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, 5) = 5
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 6 = 30
Base_Influence (IV) = $inbound / $outbound = 5 / 6 = 0.8333
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 30 *
( 12 [Sleeping Beauty] *
30 [Igor Stravinsky] *
42 [Sergei Rachmaninov] *
81 [Nikolai Rimsky Korsakov] *
9 [Robert Schumann] *
16 [Modest Mussorgsky] *
4 [Mikhail Glinka] *
16 [César Cui] *
9 [Théodore Canillé] *
4 [Mily Balakirev] *
25 [John Field] *
144 [Walter Spies 1895] *
16 [Anton Rubinstein] *
4 [Nikolai Zaremba] *
1 [Alexey Sofronov] *
1 [Rubynshtejnskaja Street] *
1 [Sheet music by Anton Rubinstein] *
4 [Rubinsteinstraße, Dresden] *
1 [Adolf Bernhard Marx] *
35 [Maurice Ravel]
)
= 3.93 x 10^20
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.8333 *
( 1.33 [Sleeping Beauty] *
1.2 [Igor Stravinsky] *
1.17 [Sergei Rachmaninov] *
1 [Nikolai Rimsky Korsakov] *
1 [Robert Schumann] *
1 [Modest Mussorgsky] *
1 [Mikhail Glinka] *
1 [César Cui] *
1 [Théodore Canillé] *
1 [Mily Balakirev] *
1 [John Field] *
1 [Walter Spies 1895] *
1 [Anton Rubinstein] *
1 [Nikolai Zaremba] *
1 [Alexey Sofronov] *
1 [Rubynshtejnskaja Street] *
1 [Sheet music by Anton Rubinstein] *
1 [Rubinsteinstraße, Dresden] *
1 [Adolf Bernhard Marx] *
0.7143 [Maurice Ravel]
)
= 1.11
Outbound
5
Tags on post
Inbound
6
Posts tagging this
Connections
20
Total nodes
Base Node Strength
30
Base Node Influence
0.8333
Strength Share (vs Direct Neighbours)
6.19%
(3.93 × 1020 overall)
Dominant nodes (excluded from chart)Walter Spies 1895 29.69%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
