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, 11) = 11
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 11 * 6 = 66
Base_Influence (IV) = $inbound / $outbound = 11 / 6 = 1.8333
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 66 *
( 20 [St Helens] *
24 [Kew] *
20 [Churchtown, Merseyside] *
4 [Kew, Merseyside] *
1 [Southport Beach] *
1 [Marine Way Bridge] *
4 [Queen Victoria statue] *
1 [Mortlake Crematorium] *
1 [Meols Hall] *
1 [St Cuthbert's Church, Churchtown, Merseyside] *
1 [St Patrick's Church, Churchtown, Merseyside]
)
= 10.14M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.8333 *
( 5 [St Helens] *
2.67 [Kew] *
1.25 [Churchtown, Merseyside] *
1 [Kew, Merseyside] *
1 [Southport Beach] *
1 [Marine Way Bridge] *
1 [Queen Victoria statue] *
1 [Mortlake Crematorium] *
1 [Meols Hall] *
1 [St Cuthbert's Church, Churchtown, Merseyside] *
1 [St Patrick's Church, Churchtown, Merseyside]
)
= 30.56
Outbound
11
Tags on post
Inbound
6
Posts tagging this
Connections
11
Total nodes
Base Node Strength
66
Base Node Influence
1.8333
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Kew 16.67%Churchtown, Merseyside 13.89%St Helens 13.89%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Marshside, Merseyside
BROKEN LINKMonuments and memorials in Southport
BROKEN LINKParks in Southport
BROKEN LINKStreets in Southport
BROKEN LINK
