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, 11) = 11
$outbound = max(1, 7) = 7
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 11 * 7 = 77
Base_Influence (IV) = $inbound / $outbound = 11 / 7 = 1.5714
// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 77 *
( 1 [East India Dock Basin] *
1 [Flags in the London Borough of Tower Hamlets] *
1 [Food in the London Borough of Tower Hamlets] *
1 [Housing in the London Borough of Tower Hamlets] *
1 [Night in the London Borough of Tower Hamlets] *
1 [Rubbish in the London Borough of Tower Hamlets] *
1 [Statistics of the London Borough of Tower Hamlets]
)
= 77
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5714 *
( 1 [East India Dock Basin] *
1 [Flags in the London Borough of Tower Hamlets] *
1 [Food in the London Borough of Tower Hamlets] *
1 [Housing in the London Borough of Tower Hamlets] *
1 [Night in the London Borough of Tower Hamlets] *
1 [Rubbish in the London Borough of Tower Hamlets] *
1 [Statistics of the London Borough of Tower Hamlets]
)
= 1.57
Outbound
11
Tags on post
Inbound
7
Posts tagging this
Connections
7
Total nodes
Base Node Strength
77
Base Node Influence
1.5714
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Art in the London Borough of Tower Hamlets
BROKEN LINKSports in the London Borough of Tower Hamlets
BROKEN LINKStructures in the London Borough of Tower Hamlets
BROKEN LINKVisitor attractions in the London Borough of Tower Hamlets
BROKEN LINK