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, 13) = 13
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 13 * 1 = 13
Base_Influence (IV) = $inbound / $outbound = 13 / 1 = 13
// 3. Exponential Network Values (accumulating 1 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 13 *
( 1 [Civil parishes in South Yorkshire]
)
= 13
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 13 *
( 1 [Civil parishes in South Yorkshire]
)
= 13
Outbound
13
Tags on post
Inbound
1
Posts tagging this
Connections
1
Total nodes
Base Node Strength
13
Base Node Influence
13
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Agriculture in South Yorkshire
BROKEN LINKArt in South Yorkshire
BROKEN LINKGraffiti in South Yorkshire
BROKEN LINKGraves in South Yorkshire
BROKEN LINKHigh Green, South Yorkshire
BROKEN LINKHousing in South Yorkshire
BROKEN LINKMines in South Yorkshire
BROKEN LINKMonuments and memorials in South Yorkshire
BROKEN LINKNight in South Yorkshire
BROKEN LINKSigns in South Yorkshire
BROKEN LINKSports in South Yorkshire
BROKEN LINKVisitor attractions in South Yorkshire
BROKEN LINK