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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 256 [New Model Army] *
25 [Ricky Warwick] *
1 [Stuart Morrow] *
4 [Dave Blomberg] *
4 [Jason Harris] *
9 [Adrian Portas] *
1 [Ceri Monger] *
1 [Dean White] *
4 [Ed Alleyne Johnson] *
1 [Justin Sullivan] *
1 [Marshall Gill] *
9 [Peter Nice] *
1 [Phil Tompkins] *
1 [Rob Waddington (2)] *
1 [Robert Heaton] *
1 [Shir Ran Yinon]
)
= 33.18M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [New Model Army] *
1 [Ricky Warwick] *
1 [Stuart Morrow] *
1 [Dave Blomberg] *
1 [Jason Harris] *
1 [Adrian Portas] *
1 [Ceri Monger] *
1 [Dean White] *
1 [Ed Alleyne Johnson] *
1 [Justin Sullivan] *
1 [Marshall Gill] *
1 [Peter Nice] *
1 [Phil Tompkins] *
1 [Rob Waddington (2)] *
1 [Robert Heaton] *
1 [Shir Ran Yinon]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)New Model Army 79.75%Ricky Warwick 7.79%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)