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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 9 [Stardust Ballroom] *
4 [Eamon Butterly] *
4 [Artane Band] *
4 [Artane] *
256 [Butterly Business Park] *
1 [Anne Butterly] *
1 [Artane Shopping Centre] *
1 [Butterly Business Park Limited] *
1 [Butterly family] *
1 [Delaney Estates] *
1 [Easydry] *
1 [Lidl] *
1 [Lifestyle Sports] *
1 [Maxol] *
1 [Ruskim Seafood] *
1 [Tesco] *
1 [Unicare Pharmacy] *
1 [D&G Property Maintenance] *
1 [Leinster Bathrooms & Stairlifts] *
1 [McDonald's]
)
= 1.33M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Stardust Ballroom] *
1 [Eamon Butterly] *
1 [Artane Band] *
1 [Artane] *
1 [Butterly Business Park] *
1 [Anne Butterly] *
1 [Artane Shopping Centre] *
1 [Butterly Business Park Limited] *
1 [Butterly family] *
1 [Delaney Estates] *
1 [Easydry] *
1 [Lidl] *
1 [Lifestyle Sports] *
1 [Maxol] *
1 [Ruskim Seafood] *
1 [Tesco] *
1 [Unicare Pharmacy] *
1 [D&G Property Maintenance] *
1 [Leinster Bathrooms & Stairlifts] *
1 [McDonald's]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
20
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Butterly Business Park 85.05%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)