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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 2 *
( 2 [Marc Canlers] *
2 [Sylvain Bégot] *
1 [Alexandre Kohler] *
1 [David Verbecq] *
1 [Loà ̄c Malassagne] *
1 [Nathalie Bonnaud] *
1 [Nicolas Joyeux (2)] *
121 [Monolithe] *
4 [Benoît Blin] *
1 [Kristofer Lorent] *
1 [Laurent Desvignes] *
1 [Matthieu Marchand] *
4 [Nicolas Chevrollier] *
1 [Olivier Defives] *
9 [Richard Loudin] *
4 [Thibault Faucher]
)
= 557.6K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 2 [Marc Canlers] *
2 [Sylvain Bégot] *
1 [Alexandre Kohler] *
1 [David Verbecq] *
1 [Loà ̄c Malassagne] *
1 [Nathalie Bonnaud] *
1 [Nicolas Joyeux (2)] *
1 [Monolithe] *
1 [Benoît Blin] *
1 [Kristofer Lorent] *
1 [Laurent Desvignes] *
1 [Matthieu Marchand] *
1 [Nicolas Chevrollier] *
1 [Olivier Defives] *
1 [Richard Loudin] *
1 [Thibault Faucher]
)
= 8
Outbound
2
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
2
Base Node Influence
2
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Monolithe 77.07%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)