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, 10) = 10
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 5 = 50
Base_Influence (IV) = $inbound / $outbound = 10 / 5 = 2
// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 50 *
( 24 [Kew] *
16 [Churchtown, Merseyside] *
4 [Kew, Merseyside] *
1 [Southport Beach] *
1 [Marine Way Bridge] *
1 [Mortlake Crematorium] *
1 [Meols Hall] *
1 [St Cuthbert's Church, Churchtown, Merseyside] *
1 [St Patrick's Church, Churchtown, Merseyside]
)
= 76.8K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 2.67 [Kew] *
1 [Churchtown, Merseyside] *
1 [Kew, Merseyside] *
1 [Southport Beach] *
1 [Marine Way Bridge] *
1 [Mortlake Crematorium] *
1 [Meols Hall] *
1 [St Cuthbert's Church, Churchtown, Merseyside] *
1 [St Patrick's Church, Churchtown, Merseyside]
)
= 5.33
Outbound
10
Tags on post
Inbound
5
Posts tagging this
Connections
9
Total nodes
Base Node Strength
50
Base Node Influence
2
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Kew 24.00%Churchtown, Merseyside 16.00%
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
