Alexander Von Puttkamer] *
1 [Aage Wallin] *
1 [Alan Nilles] *
1 [Albrecht Mayer] *
1 [Alessandro Cappone] *
1 [Alexander Wedow] *
4 [Alfred Indig] *
1 [Alfred Malecek] *
1 [Aline Champion] *
1 [Alvaro Parra] *
1 [Amadeus Heutling] *
4 [Amichai Grosz] *
1 [Andreas Blau] *
1 [Andrea Zietzschmann] *
1 [Aleksandar IviÄ]
)
= 2.62B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Berliner Philharmoniker] *
1 [Bernard Haitink] *
1 [Sir James Galway] *
1 [Emmanuel Pahud] *
1 [Alexander Bader] *
1 [Alexander Von Puttkamer] *
1 [Aage Wallin] *
1 [Alan Nilles] *
1 [Albrecht Mayer] *
1 [Alessandro Cappone] *
1 [Alexander Wedow] *
1 [Alfred Indig] *
1 [Alfred Malecek] *
1 [Aline Champion] *
1 [Alvaro Parra] *
1 [Amadeus Heutling] *
1 [Amichai Grosz] *
1 [Andreas Blau] *
1 [Andrea Zietzschmann] *
1 [Aleksandar IviÄ]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Berliner Philharmoniker 66.01%Alexander Von Puttkamer 16.50%Sir James Galway 10.56%Bernard Haitink 2.64%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)