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, 13) = 13
$outbound = max(1, 11) = 11
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 13 * 11 = 143
Base_Influence (IV) = $inbound / $outbound = 13 / 11 = 1.1818
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 143 *
( 1 [Géraud Jonquet] *
1 [Coats of arms of Verdun] *
1 [Jewish cemetery in Verdun] *
1 [Meuse River in Verdun] *
1 [Military parades in Verdun] *
1 [Nécropole nationale de Bevaux] *
1 [Nécropole nationale de Glorieux] *
4 [Nécropole nationale du Faubourg-Pavé, Verdun] *
1 [Panoramics of Verdun] *
1 [Statues in Verdun] *
1 [Streets in Verdun] *
1 [Nécropole nationale du Faubourg-Pavé]
)
= 572
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.1818 *
( 1 [Géraud Jonquet] *
1 [Coats of arms of Verdun] *
1 [Jewish cemetery in Verdun] *
1 [Meuse River in Verdun] *
1 [Military parades in Verdun] *
1 [Nécropole nationale de Bevaux] *
1 [Nécropole nationale de Glorieux] *
1 [Nécropole nationale du Faubourg-Pavé, Verdun] *
1 [Panoramics of Verdun] *
1 [Statues in Verdun] *
1 [Streets in Verdun] *
1 [Nécropole nationale du Faubourg-Pavé]
)
= 1.18
Outbound
13
Tags on post
Inbound
11
Posts tagging this
Connections
12
Total nodes
Base Node Strength
143
Base Node Influence
1.1818
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Monuments historiques in Verdun
BROKEN LINKPostcards of Verdun
BROKEN LINK