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 *
( 64 [Gary Tibbs] *
484 [Chris Spedding] *
400 [The Vibrators] *
9 [Nigel Bennett] *
16 [Darrell Bath] *
9 [John Ellis (2)] *
4 [Adrian Wyatt] *
1 [Ben Brierley] *
4 [Ian Carnochan] *
1 [Ian Woodcock] *
1 [Jon "Eddie" Edwards] *
1 [Malcolm Herring] *
1 [Mark Duncan (2)] *
1 [Mickie Owen] *
1 [Nick Peckham] *
1 [Noel Thompson] *
1 [Pat Collier] *
1 [Pete Honkamaki] *
1 [Phil Ram] *
1 [Robbie Tart]
)
= 256.93B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Gary Tibbs] *
1 [Chris Spedding] *
1 [The Vibrators] *
1 [Nigel Bennett] *
1 [Darrell Bath] *
1 [John Ellis (2)] *
1 [Adrian Wyatt] *
1 [Ben Brierley] *
1 [Ian Carnochan] *
1 [Ian Woodcock] *
1 [Jon "Eddie" Edwards] *
1 [Malcolm Herring] *
1 [Mark Duncan (2)] *
1 [Mickie Owen] *
1 [Nick Peckham] *
1 [Noel Thompson] *
1 [Pat Collier] *
1 [Pete Honkamaki] *
1 [Phil Ram] *
1 [Robbie Tart]
)
= 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)Chris Spedding 48.26%The Vibrators 39.88%Gary Tibbs 6.38%Darrell Bath 1.60%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)