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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 169 [Agressor] *
9 [Pierrick Valence] *
256 [Romain Goulon] *
4 [Thierry Pinck] *
4 [Pierre Schaffner] *
1 [Jean Luc Falsini] *
1 [Jean Maurice Libeer] *
1 [Jim Garros] *
1 [Joel Guigou] *
1 [Laurent Luret] *
1 [Manu Ragot] *
1 [Stéphane Guégan] *
1 [Steiphen Gwegwam] *
49 [Loudblast] *
64 [Frédéric Leclercq] *
4 [Stéphane Buriez] *
1 [Alexandre Lenormand] *
1 [Joris Terrier] *
1 [Nicolas Leclercq]
)
= 312.6B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Agressor] *
1 [Pierrick Valence] *
1 [Romain Goulon] *
1 [Thierry Pinck] *
1 [Pierre Schaffner] *
1 [Jean Luc Falsini] *
1 [Jean Maurice Libeer] *
1 [Jim Garros] *
1 [Joel Guigou] *
1 [Laurent Luret] *
1 [Manu Ragot] *
1 [Stéphane Guégan] *
1 [Steiphen Gwegwam] *
1 [Loudblast] *
1 [Frédéric Leclercq] *
1 [Stéphane Buriez] *
1 [Alexandre Lenormand] *
1 [Joris Terrier] *
1 [Nicolas Leclercq]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
19
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Romain Goulon 44.60%Agressor 29.44%Frédéric Leclercq 11.15%Loudblast 8.54%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)