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, 8) = 8
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 4 = 32
Base_Influence (IV) = $inbound / $outbound = 8 / 4 = 2
// 3. Exponential Network Values (accumulating 4 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 32 *
( 1 [Art in the London Borough of Hounslow] *
1 [Food in the London Borough of Hounslow] *
1 [Statistics of the London Borough of Hounslow] *
1 [Visitor attractions in the London Borough of Hounslow]
)
= 32
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 1 [Art in the London Borough of Hounslow] *
1 [Food in the London Borough of Hounslow] *
1 [Statistics of the London Borough of Hounslow] *
1 [Visitor attractions in the London Borough of Hounslow]
)
= 2
Outbound
8
Tags on post
Inbound
4
Posts tagging this
Connections
4
Total nodes
Base Node Strength
32
Base Node Influence
2
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Flags in the London Borough of Hounslow
BROKEN LINKHousing in the London Borough of Hounslow
BROKEN LINKSports in the London Borough of Hounslow
BROKEN LINKStructures in the London Borough of Hounslow
BROKEN LINK
