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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 25 [Mike Tirelli] *
64 [Messiah's Kiss] *
1 [Alexander Hitz] *
1 [Andreas Roschak] *
4 [Wayne Banks] *
1 [Eckhard Ostra] *
1 [Georg Kraft] *
1 [Messiahs Kiss - Dong Open Air 2017] *
144 [Persian Risk] *
25 [Phil Campbell] *
81 [Carl Sentance] *
9 [Graham Bath] *
9 [Steve Hopgood] *
4 [Jon Deverill] *
1 [Phil Lancaster] *
1 [Razzle] *
1 [Alex Lohfink] *
1 [Howie G (2)] *
1 [Nick Hughes (4)] *
1 [Razz (8)]
)
= 2.42T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Mike Tirelli] *
1 [Messiah's Kiss] *
1 [Alexander Hitz] *
1 [Andreas Roschak] *
1 [Wayne Banks] *
1 [Eckhard Ostra] *
1 [Georg Kraft] *
1 [Messiahs Kiss - Dong Open Air 2017] *
1 [Persian Risk] *
1 [Phil Campbell] *
1 [Carl Sentance] *
1 [Graham Bath] *
1 [Steve Hopgood] *
1 [Jon Deverill] *
1 [Phil Lancaster] *
1 [Razzle] *
1 [Alex Lohfink] *
1 [Howie G (2)] *
1 [Nick Hughes (4)] *
1 [Razz (8)]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Persian Risk 37.89%Carl Sentance 21.32%Messiah's Kiss 16.84%Mike Tirelli 6.58%Phil Campbell 6.58%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)