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, 6) = 6
$outbound = max(1, 7) = 7
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 7 = 42
Base_Influence (IV) = $inbound / $outbound = 6 / 7 = 0.8571
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 42 *
( 3 [1400] *
9 [William Byrd] *
16 [John Dunstable] *
1 [Henry Purcell] *
36 [Guillaume Dufay] *
1 [Richard Loqueville] *
1 [Nicolas Malin] *
1 [Malatesta] *
1 [Cathedral of Cambrai] *
1 [Jacob Obrecht] *
9 [Antoine Busnois] *
4 [100 years war] *
1 [bergyndian school] *
25 [Ars nova (1310–1377)] *
64 [Crisis of the Late Middle Ages] *
4 [Guillaume de Machaut] *
1 [Giovanni da Firenze] *
1 [Johan of Fécamp] *
35 [Josquin Desprez] *
2 [Francesco Landini]
)
= 10.53T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.8571 *
( 3 [1400] *
1 [William Byrd] *
1 [John Dunstable] *
1 [Henry Purcell] *
1 [Guillaume Dufay] *
1 [Richard Loqueville] *
1 [Nicolas Malin] *
1 [Malatesta] *
1 [Cathedral of Cambrai] *
1 [Jacob Obrecht] *
1 [Antoine Busnois] *
1 [100 years war] *
1 [bergyndian school] *
1 [Ars nova (1310–1377)] *
1 [Crisis of the Late Middle Ages] *
1 [Guillaume de Machaut] *
1 [Giovanni da Firenze] *
1 [Johan of Fécamp] *
0.7143 [Josquin Desprez] *
0.5 [Francesco Landini]
)
= 0.9184
Outbound
6
Tags on post
Inbound
7
Posts tagging this
Connections
20
Total nodes
Base Node Strength
42
Base Node Influence
0.8571
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Crisis of the Late Middle Ages 24.81%Guillaume Dufay 13.95%Josquin Desprez 13.57%Ars nova (1310–1377) 9.69%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)