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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 81 [Stefan Schwarzmann] *
400 [Krokus] *
81 [Carl Sentance] *
36 [Marc Storace] *
1 [Fernando von Arb] *
9 [Mandy Meyer] *
9 [Peter Haas] *
1 [Chris von Rohr] *
4 [Patrick Aeby] *
4 [Andy Tanas] *
4 [Dani Crivelli] *
1 [Dominique Favez] *
4 [Flavio Mezzodi] *
256 [Frutig] *
1 [Henry Freis] *
1 [Jeff Klaven] *
16 [Many Maurer] *
1 [Peter Richard (3)] *
1 [Björn Lodin] *
1 [Krokus - Hellfest 2013]
)
= 8.02 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Stefan Schwarzmann] *
1 [Krokus] *
1 [Carl Sentance] *
1 [Marc Storace] *
1 [Fernando von Arb] *
1 [Mandy Meyer] *
1 [Peter Haas] *
1 [Chris von Rohr] *
1 [Patrick Aeby] *
1 [Andy Tanas] *
1 [Dani Crivelli] *
1 [Dominique Favez] *
1 [Flavio Mezzodi] *
1 [Frutig] *
1 [Henry Freis] *
1 [Jeff Klaven] *
1 [Many Maurer] *
1 [Peter Richard (3)] *
1 [Björn Lodin] *
1 [Krokus - Hellfest 2013]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.11%
(8.02 × 1015 overall)
Dominant nodes (excluded from chart)Krokus 43.81%Frutig 28.04%Stefan Schwarzmann 8.87%Carl Sentance 8.87%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)