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, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 12 [St petersberg] *
4 [Douglas Moore] *
25 [Cole Porter] *
25 [Aaron Jay Kernis] *
4 [San Francisco Conservatory] *
9 [Morton Subotnick] *
1 [Jacob Druckman] *
1 [Bernard Rands] *
36 [J. Louis von der Mehden] *
1 [Chicago School of Law] *
1 [Herald Square Theatre] *
1 [Oskaloosa College] *
1 [University of Connecticut] *
25 [University of Music and Theatre Leipzig] *
9 [Alexei Navalny] *
1 [Skull and Bones] *
4 [Russia of the Future]
)
= 874.8B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [St petersberg] *
1 [Douglas Moore] *
1 [Cole Porter] *
1 [Aaron Jay Kernis] *
1 [San Francisco Conservatory] *
1 [Morton Subotnick] *
1 [Jacob Druckman] *
1 [Bernard Rands] *
1 [J. Louis von der Mehden] *
1 [Chicago School of Law] *
1 [Herald Square Theatre] *
1 [Oskaloosa College] *
1 [University of Connecticut] *
1 [University of Music and Theatre Leipzig] *
1 [Alexei Navalny] *
1 [Skull and Bones] *
1 [Russia of the Future]
)
= 1.33
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
17
Total nodes
Base Node Strength
25
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)