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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 9 [David Parkinson] *
1 [George Belanger] *
4 [Rikk Agnew] *
361 [Christian Death] *
49 [Eva O] *
25 [Johann Schumann] *
4 [Roger Alan Painter] *
1 [Constance Redgrave] *
1 [Gitane Demone] *
1 [Ian Thompson] *
1 [James Beam] *
1 [James McGearty] *
1 [Jason Frantz] *
1 [Kota (2)] *
1 [Kris Fuller] *
1 [Maitri] *
1 [Nate Hassan] *
1 [Nick Farr] *
1 [Steven Wright (3)]
)
= 63.68M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [David Parkinson] *
1 [George Belanger] *
1 [Rikk Agnew] *
1 [Christian Death] *
1 [Eva O] *
1 [Johann Schumann] *
1 [Roger Alan Painter] *
1 [Constance Redgrave] *
1 [Gitane Demone] *
1 [Ian Thompson] *
1 [James Beam] *
1 [James McGearty] *
1 [Jason Frantz] *
1 [Kota (2)] *
1 [Kris Fuller] *
1 [Maitri] *
1 [Nate Hassan] *
1 [Nick Farr] *
1 [Steven Wright (3)]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Christian Death 77.47%Eva O 10.52%Johann Schumann 5.36%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)