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, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 9 = 90
Base_Influence (IV) = $inbound / $outbound = 10 / 9 = 1.1111
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 90 *
( 1 [Moyland Ballroom] *
4 [Dara Calleary] *
1 [Seán Calleary] *
1 [Ballina Chamber of Commerce] *
1 [Kilberry] *
1 [Ballina railway station] *
16 [Ballina, New South Wales] *
9 [Ballina Airport] *
4 [Brundah] *
1 [St Muredach's Cathedral, Ballina] *
81 [Northern Rivers] *
1 [Aircraft at Ballina Airport]
)
= 16.8M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.1111 *
( 1 [Moyland Ballroom] *
1 [Dara Calleary] *
1 [Seán Calleary] *
1 [Ballina Chamber of Commerce] *
1 [Kilberry] *
1 [Ballina railway station] *
1 [Ballina, New South Wales] *
1 [Ballina Airport] *
1 [Brundah] *
1 [St Muredach's Cathedral, Ballina] *
1 [Northern Rivers] *
1 [Aircraft at Ballina Airport]
)
= 1.11
Outbound
10
Tags on post
Inbound
9
Posts tagging this
Connections
12
Total nodes
Base Node Strength
90
Base Node Influence
1.1111
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Northern Rivers 38.39%Ballina, New South Wales 7.58%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
