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Network Profile
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, 2) = 2
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 1 = 2
Base_Influence (IV) = $inbound / $outbound = 2 / 1 = 2
// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 2 *
( 72 [Basildon] *
1 [Laindon] *
1 [Basildon Meadows] *
1 [Dunton Wayletts] *
1 [Nevendon] *
1 [Streets in Basildon] *
1 [Vange] *
2 [Gloucester Park]
)
= 288
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 1.13 [Basildon] *
1 [Laindon] *
1 [Basildon Meadows] *
1 [Dunton Wayletts] *
1 [Nevendon] *
1 [Streets in Basildon] *
1 [Vange] *
0.5 [Gloucester Park]
)
= 1.13
Outbound
2
Tags on post
Inbound
1
Posts tagging this
Connections
8
Total nodes
Base Node Strength
2
Base Node Influence
2
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Basildon 87.80%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Jun 14, 11:42 PM
Basildon, Essex, United Kingdom
12
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