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, 3) = 3
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 6 *
( 16 [John Dunstable] *
36 [Guillaume Dufay] *
9 [Antoine Busnois] *
4 [100 years war] *
1 [bergyndian school] *
25 [Ars nova (1310–1377)] *
16 [Gáva culture] *
9 [11th century BC] *
49 [13th century BC] *
1 [Gáva culture pottery] *
4 [Axe head-AO 29146] *
42 [Gilles Binchois]
)
= 3.69T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 1 [John Dunstable] *
1 [Guillaume Dufay] *
1 [Antoine Busnois] *
1 [100 years war] *
1 [bergyndian school] *
1 [Ars nova (1310–1377)] *
1 [Gáva culture] *
1 [11th century BC] *
1 [13th century BC] *
1 [Gáva culture pottery] *
1 [Axe head-AO 29146] *
0.8571 [Gilles Binchois]
)
= 1.29
Outbound
3
Tags on post
Inbound
2
Posts tagging this
Connections
12
Total nodes
Base Node Strength
6
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
