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, 3) = 3
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 6 *
( 4 [Winchester Palace] *
2 [Old Thameside Inn] *
28 [Peckham Road, Southwark] *
6 [Camberwell Town Hall] *
25 [Peckham Road] *
4 [Albion Mills, Southwark] *
4 [Bank End, Southwark] *
4 [Globe Theatre, Southwark] *
4 [Rose Alley, Southwark] *
4 [Albion Mills] *
4 [Camberwell College of Arts] *
4 [South London Gallery] *
1 [Art in the London Borough of Southwark] *
1 [Flags in the London Borough of Southwark] *
1 [Food in the London Borough of Southwark] *
1 [Housing in the London Borough of Southwark] *
1 [Sports in the London Borough of Southwark] *
1 [Statistics of the London Borough of Southwark] *
1 [Structures in the London Borough of Southwark] *
1 [Visitor attractions in the London Borough of Southwark] *
300 [Southwark]
)
= 990.9B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 4 [Winchester Palace] *
2 [Old Thameside Inn] *
1.75 [Peckham Road, Southwark] *
1.5 [Camberwell Town Hall] *
1 [Peckham Road] *
1 [Albion Mills, Southwark] *
1 [Bank End, Southwark] *
1 [Globe Theatre, Southwark] *
1 [Rose Alley, Southwark] *
1 [Albion Mills] *
1 [Camberwell College of Arts] *
1 [South London Gallery] *
1 [Art in the London Borough of Southwark] *
1 [Flags in the London Borough of Southwark] *
1 [Food in the London Borough of Southwark] *
1 [Housing in the London Borough of Southwark] *
1 [Sports in the London Borough of Southwark] *
1 [Statistics of the London Borough of Southwark] *
1 [Structures in the London Borough of Southwark] *
1 [Visitor attractions in the London Borough of Southwark] *
0.75 [Southwark]
)
= 23.63
Outbound
3
Tags on post
Inbound
2
Posts tagging this
Connections
21
Total nodes
Base Node Strength
6
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Southwark 73.71%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)