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, 5) = 5
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 3 = 15
Base_Influence (IV) = $inbound / $outbound = 5 / 3 = 1.6667
// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 15 *
( 2 [Three Rivers, Queensland] *
6 [Outback] *
6 [Dajarra, Queensland] *
42 [Shire of Cloncurry] *
1 [Gulf Country] *
4 [Selwyn, Queensland] *
1 [Cloncurry Courthouse] *
1 [Cloncurry railway station] *
1 [Cloncurry Post Office]
)
= 181.4K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.6667 *
( 2 [Three Rivers, Queensland] *
1.5 [Outback] *
1.5 [Dajarra, Queensland] *
1.17 [Shire of Cloncurry] *
1 [Gulf Country] *
1 [Selwyn, Queensland] *
1 [Cloncurry Courthouse] *
1 [Cloncurry railway station] *
1 [Cloncurry Post Office]
)
= 8.75
Outbound
5
Tags on post
Inbound
3
Posts tagging this
Connections
9
Total nodes
Base Node Strength
15
Base Node Influence
1.6667
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Shire of Cloncurry 53.16%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Hotels and pubs in Cloncurry
BROKEN LINK