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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 9 [Nick Holmes] *
144 [Bloodbath] *
961 [Dan Swanö] *
36 [Jonas Renkse] *
25 [Anders Nyström] *
100 [Martin Axenrot] *
1 [Per Eriksson] *
100 [Peter Tägtgren] *
4 [Per Eriksson (2)] *
25 [Mikael Åkerfeldt] *
9 [Mikael Ã
kerfeldt] *
1 [Tomas Ã
kvik] *
16 [Maim] *
16 [Andreas Axelsson] *
1 [Henric Ottosson] *
1 [Viktor Jonas]
)
= 1.03 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Nick Holmes] *
1 [Bloodbath] *
1 [Dan Swanö] *
1 [Jonas Renkse] *
1 [Anders Nyström] *
1 [Martin Axenrot] *
1 [Per Eriksson] *
1 [Peter Tägtgren] *
1 [Per Eriksson (2)] *
1 [Mikael Åkerfeldt] *
1 [Mikael Ã
kerfeldt] *
1 [Tomas Ã
kvik] *
1 [Maim] *
1 [Andreas Axelsson] *
1 [Henric Ottosson] *
1 [Viktor Jonas]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
16
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.28%
(1.03 × 1019 overall)
Dominant nodes (excluded from chart)Dan Swanö 66.14%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)