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 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 25 [Johnny Warman] *
81 [The Rubettes] *
121 [The Kursaal Flyers] *
4 [John Wicks (2)] *
4 [Barry Martin (4)] *
4 [Dave Hatfield] *
4 [Graeme Douglas] *
4 [Paul Shuttleworth] *
9 [Richie Bull] *
4 [Vic Collins] *
36 [Pub rock (United Kingdom)] *
64 [Kursaal Flyers]
)
= 83.24T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Johnny Warman] *
1 [The Rubettes] *
1 [The Kursaal Flyers] *
1 [John Wicks (2)] *
1 [Barry Martin (4)] *
1 [Dave Hatfield] *
1 [Graeme Douglas] *
1 [Paul Shuttleworth] *
1 [Richie Bull] *
1 [Vic Collins] *
1 [Pub rock (United Kingdom)] *
1 [Kursaal Flyers]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
12
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Kursaal Flyers 33.24%The Rubettes 22.25%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)