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, 5) = 5
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 4 = 20
Base_Influence (IV) = $inbound / $outbound = 5 / 4 = 1.25
// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 20 *
( 12 [Alma Mahler-Werfel] *
42 [Gustav Mahler] *
121 [Alfredo Casella] *
576 [Metropolitan Opera] *
1.6K [New York Philharmonic] *
1 [Compositions by Gustav Mahler] *
1 [Portraits of Gustav Mahler] *
9 [Grave of Alma Mahler-Werfel and Manon Gropius] *
9 [Manon Gropius]
)
= 91.05T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.25 *
( 1.33 [Alma Mahler-Werfel] *
1.17 [Gustav Mahler] *
1 [Alfredo Casella] *
1 [Metropolitan Opera] *
1 [New York Philharmonic] *
1 [Compositions by Gustav Mahler] *
1 [Portraits of Gustav Mahler] *
1 [Grave of Alma Mahler-Werfel and Manon Gropius] *
1 [Manon Gropius]
)
= 1.94
Outbound
5
Tags on post
Inbound
4
Posts tagging this
Connections
9
Total nodes
Base Node Strength
20
Base Node Influence
1.25
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)New York Philharmonic 66.92%Metropolitan Opera 24.09%Alfredo Casella 5.06%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)