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, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 1 = 2
Base_Influence (IV) = $inbound / $outbound = 2 / 1 = 2
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 2 *
( 20 [Gunnedah, New South Wales] *
100 [North West Slopes] *
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 [Imperial Paper Mills WWI Memorial, Gravesend] *
1 [Norfolk Road Pillar Box, Gravesend]
)
= 16.38M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 1.25 [Gunnedah, New South Wales] *
1 [North West Slopes] *
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 [Imperial Paper Mills WWI Memorial, Gravesend] *
1 [Norfolk Road Pillar Box, Gravesend]
)
= 2.5
Outbound
2
Tags on post
Inbound
1
Posts tagging this
Connections
12
Total nodes
Base Node Strength
2
Base Node Influence
2
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)North West Slopes 66.67%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)