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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 64 [Werrason] *
289 [Wenge Musica Maison Mère] *
9 [Aimelia Lias] *
1 [Adjani Sesele] *
9 [Adolphe Dominguez] *
1 [Ali Mbonda] *
1 [Baby Ndombe] *
1 [Bebe Jitrois] *
1 [Bill Clinton Kalonji] *
1 [Café Roum] *
1 [Celeo Scram] *
1 [Deplick Pomba] *
1 [Didier Lacoste] *
9 [Didier Masela] *
1 [Eboa Lotin (2)] *
1 [Japonais Maladi] *
1 [Jdt Mulopwe]
)
= 13.48M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Werrason] *
1 [Wenge Musica Maison Mère] *
1 [Aimelia Lias] *
1 [Adjani Sesele] *
1 [Adolphe Dominguez] *
1 [Ali Mbonda] *
1 [Baby Ndombe] *
1 [Bebe Jitrois] *
1 [Bill Clinton Kalonji] *
1 [Café Roum] *
1 [Celeo Scram] *
1 [Deplick Pomba] *
1 [Didier Lacoste] *
1 [Didier Masela] *
1 [Eboa Lotin (2)] *
1 [Japonais Maladi] *
1 [Jdt Mulopwe]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Wenge Musica Maison Mère 73.54%Werrason 16.28%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)