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, 7) = 7
$outbound = max(1, 7) = 7
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 7 = 49
Base_Influence (IV) = $inbound / $outbound = 7 / 7 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 49 *
( 10 [Bohemia] *
49 [Jean Baptiste Lully] *
4 [François Joseph Gossec] *
4 [Hector Berlioz] *
16 [François Couperin] *
4 [Johann Stamitz] *
4 [Louis Marchand] *
1 [Alexandre Le Riche de La Poupelinière] *
16 [Giacomo Meyerbeer] *
4 [Michel Richard de] *
4 [François Roberday] *
4 [Nicolas Gigault] *
4 [Nicolas Métru] *
1 [Lycée Jean-Baptiste-Lulli] *
16 [1734] *
1 [Collège François-Couperin] *
4 [Johann Sebastian Bach]
)
= 25.78T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 10 [Bohemia] *
1 [Jean Baptiste Lully] *
1 [François Joseph Gossec] *
1 [Hector Berlioz] *
1 [François Couperin] *
1 [Johann Stamitz] *
1 [Louis Marchand] *
1 [Alexandre Le Riche de La Poupelinière] *
1 [Giacomo Meyerbeer] *
1 [Michel Richard de] *
1 [François Roberday] *
1 [Nicolas Gigault] *
1 [Nicolas Métru] *
1 [Lycée Jean-Baptiste-Lulli] *
1 [1734] *
1 [Collège François-Couperin] *
1 [Johann Sebastian Bach]
)
= 10
Outbound
7
Tags on post
Inbound
7
Posts tagging this
Connections
17
Total nodes
Base Node Strength
49
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Jean Baptiste Lully 25.13%
Influence Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Bohemia 37.04%
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
