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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 9 [Johnny Dee] *
49 [Pete Way] *
100 [Paul Raymond] *
25 [Paul Chapman] *
25 [Frank Noon] *
64 [Danny Vaughn] *
1 [Ian Muir] *
289 [Waysted] *
4 [Pete Way (2)] *
4 [John DiTeodoro] *
4 [Neil Shepherd (2)] *
4 [Paul Raymond (2)] *
1 [Andy Parker (3)] *
1 [Barry Bennedetta] *
1 [Erik Gamans] *
1 [Martin Gregory Smith] *
1 [Ronnie Kayfield]
)
= 130.51T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Johnny Dee] *
1 [Pete Way] *
1 [Paul Raymond] *
1 [Paul Chapman] *
1 [Frank Noon] *
1 [Danny Vaughn] *
1 [Ian Muir] *
1 [Waysted] *
1 [Pete Way (2)] *
1 [John DiTeodoro] *
1 [Neil Shepherd (2)] *
1 [Paul Raymond (2)] *
1 [Andy Parker (3)] *
1 [Barry Bennedetta] *
1 [Erik Gamans] *
1 [Martin Gregory Smith] *
1 [Ronnie Kayfield]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Waysted 49.49%Paul Raymond 17.12%Danny Vaughn 10.96%Pete Way 8.39%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
