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, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 187 [temple bar] *
6 [The Dean Hotel] *
56 [sun studios] *
16 [workmans club] *
64 [Press Up Entertainment] *
1 [Russ Solomon] *
1 [Paddy McKillen .jr] *
1 [the Dean Hotel Cork] *
1 [the Devlin Hotel] *
1 [the Mayson Hotel] *
9 [dublin wax museum] *
9 [Temple Lane] *
1 [Sunlight Chambers] *
1 [The Oliver St. John Gogarty] *
1 [St Winifred’s Well] *
1 [Asdill's Row, Dublin] *
1 [Bloom's Hotel, Dublin] *
1 [Merchants' Arch, Dublin] *
1 [Price's Lane, Dublin]
)
= 20.85B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.55 [temple bar] *
1.5 [The Dean Hotel] *
1.14 [sun studios] *
1 [workmans club] *
1 [Press Up Entertainment] *
1 [Russ Solomon] *
1 [Paddy McKillen .jr] *
1 [the Dean Hotel Cork] *
1 [the Devlin Hotel] *
1 [the Mayson Hotel] *
1 [dublin wax museum] *
1 [Temple Lane] *
1 [Sunlight Chambers] *
1 [The Oliver St. John Gogarty] *
1 [St Winifred’s Well] *
1 [Asdill's Row, Dublin] *
1 [Bloom's Hotel, Dublin] *
1 [Merchants' Arch, Dublin] *
1 [Price's Lane, Dublin]
)
= 2.65
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
19
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)temple bar 51.52%Press Up Entertainment 17.63%sun studios 15.43%workmans club 4.41%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)