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, 4) = 4
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 3 = 12
Base_Influence (IV) = $inbound / $outbound = 4 / 3 = 1.3333
// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 12 *
( 2 [Paddington Green Police Station] *
2 [Statue of Sarah Siddons, Paddington Green] *
4 [Metropolitan Borough of Paddington] *
4 [Paddington Town Hall] *
25 [Paddington Green] *
1 [St Mary Paddington Green] *
1 [Statue of Sarah Siddons] *
1 [Paddington Green Children's Hospital]
)
= 19.2K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.3333 *
( 2 [Paddington Green Police Station] *
2 [Statue of Sarah Siddons, Paddington Green] *
1 [Metropolitan Borough of Paddington] *
1 [Paddington Town Hall] *
1 [Paddington Green] *
1 [St Mary Paddington Green] *
1 [Statue of Sarah Siddons] *
1 [Paddington Green Children's Hospital]
)
= 5.33
Outbound
4
Tags on post
Inbound
3
Posts tagging this
Connections
8
Total nodes
Base Node Strength
12
Base Node Influence
1.3333
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Paddington Green 48.08%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Paddington Green, London
BROKEN LINK
