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 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 2 *
( 112 [Mullion] *
90 [Nursing homes] *
4 [Nursing home at Ostoja Pokoju in Bytom] *
1 [COVID-19 guideline cartoons by Jutta Schmidt and Sabine Held] *
1 [Dar Saura] *
1 [Innellan Care Home] *
1 [Saint Teresa Jornet Home Little Sisters of the Elderly] *
1 [11 Sprzymierzonych Street in Duszniki-Zdrój] *
1 [The Metropolitan Laboratory & Nursing Home Limited] *
1 [Woodlands care home, Bo'ness] *
1 [Marconi Poldhu wireless station] *
1 [The Marconi Centre] *
1 [Poldhu Cove, Cornwall] *
1 [Poldhu Point, Cornwall]
)
= 80.6K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 1.75 [Mullion] *
1.11 [Nursing homes] *
1 [Nursing home at Ostoja Pokoju in Bytom] *
1 [COVID-19 guideline cartoons by Jutta Schmidt and Sabine Held] *
1 [Dar Saura] *
1 [Innellan Care Home] *
1 [Saint Teresa Jornet Home Little Sisters of the Elderly] *
1 [11 Sprzymierzonych Street in Duszniki-Zdrój] *
1 [The Metropolitan Laboratory & Nursing Home Limited] *
1 [Woodlands care home, Bo'ness] *
1 [Marconi Poldhu wireless station] *
1 [The Marconi Centre] *
1 [Poldhu Cove, Cornwall] *
1 [Poldhu Point, Cornwall]
)
= 3.89
Outbound
2
Tags on post
Inbound
1
Posts tagging this
Connections
14
Total nodes
Base Node Strength
2
Base Node Influence
2
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Mullion 51.14%Nursing homes 41.10%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)