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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 25 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 4 [Folkearth] *
1 [Hildr Valkyrie] *
49 [Shadowland] *
49 [Karl Groom] *
9 [Ian Salmon] *
81 [Clive Nolan] *
1 [Mark Westwood] *
1 [Mike Varty] *
1 [Nick Harradence] *
196 [Stormhammer] *
1 [aequitaS (2)] *
1 [Alex Heigl] *
1 [Chris Widmann] *
1 [Django Schuster] *
1 [Horst Tessmann] *
1 [Johannes Lang] *
1 [Lukas Lobnig] *
1 [Manny Ewender] *
1 [Markus Heindl] *
1 [Michael Schinkel] *
1 [Mike Zotter] *
1 [Tommy Lion] *
1 [Martina Schöller] *
1 [Beyond Pleasure] *
1 [Van Langen]
)
= 34.31B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Folkearth] *
1 [Hildr Valkyrie] *
1 [Shadowland] *
1 [Karl Groom] *
1 [Ian Salmon] *
1 [Clive Nolan] *
1 [Mark Westwood] *
1 [Mike Varty] *
1 [Nick Harradence] *
1 [Stormhammer] *
1 [aequitaS (2)] *
1 [Alex Heigl] *
1 [Chris Widmann] *
1 [Django Schuster] *
1 [Horst Tessmann] *
1 [Johannes Lang] *
1 [Lukas Lobnig] *
1 [Manny Ewender] *
1 [Markus Heindl] *
1 [Michael Schinkel] *
1 [Mike Zotter] *
1 [Tommy Lion] *
1 [Martina Schöller] *
1 [Beyond Pleasure] *
1 [Van Langen]
)
= 1
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
25
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Stormhammer 45.37%Clive Nolan 18.75%Shadowland 11.34%Karl Groom 11.34%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)