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, 10) = 10
$outbound = max(1, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 10 = 100
Base_Influence (IV) = $inbound / $outbound = 10 / 10 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 100 *
( 2 [Gravesend, New South Wales] *
20 [Gunnedah, New South Wales] *
30 [Gunnedah] *
4 [Ardglen, New South Wales] *
1 [Barraba, New South Wales] *
4 [Boggabri, New South Wales] *
4 [Carroll, New South Wales] *
4 [Curlewis, New South Wales] *
4 [Mullaley, New South Wales] *
1 [Nundle, New South Wales] *
4 [Werris Creek] *
1 [Ardglen] *
1 [Boggabri] *
4 [Cohens Bridge] *
4 [Gunnedah railway station] *
1 [Mullaley] *
1 [Parks in Werris Creek, New South Wales]
)
= 7.86B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Gravesend, New South Wales] *
1.25 [Gunnedah, New South Wales] *
1.2 [Gunnedah] *
1 [Ardglen, New South Wales] *
1 [Barraba, New South Wales] *
1 [Boggabri, New South Wales] *
1 [Carroll, New South Wales] *
1 [Curlewis, New South Wales] *
1 [Mullaley, New South Wales] *
1 [Nundle, New South Wales] *
1 [Werris Creek] *
1 [Ardglen] *
1 [Boggabri] *
1 [Cohens Bridge] *
1 [Gunnedah railway station] *
1 [Mullaley] *
1 [Parks in Werris Creek, New South Wales]
)
= 3