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, 19) = 19
$outbound = max(1, 20) = 20
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 19 * 20 = 380
Base_Influence (IV) = $inbound / $outbound = 19 / 20 = 0.95
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 380 *
( 1 [Anne Cécile Cuniot] *
1 [Annie Challan] *
1 [Ariane Jacob] *
1 [Aurélie Bergerot] *
1 [Béatrice Barberon] *
1 [Caroline Lartigaud] *
1 [Cécile Hardouin] *
1 [Christian Burban] *
1 [Constantin Bogdanas] *
1 [Cyrille Jacquet] *
1 [Daniel Vagner] *
1 [Denys Viollet] *
1 [Dominique Henri Probst] *
1 [Eugène Masson] *
1 [Evelyne Corbin] *
1 [Fabien Rapaud] *
1 [Fabrice Leroux] *
1 [Francis Bouilly] *
1 [Franck Chicoisneau] *
1 [Eugà ̈ne Masson]
)
= 380
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.95 *
( 1 [Anne Cécile Cuniot] *
1 [Annie Challan] *
1 [Ariane Jacob] *
1 [Aurélie Bergerot] *
1 [Béatrice Barberon] *
1 [Caroline Lartigaud] *
1 [Cécile Hardouin] *
1 [Christian Burban] *
1 [Constantin Bogdanas] *
1 [Cyrille Jacquet] *
1 [Daniel Vagner] *
1 [Denys Viollet] *
1 [Dominique Henri Probst] *
1 [Eugène Masson] *
1 [Evelyne Corbin] *
1 [Fabien Rapaud] *
1 [Fabrice Leroux] *
1 [Francis Bouilly] *
1 [Franck Chicoisneau] *
1 [Eugà ̈ne Masson]
)
= 0.95
Outbound
19
Tags on post
Inbound
20
Posts tagging this
Connections
20
Total nodes
Base Node Strength
380
Base Node Influence
0.95
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)