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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 100 [Mika Vandborg] *
49 [Love Shop] *
1 [Henrik Hall] *
1 [Jens Unmack] *
1 [Mikael Dehn] *
1 [Mikkel Damgaard] *
1 [Nis Tyrrestrup] *
36 [Scatterbrain] *
1 [Gekko (9)] *
4 [Glen Cummings] *
4 [Paul Nieder] *
4 [Tommy Christ] *
1 [Guy Brogna] *
1 [Mike Boyko]
)
= 101.61M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Mika Vandborg] *
1 [Love Shop] *
1 [Henrik Hall] *
1 [Jens Unmack] *
1 [Mikael Dehn] *
1 [Mikkel Damgaard] *
1 [Nis Tyrrestrup] *
1 [Scatterbrain] *
1 [Gekko (9)] *
1 [Glen Cummings] *
1 [Paul Nieder] *
1 [Tommy Christ] *
1 [Guy Brogna] *
1 [Mike Boyko]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
14
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Mika Vandborg 46.73%Love Shop 22.90%Scatterbrain 16.82%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)