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 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 42 [Gustav Mahler] *
1.4K [Conservatoire de Paris] *
64 [Richard Strauss] *
49 [Maurice Ravel] *
36 [Igor Stravinsky] *
9 [Gabriel Fauré] *
4 [George Enescu] *
1 [Ferruccio Busoni] *
49 [Claude Debussy] *
121 [Alfredo Casella] *
25 [Louis Diémer]
)
= 3.55 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.17 [Gustav Mahler] *
1.08 [Conservatoire de Paris] *
1 [Richard Strauss] *
1 [Maurice Ravel] *
1 [Igor Stravinsky] *
1 [Gabriel Fauré] *
1 [George Enescu] *
1 [Ferruccio Busoni] *
1 [Claude Debussy] *
1 [Alfredo Casella] *
1 [Louis Diémer]
)
= 1.26
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
11
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.06%
(3.55 × 1016 overall)
Dominant nodes (excluded from chart)Conservatoire de Paris 77.78%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)