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, 4) = 4
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 3 = 12
Base_Influence (IV) = $inbound / $outbound = 4 / 3 = 1.3333
// 3. Exponential Network Values (accumulating 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 12 *
( 50 [Exeter] *
15 [Bowral, New South Wales] *
6 [Bargo, New South Wales] *
49 [Southern Highlands, New South Wales] *
1 [Heatherbrae's Pies, Exeter] *
1 [Avoca, New South Wales] *
1 [Burrawang, New South Wales] *
4 [New Berrima, New South Wales] *
1 [Thirlmere Lakes National Park] *
36 [Roland Casper] *
4 [Isca Dumnoniorum] *
1 [John Horden] *
1 [Rougemont Gardens] *
1 [Exeter railway station]
)
= 1.52B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.3333 *
( 2 [Exeter] *
1.67 [Bowral, New South Wales] *
1.5 [Bargo, New South Wales] *
1 [Southern Highlands, New South Wales] *
1 [Heatherbrae's Pies, Exeter] *
1 [Avoca, New South Wales] *
1 [Burrawang, New South Wales] *
1 [New Berrima, New South Wales] *
1 [Thirlmere Lakes National Park] *
1 [Roland Casper] *
1 [Isca Dumnoniorum] *
1 [John Horden] *
1 [Rougemont Gardens] *
1 [Exeter railway station]
)
= 6.67
Outbound
4
Tags on post
Inbound
3
Posts tagging this
Connections
14
Total nodes
Base Node Strength
12
Base Node Influence
1.3333
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Exeter 27.32%Southern Highlands, New South Wales 26.78%Roland Casper 19.67%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)