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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 16 [Richard Berry] *
4 [Yemi Alade] *
1 [Daniel Auteuil] *
25 [Betsy Brandt] *
16 [Kristin Scott Thomas] *
400 [The Valet] *
9 [Alice Taglioni] *
1 [Dany Boon] *
1 [Gad Elmaleh] *
16 [Irina Ninova] *
1 [Jean-Yves Chilot] *
25 [Laurent Gamelon] *
4 [Michel Aumont] *
1 [Michel Jonasz] *
1 [Patrick Mille] *
1 [Philippe Beglia] *
16 [Philippe Magnan] *
1 [Virginie Ledoyen] *
1 [Michèle Garcia] *
4 [Noémie Lenoir]
)
= 9.44T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Richard Berry] *
1 [Yemi Alade] *
1 [Daniel Auteuil] *
1 [Betsy Brandt] *
1 [Kristin Scott Thomas] *
1 [The Valet] *
1 [Alice Taglioni] *
1 [Dany Boon] *
1 [Gad Elmaleh] *
1 [Irina Ninova] *
1 [Jean-Yves Chilot] *
1 [Laurent Gamelon] *
1 [Michel Aumont] *
1 [Michel Jonasz] *
1 [Patrick Mille] *
1 [Philippe Beglia] *
1 [Philippe Magnan] *
1 [Virginie Ledoyen] *
1 [Michèle Garcia] *
1 [Noémie Lenoir]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Valet 73.39%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)