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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 225 [Alastair Galbraith] *
400 [The Renderers] *
9 [Robbie Yeats] *
4 [Brian Crook] *
4 [Maryrose Crook] *
4 [Greg Cairns] *
1 [Allan Thomasson] *
9 [Denise Roughan] *
1 [Haydn Jones] *
1 [Joanne Billesdon] *
1 [Johannes Contag] *
1 [John Billows] *
4 [John Chrisstoffels] *
1 [John Segovia] *
1 [Ligetti] *
1 [Michael Daly (2)] *
1 [Nathan Thompson] *
1 [Patrick Simmonds] *
1 [Peter Mitchell] *
1 [Richard Baker (9)]
)
= 1.87B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Alastair Galbraith] *
1 [The Renderers] *
1 [Robbie Yeats] *
1 [Brian Crook] *
1 [Maryrose Crook] *
1 [Greg Cairns] *
1 [Allan Thomasson] *
1 [Denise Roughan] *
1 [Haydn Jones] *
1 [Joanne Billesdon] *
1 [Johannes Contag] *
1 [John Billows] *
1 [John Chrisstoffels] *
1 [John Segovia] *
1 [Ligetti] *
1 [Michael Daly (2)] *
1 [Nathan Thompson] *
1 [Patrick Simmonds] *
1 [Peter Mitchell] *
1 [Richard Baker (9)]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Renderers 59.52%Alastair Galbraith 33.48%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)