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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 16 [Molder] *
4 [Kai Tschierschky] *
1 [Sascha Neuhardt] *
1 [Markus Fiedler] *
225 [Econoline Crush] *
36 [Brent Fitz] *
64 [Rhys Fulber] *
1 [Chris Meyers] *
1 [Daniel Yaremko] *
1 [David Sigmund] *
1 [Don Binns] *
1 [Gregg Leask] *
4 [Johnny Haro] *
1 [Kai Huppunen] *
1 [Ken Fleming] *
1 [Robbie Morfitt] *
1 [Scott Whalen] *
1 [Tom Ferris] *
1 [Trevor Hurst]
)
= 530.84M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Molder] *
1 [Kai Tschierschky] *
1 [Sascha Neuhardt] *
1 [Markus Fiedler] *
1 [Econoline Crush] *
1 [Brent Fitz] *
1 [Rhys Fulber] *
1 [Chris Meyers] *
1 [Daniel Yaremko] *
1 [David Sigmund] *
1 [Don Binns] *
1 [Gregg Leask] *
1 [Johnny Haro] *
1 [Kai Huppunen] *
1 [Ken Fleming] *
1 [Robbie Morfitt] *
1 [Scott Whalen] *
1 [Tom Ferris] *
1 [Trevor Hurst]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
19
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Econoline Crush 61.48%Rhys Fulber 17.49%Brent Fitz 9.84%Molder 4.37%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)