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, 10) = 10
$outbound = max(1, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 10 = 100
Base_Influence (IV) = $inbound / $outbound = 10 / 10 = 1
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 100 *
( 9 [Svensk Rock Mot Apartheid] *
1 [Anne Linnet Band] *
1 [Cowgirls] *
1 [Curled Edges] *
1 [Fà ̧dselsdagshjælpens All Stars] *
1 [Flair (4)] *
1 [Sneakers (6)] *
1 [Tvillingerne] *
1 ["Godspell" Original Danish Cast] *
1 [Sanne Salomonsen & The Voices] *
36 [Mikael Rickfors] *
4 [Eva Dahlgren]
)
= 129.6K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Svensk Rock Mot Apartheid] *
1 [Anne Linnet Band] *
1 [Cowgirls] *
1 [Curled Edges] *
1 [Fà ̧dselsdagshjælpens All Stars] *
1 [Flair (4)] *
1 [Sneakers (6)] *
1 [Tvillingerne] *
1 ["Godspell" Original Danish Cast] *
1 [Sanne Salomonsen & The Voices] *
1 [Mikael Rickfors] *
1 [Eva Dahlgren]
)
= 1
Outbound
10
Tags on post
Inbound
10
Posts tagging this
Connections
12
Total nodes
Base Node Strength
100
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Mikael Rickfors 22.78%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)