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 24 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 400 [Atrocity] *
16 [Alla Fedynitch] *
9 [JB Van Der Wal] *
4 [Thorsten Bauer] *
9 [Pete Streit] *
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 [Frank Knodel] *
1 [Markus Knapp] *
1 [Michael Schwarz] *
1 [Oliver Klasen] *
1 [Richard Scharf] *
1 [Christian Lukhaup] *
4 [Mathias Röderer] *
289 [Leaves' Eyes] *
16 [Liv Kristine] *
9 [Elina Siirala] *
1 [Mathias Röderer]
)
= 2.58 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Atrocity] *
1 [Alla Fedynitch] *
1 [JB Van Der Wal] *
1 [Thorsten Bauer] *
1 [Pete Streit] *
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 [Frank Knodel] *
1 [Markus Knapp] *
1 [Michael Schwarz] *
1 [Oliver Klasen] *
1 [Richard Scharf] *
1 [Christian Lukhaup] *
1 [Mathias Röderer] *
1 [Leaves' Eyes] *
1 [Liv Kristine] *
1 [Elina Siirala] *
1 [Mathias Röderer]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
24
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.44%
(2.58 × 1019 overall)
Dominant nodes (excluded from chart)Atrocity 44.35%Leaves' Eyes 32.04%Moritz Neuner 8.98%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)