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 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 15 *
( 6 [Bargo, New South Wales] *
12 [Exeter, New South Wales] *
49 [Southern Highlands, New South Wales] *
1 [Corbett Gardens] *
1 [Parks in Bowral, New South Wales] *
1 [Avoca, New South Wales] *
1 [Burrawang, New South Wales] *
4 [New Berrima, New South Wales] *
1 [Thirlmere Lakes National Park] *
1 [Bowral railway station] *
2 [Bowral railway station, New South Wales]
)
= 423.4K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.6667 *
( 1.5 [Bargo, New South Wales] *
1.33 [Exeter, New South Wales] *
1 [Southern Highlands, New South Wales] *
1 [Corbett Gardens] *
1 [Parks in Bowral, New South Wales] *
1 [Avoca, New South Wales] *
1 [Burrawang, New South Wales] *
1 [New Berrima, New South Wales] *
1 [Thirlmere Lakes National Park] *
1 [Bowral railway station] *
0.5 [Bowral railway station, New South Wales]
)
= 1.67
Outbound
5
Tags on post
Inbound
3
Posts tagging this
Connections
11
Total nodes
Base Node Strength
15
Base Node Influence
1.6667
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Southern Highlands, New South Wales 52.13%Exeter, New South Wales 12.77%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
