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 *
( 3 [minnesang] *
3 [Henry VI] *
36 [The earliest German Minnelieder.] *
16 [1150] *
1 [Middle High German period] *
9 [Beginning of troubadour & trouvere music in France] *
9 [Troubadour music in southern France becomes organized] *
9 [strophe] *
35 [“Ladies’ strophe” the earliest German “ Minnelieder.] *
6 [Minnelieder]
)
= 3.17B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 3 [minnesang] *
3 [Henry VI] *
1 [The earliest German Minnelieder.] *
1 [1150] *
1 [Middle High German period] *
1 [Beginning of troubadour & trouvere music in France] *
1 [Troubadour music in southern France becomes organized] *
1 [strophe] *
0.7143 [“Ladies’ strophe” the earliest German “ Minnelieder.] *
0.6667 [Minnelieder]
)
= 4.29
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
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Connection Health Audit (Red = broken 1-way link)