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, 7) = 7
$outbound = max(1, 7) = 7
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 7 = 49
Base_Influence (IV) = $inbound / $outbound = 7 / 7 = 1
// 3. Exponential Network Values (accumulating 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 49 *
( 108 [Pre-Pyrenees] *
1 [Erroibai] *
1 [Urrobi] *
1 [Massif du Granquet] *
1 [Piémont bigourdan] *
1 [Pre-Pyrenees mountain ranges] *
1 [Trull de Rin de Dalt] *
1 [Tuc de Montcalivert] *
1 [Teuleria de l'Isàvena] *
1 [Bridges in Gavet de la Conca] *
1 [Bunkers in Gavet de la Conca] *
1 [Coats of arms of Gavet de la Conca] *
1 [Cultural heritage monuments in Gavet de la Conca] *
1 [Flora of Gavet de la Conca] *
1 [Mountains of Gavet de la Conca]
)
= 5.3K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Pre-Pyrenees] *
1 [Erroibai] *
1 [Urrobi] *
1 [Massif du Granquet] *
1 [Piémont bigourdan] *
1 [Pre-Pyrenees mountain ranges] *
1 [Trull de Rin de Dalt] *
1 [Tuc de Montcalivert] *
1 [Teuleria de l'Isàvena] *
1 [Bridges in Gavet de la Conca] *
1 [Bunkers in Gavet de la Conca] *
1 [Coats of arms of Gavet de la Conca] *
1 [Cultural heritage monuments in Gavet de la Conca] *
1 [Flora of Gavet de la Conca] *
1 [Mountains of Gavet de la Conca]
)
= 1.33
Outbound
7
Tags on post
Inbound
7
Posts tagging this
Connections
15
Total nodes
Base Node Strength
49
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Pre-Pyrenees 63.16%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)