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 *
( 4 [Sarah Chang] *
4 [David Singer (4)] *
400 [Orpheus Chamber Orchestra] *
4 [Adela Peña] *
1 [Carl Albach] *
25 [Charles Neidich] *
1 [Dana Kelley (2)] *
1 [Daniel Avshalomov] *
1 [David Cerutti] *
1 [David Jolley] *
81 [Dennis Godburn] *
16 [Donald Palma] *
1 [Dov Scheindlin] *
4 [Eric Bartlett] *
1 [Eric Wyrick] *
1 [Eriko Sato] *
1 [Frank Morelli] *
81 [Gregg August] *
4 [Guillermo Figueroa] *
1 [Adela Peña]
)
= 1.07T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Sarah Chang] *
1 [David Singer (4)] *
1 [Orpheus Chamber Orchestra] *
1 [Adela Peña] *
1 [Carl Albach] *
1 [Charles Neidich] *
1 [Dana Kelley (2)] *
1 [Daniel Avshalomov] *
1 [David Cerutti] *
1 [David Jolley] *
1 [Dennis Godburn] *
1 [Donald Palma] *
1 [Dov Scheindlin] *
1 [Eric Bartlett] *
1 [Eric Wyrick] *
1 [Eriko Sato] *
1 [Frank Morelli] *
1 [Gregg August] *
1 [Guillermo Figueroa] *
1 [Adela Peña]
)
= 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)Orpheus Chamber Orchestra 63.09%Dennis Godburn 12.78%Gregg August 12.78%Charles Neidich 3.94%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)