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, 4) = 4
$outbound = max(1, 0) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 1 = 4
Base_Influence (IV) = $inbound / $outbound = 4 / 1 = 4
// 3. Exponential Network Values (accumulating 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 48 [The Paris Conservatory 1795] *
1.4K [Conservatoire de Paris] *
4 [Antoine François Marmontel] *
4 [Jacques-Nicolas Lemmens] *
9 [Georges Bizet] *
121 [César Franck] *
49 [Claude Debussy] *
36 [Antoine-Joseph Fetis] *
81 [Edgard Varèse] *
9 [François Adrien Boieldieu] *
99 [The Paris Conservatory] *
20 [Charles-Valentin Alkan] *
12 [Institut National de Musique 1792] *
12 [École Royale de Chant] *
2 [Pierre-Joseph-Guillaume Zimmerman]
)
= 3.44 x 10^21
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 4 *
( 1.33 [The Paris Conservatory 1795] *
1.08 [Conservatoire de Paris] *
1 [Antoine François Marmontel] *
1 [Jacques-Nicolas Lemmens] *
1 [Georges Bizet] *
1 [César Franck] *
1 [Claude Debussy] *
1 [Antoine-Joseph Fetis] *
1 [Edgard Varèse] *
1 [François Adrien Boieldieu] *
0.8182 [The Paris Conservatory] *
0.8 [Charles-Valentin Alkan] *
0.75 [Institut National de Musique 1792] *
0.75 [École Royale de Chant] *
0.5 [Pierre-Joseph-Guillaume Zimmerman]
)
= 1.06
Outbound
4
Tags on post
Inbound
0
Posts tagging this
Connections
15
Total nodes
Base Node Strength
4
Base Node Influence
4
Strength Share (vs Direct Neighbours)
0.21%
(3.44 × 1021 overall)
Dominant nodes (excluded from chart)Conservatoire de Paris 73.35%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
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