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 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 12 [Brian Turrington] *
49 [Cha Nicholson] *
169 [The Count Bishops] *
25 [Steve Lewins] *
1 [Bob Burgus] *
1 [Dave Rotchelle] *
4 [Dave Tice] *
4 [Pat McMullan] *
16 [Paul Balbi] *
1 [Rob Murly] *
1 [Zenon Hierowski] *
9 [John Crippen] *
4 [Zenon De Fleur] *
36 [count bishops]
)
= 3.3T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Brian Turrington] *
1 [Cha Nicholson] *
1 [The Count Bishops] *
1 [Steve Lewins] *
1 [Bob Burgus] *
1 [Dave Rotchelle] *
1 [Dave Tice] *
1 [Pat McMullan] *
1 [Paul Balbi] *
1 [Rob Murly] *
1 [Zenon Hierowski] *
1 [John Crippen] *
1 [Zenon De Fleur] *
1 [count bishops]
)
= 1.33
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
14
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Count Bishops 50.30%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)