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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 961 [Dan Swanö] *
25 [Demiurg] *
324 [Ed Warby] *
16 [Johan Berglund] *
4 [Marjan Welman] *
25 [The Few Against Many] *
256 [Jani Stefanovic] *
169 [Christian Älvestam] *
9 [Anders Edlund] *
4 [Patrik Gardberg]
)
= 7.76 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Dan Swanö] *
1 [Demiurg] *
1 [Ed Warby] *
1 [Johan Berglund] *
1 [Marjan Welman] *
1 [The Few Against Many] *
1 [Jani Stefanovic] *
1 [Christian Älvestam] *
1 [Anders Edlund] *
1 [Patrik Gardberg]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
10
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.22%
(7.76 × 1016 overall)
Dominant nodes (excluded from chart)Dan Swanö 53.48%Ed Warby 18.03%Jani Stefanovic 14.25%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)