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, 13) = 13
$outbound = max(1, 13) = 13
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 13 * 13 = 169
Base_Influence (IV) = $inbound / $outbound = 13 / 13 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 169 *
( 256 [HELDON] *
4 [Richard Pinhas] *
4 [Urban Sax] *
36 [Gilbert Artman] *
1 [Catalogue] *
400 [CLEARLIGHT] *
4 [Delired Cameleon Family] *
1 [Komintern] *
1 [Alain Audat] *
1 [Antoine Duvernet] *
1 [Bernard Weber] *
1 [Dominique Triloff] *
1 [Jean-Jacques Miette] *
1 [Jean-Pierre Thirault] *
1 [Philippe Bolliet] *
1 [Xavier Baulleret] *
1 [Yves Lanes] *
1 [François Mativet] *
1 [Hervé Eyhani]
)
= 39.87B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [HELDON] *
1 [Richard Pinhas] *
1 [Urban Sax] *
1 [Gilbert Artman] *
1 [Catalogue] *
1 [CLEARLIGHT] *
1 [Delired Cameleon Family] *
1 [Komintern] *
1 [Alain Audat] *
1 [Antoine Duvernet] *
1 [Bernard Weber] *
1 [Dominique Triloff] *
1 [Jean-Jacques Miette] *
1 [Jean-Pierre Thirault] *
1 [Philippe Bolliet] *
1 [Xavier Baulleret] *
1 [Yves Lanes] *
1 [François Mativet] *
1 [Hervé Eyhani]
)
= 1
Outbound
13
Tags on post
Inbound
13
Posts tagging this
Connections
19
Total nodes
Base Node Strength
169
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)CLEARLIGHT 45.15%HELDON 28.89%Gilbert Artman 4.06%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)