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 *
( 20 [Colin Friels] *
16 [James Marshall] *
361 [The Shaft] *
25 [Aaron Jeffery] *
1 [Brett Partridge] *
25 [Catherine McClements] *
1 [Dominic Bianco] *
1 [Enrico Babic] *
1 [Gypsy Dorney] *
1 [Jamie Jackson] *
25 [Jeremy Callaghan] *
1 [Peter Bensley] *
1 [Peter Carroll] *
1 [Richard Healy] *
1 [Andrew S. Gilbert] *
1 [Scott Burgess] *
1 [Sophie Heathcote] *
1 [Toni Scanlan] *
4 [Jay Laga'aia]
)
= 7.22B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Colin Friels] *
1 [James Marshall] *
1 [The Shaft] *
1 [Aaron Jeffery] *
1 [Brett Partridge] *
1 [Catherine McClements] *
1 [Dominic Bianco] *
1 [Enrico Babic] *
1 [Gypsy Dorney] *
1 [Jamie Jackson] *
1 [Jeremy Callaghan] *
1 [Peter Bensley] *
1 [Peter Carroll] *
1 [Richard Healy] *
1 [Andrew S. Gilbert] *
1 [Scott Burgess] *
1 [Sophie Heathcote] *
1 [Toni Scanlan] *
1 [Jay Laga'aia]
)
= 1.25
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)The Shaft 73.82%Aaron Jeffery 5.11%Catherine McClements 5.11%Jeremy Callaghan 5.11%Colin Friels 4.09%James Marshall 3.27%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)