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, 16) = 16
$outbound = max(1, 16) = 16
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 16 * 16 = 256
Base_Influence (IV) = $inbound / $outbound = 16 / 16 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 256 *
( 1 [Didier Batard] *
1 [François Auger] *
1 [Georges Grunblatt] *
1 [Jannick Top] *
1 [Michel Ettori] *
1 [Patrick Gauthier] *
1 [Philibert Rossi] *
4 [Richard Pinhas] *
1 [Alain Bellaà ̄che] *
1 [Alain Renaud] *
1 [Arthur Narcy] *
1 [Aurore (6)] *
1 [Bernard Paganotti] *
1 [Florian Tatard] *
1 [François Auger] *
1 [Maurice G. Dantec] *
169 [Lard Free]
)
= 173.1K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Didier Batard] *
1 [François Auger] *
1 [Georges Grunblatt] *
1 [Jannick Top] *
1 [Michel Ettori] *
1 [Patrick Gauthier] *
1 [Philibert Rossi] *
1 [Richard Pinhas] *
1 [Alain Bellaà ̄che] *
1 [Alain Renaud] *
1 [Arthur Narcy] *
1 [Aurore (6)] *
1 [Bernard Paganotti] *
1 [Florian Tatard] *
1 [François Auger] *
1 [Maurice G. Dantec] *
1 [Lard Free]
)
= 1
Outbound
16
Tags on post
Inbound
16
Posts tagging this
Connections
17
Total nodes
Base Node Strength
256
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Lard Free 38.06%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)