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, 7) = 7
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 7 = 70
Base_Influence (IV) = $inbound / $outbound = 10 / 7 = 1.4286
// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 70 *
( 1 [Architecture of the London Borough of Barnet] *
1 [Flags in the London Borough of Barnet] *
1 [Housing in the London Borough of Barnet] *
1 [Statistics of the London Borough of Barnet] *
1 [Summers Lane Reuse and Recycling Centre] *
1 [Visitor attractions in the London Borough of Barnet] *
4 [Cricklewood] *
1 [Galtymore Club]
)
= 280
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.4286 *
( 1 [Architecture of the London Borough of Barnet] *
1 [Flags in the London Borough of Barnet] *
1 [Housing in the London Borough of Barnet] *
1 [Statistics of the London Borough of Barnet] *
1 [Summers Lane Reuse and Recycling Centre] *
1 [Visitor attractions in the London Borough of Barnet] *
1 [Cricklewood] *
1 [Galtymore Club]
)
= 1.43
Outbound
10
Tags on post
Inbound
7
Posts tagging this
Connections
8
Total nodes
Base Node Strength
70
Base Node Influence
1.4286
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Art in the London Borough of Barnet
BROKEN LINKFood in the London Borough of Barnet
BROKEN LINKStructures in the London Borough of Barnet
BROKEN LINK