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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 16 [Thomas Luks] *
81 [Enrico Gatti] *
484 [Les Talens Lyriques] *
9 [Adrian Chamorro] *
1 [Alain Viau] *
4 [Atsushi Sakaà ̄] *
1 [Attilio Motzo] *
1 [Barry Sargent] *
1 [Benoît Weeger] *
4 [Catherine Girard] *
1 [Charles Zebley] *
1 [Charlotte Grattard] *
1 [Christine Freysmuth] *
9 [Christophe Coin] *
36 [Christophe Rousset] *
16 [Claude Wassmer] *
1 [Benoît Douchy] *
1 [Bérengà ̈re Maillard] *
1 [Brigitte Clément] *
1 [Cécile Mille] *
1 [Christian Moreaux] *
1 [Benoît Douchy]
)
= 468.25B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Thomas Luks] *
1 [Enrico Gatti] *
1 [Les Talens Lyriques] *
1 [Adrian Chamorro] *
1 [Alain Viau] *
1 [Atsushi Sakaà ̄] *
1 [Attilio Motzo] *
1 [Barry Sargent] *
1 [Benoît Weeger] *
1 [Catherine Girard] *
1 [Charles Zebley] *
1 [Charlotte Grattard] *
1 [Christine Freysmuth] *
1 [Christophe Coin] *
1 [Christophe Rousset] *
1 [Claude Wassmer] *
1 [Benoît Douchy] *
1 [Bérengà ̈re Maillard] *
1 [Brigitte Clément] *
1 [Cécile Mille] *
1 [Christian Moreaux] *
1 [Benoît Douchy]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
22
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Les Talens Lyriques 71.92%Enrico Gatti 12.04%Christophe Rousset 5.35%Thomas Luks 2.38%Claude Wassmer 2.38%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)