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, 6) = 6
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 1 = 6
Base_Influence (IV) = $inbound / $outbound = 6 / 1 = 6
// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 6 *
( 1 [Preston Excelsior Band] *
1 [Parks in Preston] *
1 [Plaques in Preston] *
1 [Tulketh Mill] *
1 [Ashton Park, Ashton on Ribble] *
1 [St Andrew's Church, Ashton-on-Ribble] *
1 [St Michael and All Angels Church, Ashton-on-Ribble] *
1 [Flag Market] *
1 [St Mary Magdalene's Church, Preston]
)
= 6
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 6 *
( 1 [Preston Excelsior Band] *
1 [Parks in Preston] *
1 [Plaques in Preston] *
1 [Tulketh Mill] *
1 [Ashton Park, Ashton on Ribble] *
1 [St Andrew's Church, Ashton-on-Ribble] *
1 [St Michael and All Angels Church, Ashton-on-Ribble] *
1 [Flag Market] *
1 [St Mary Magdalene's Church, Preston]
)
= 6
Outbound
6
Tags on post
Inbound
1
Posts tagging this
Connections
9
Total nodes
Base Node Strength
6
Base Node Influence
6
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Ashton-on-Ribble
BROKEN LINKFlag Market, Preston
BROKEN LINKParks in Preston, Lancashire
BROKEN LINK