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, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 3 [minnesang] *
2 [Henry VI] *
9 [Beginning of troubadour & trouvere music in France] *
9 [Troubadour music in southern France becomes organized] *
1 [1125] *
16 [1150] *
1 [Middle High German period] *
4 [Ladies’ strophe] *
9 [strophe] *
1 [-680] *
4 [Archilochus] *
35 [“Ladies’ strophe” the earliest German “ Minnelieder.] *
6 [Minnelieder]
)
= 8.47B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 3 [minnesang] *
2 [Henry VI] *
1 [Beginning of troubadour & trouvere music in France] *
1 [Troubadour music in southern France becomes organized] *
1 [1125] *
1 [1150] *
1 [Middle High German period] *
1 [Ladies’ strophe] *
1 [strophe] *
1 [-680] *
1 [Archilochus] *
0.7143 [“Ladies’ strophe” the earliest German “ Minnelieder.] *
0.6667 [Minnelieder]
)
= 2.86
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
13
Total nodes
Base Node Strength
36
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)