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, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 8 = 80
Base_Influence (IV) = $inbound / $outbound = 10 / 8 = 1.25
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 80 *
( 2 [Anerley Town Hall] *
12 [Anerley Road] *
4 [Anerley railway station] *
1 [Anerley Vale, London] *
4 [Maple Road, Penge] *
1 [Penge Road, Anerley] *
4 [Thicket Road, Penge] *
1 [Waldegrave Road, Anerley] *
4 [Thicket Road] *
1 [Roundels at Anerley station] *
1 [Maple Road] *
1 [Betts Park]
)
= 491.5K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.25 *
( 2 [Anerley Town Hall] *
1.33 [Anerley Road] *
1 [Anerley railway station] *
1 [Anerley Vale, London] *
1 [Maple Road, Penge] *
1 [Penge Road, Anerley] *
1 [Thicket Road, Penge] *
1 [Waldegrave Road, Anerley] *
1 [Thicket Road] *
1 [Roundels at Anerley station] *
1 [Maple Road] *
1 [Betts Park]
)
= 3.33
Outbound
10
Tags on post
Inbound
8
Posts tagging this
Connections
12
Total nodes
Base Node Strength
80
Base Node Influence
1.25
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Anerley Road, London
BROKEN LINKAnerley Station Road
BROKEN LINK