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, 9) = 9
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 9 = 81
Base_Influence (IV) = $inbound / $outbound = 9 / 9 = 1
// 3. Exponential Network Values (accumulating 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 81 *
( 2 [Arcola, Grafton] *
2 [Shearwater, The Mullumbimby Steiner School] *
12 [Byron Bay] *
90 [Ballina] *
16 [Ballina, New South Wales] *
1 [Brunswick Heads, New South Wales] *
16 [Byron Bay, New South Wales] *
1 [Casino, New South Wales] *
9 [Grafton, New South Wales] *
16 [Kingscliff, New South Wales] *
4 [Kyogle Council] *
9 [Mullumbimby] *
1 [Richmond River] *
9 [Ballina Airport] *
4 [Brundah] *
4 [Byron Bay railway station] *
4 [Cape Byron Light] *
1 [Grafton Correctional Centre] *
1 [Kingscliff High School] *
1 [Mantra on Salt Beach] *
1 [Peppers Salt Resort & Spa] *
1 [Woodenbong] *
1 [Mullumbimby railway station]
)
= 267.48T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Arcola, Grafton] *
2 [Shearwater, The Mullumbimby Steiner School] *
1.33 [Byron Bay] *
1.11 [Ballina] *
1 [Ballina, New South Wales] *
1 [Brunswick Heads, New South Wales] *
1 [Byron Bay, New South Wales] *
1 [Casino, New South Wales] *
1 [Grafton, New South Wales] *
1 [Kingscliff, New South Wales] *
1 [Kyogle Council] *
1 [Mullumbimby] *
1 [Richmond River] *
1 [Ballina Airport] *
1 [Brundah] *
1 [Byron Bay railway station] *
1 [Cape Byron Light] *
1 [Grafton Correctional Centre] *
1 [Kingscliff High School] *
1 [Mantra on Salt Beach] *
1 [Peppers Salt Resort & Spa] *
1 [Woodenbong] *
1 [Mullumbimby railway station]
)
= 5.93
Outbound
9
Tags on post
Inbound
9
Posts tagging this
Connections
23
Total nodes
Base Node Strength
81
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Ballina 31.36%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
