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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 4 [Jon Skibic] *
36 [Gigolo Aunts] *
1 [Steve Hurley] *
4 [Fred Eltringham] *
4 [Dave Gibbs] *
1 [Paul Brouwer] *
169 [Chris Ballew] *
9 [The Tycoons (2)] *
169 [Caspar Babypants] *
1 [Stonehoney] *
1 [The South Austin Moonlighters]
)
= 9.48B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Jon Skibic] *
1 [Gigolo Aunts] *
1 [Steve Hurley] *
1 [Fred Eltringham] *
1 [Dave Gibbs] *
1 [Paul Brouwer] *
1 [Chris Ballew] *
1 [The Tycoons (2)] *
1 [Caspar Babypants] *
1 [Stonehoney] *
1 [The South Austin Moonlighters]
)
= 1
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
11
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Chris Ballew 40.72%Caspar Babypants 40.72%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)