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 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 25 [Shadow Gallery] *
1 [Brendt Allman] *
1 [Carl Cadden James] *
1 [Chris Ingles] *
1 [Mike Baker (3)] *
169 [Arjen Anthony Lucassen] *
961 [Dan Swanö] *
81 [Star One] *
81 [Russell Allen] *
324 [Ed Warby] *
81 [Floor Jansen] *
169 [Damian Wilson] *
36 [Joost van den Broek] *
1 [Peter Vink]
)
= 1.70 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Shadow Gallery] *
1 [Brendt Allman] *
1 [Carl Cadden James] *
1 [Chris Ingles] *
1 [Mike Baker (3)] *
1 [Arjen Anthony Lucassen] *
1 [Dan Swanö] *
1 [Star One] *
1 [Russell Allen] *
1 [Ed Warby] *
1 [Floor Jansen] *
1 [Damian Wilson] *
1 [Joost van den Broek] *
1 [Peter Vink]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
14
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.21%
(1.70 × 1019 overall)
Dominant nodes (excluded from chart)Dan Swanö 49.64%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)