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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 441 [Onslaught] *
361 [Jeff Williams] *
4 [James Perry] *
1 [Nige Rockett] *
1 [Sy Keeler] *
1 [Wayne Dorman] *
1 [Alan Jordan (2)] *
1 [Andy Rosser Davies] *
1 [David Garnett (2)] *
1 [James Hinder] *
1 [James Perry (14)] *
1 [Jason Stallard] *
1 [Jeff Williams (12)] *
4 [Mic Hourihan] *
1 [Neil Turbin] *
1 [Paul Davies (25)] *
1 [Paul Hill (10)] *
1 [Paul Mahoney (2)] *
1 [Roge Davies] *
1 [Steve Grice] *
9 [Tony O'Hora]
)
= 22.92M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Onslaught] *
1 [Jeff Williams] *
1 [James Perry] *
1 [Nige Rockett] *
1 [Sy Keeler] *
1 [Wayne Dorman] *
1 [Alan Jordan (2)] *
1 [Andy Rosser Davies] *
1 [David Garnett (2)] *
1 [James Hinder] *
1 [James Perry (14)] *
1 [Jason Stallard] *
1 [Jeff Williams (12)] *
1 [Mic Hourihan] *
1 [Neil Turbin] *
1 [Paul Davies (25)] *
1 [Paul Hill (10)] *
1 [Paul Mahoney (2)] *
1 [Roge Davies] *
1 [Steve Grice] *
1 [Tony O'Hora]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
21
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Onslaught 52.75%Jeff Williams 43.18%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)