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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 12 *
( 2 [Anerley Town Hall] *
80 [Anerley] *
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 [Betts Park]
)
= 491.5K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.3333 *
( 2 [Anerley Town Hall] *
1.25 [Anerley] *
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 [Betts Park]
)
= 3.33
Outbound
4
Tags on post
Inbound
3
Posts tagging this
Connections
10
Total nodes
Base Node Strength
12
Base Node Influence
1.3333
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Anerley 70.18%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Anerley Road, London
BROKEN LINK