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, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 8 [Dajarra, Queensland] *
2 [Three Rivers, Queensland] *
15 [Cloncurry, Queensland] *
6 [Outback] *
72 [Shire of Cloncurry] *
49 [Alice Springs region] *
4 [Gulf Country] *
9 [Selwyn, Queensland] *
4 [Malbon, Queensland] *
1 [Duchess, Queensland]
)
= 2.93B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Dajarra, Queensland] *
2 [Three Rivers, Queensland] *
1.67 [Cloncurry, Queensland] *
1.5 [Outback] *
1.13 [Shire of Cloncurry] *
1 [Alice Springs region] *
1 [Gulf Country] *
1 [Selwyn, Queensland] *
1 [Malbon, Queensland] *
1 [Duchess, Queensland]
)
= 11.25
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
10
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Shire of Cloncurry 41.38%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
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