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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 1 [Angel Nation] *
1 [EnkElination] *
289 [Leaves' Eyes] *
16 [Alla Fedynitch] *
16 [Liv Kristine] *
9 [JB Van Der Wal] *
4 [Thorsten Bauer] *
9 [Pete Streit] *
4 [Alexander Krull] *
4 [Chris Lukhaup] *
9 [Joris Nijenhuis] *
4 [Martin Schmidt (3)] *
81 [Moritz Neuner] *
4 [Micki Richter] *
4 [Roland Navratil] *
4 [Sander Van Der Meer] *
25 [Seven Antonopoulos] *
1 [Mathias Röderer] *
4 [Mathias Röderer]
)
= 6.44 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Angel Nation] *
1 [EnkElination] *
1 [Leaves' Eyes] *
1 [Alla Fedynitch] *
1 [Liv Kristine] *
1 [JB Van Der Wal] *
1 [Thorsten Bauer] *
1 [Pete Streit] *
1 [Alexander Krull] *
1 [Chris Lukhaup] *
1 [Joris Nijenhuis] *
1 [Martin Schmidt (3)] *
1 [Moritz Neuner] *
1 [Micki Richter] *
1 [Roland Navratil] *
1 [Sander Van Der Meer] *
1 [Seven Antonopoulos] *
1 [Mathias Röderer] *
1 [Mathias Röderer]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
19
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.81%
(6.44 × 1016 overall)
Dominant nodes (excluded from chart)Leaves' Eyes 58.03%Moritz Neuner 16.27%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
