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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 30 [Igor Stravinsky] *
42 [Sergei Rachmaninov] *
81 [Nikolai Rimsky Korsakov] *
9 [Robert Schumann] *
16 [Modest Mussorgsky] *
16 [César Cui] *
9 [Théodore Canillé] *
1 [Monuments and memorials to Mikhail Glinka] *
30 [Pyotr Il'yich Tchaikovsky] *
35 [Maurice Ravel]
)
= 8.89T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.2 [Igor Stravinsky] *
1.17 [Sergei Rachmaninov] *
1 [Nikolai Rimsky Korsakov] *
1 [Robert Schumann] *
1 [Modest Mussorgsky] *
1 [César Cui] *
1 [Théodore Canillé] *
1 [Monuments and memorials to Mikhail Glinka] *
0.8333 [Pyotr Il'yich Tchaikovsky] *
0.7143 [Maurice Ravel]
)
= 0.8333
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
10
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)