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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 1 [Kate Ryan] *
49 [Marcel Vanthilt] *
361 [De Kippensoep Allstars] *
16 [A Brand] *
4 [Allan Muller] *
1 [Andrea Croonenberghs] *
1 [Bert Ostyn] *
1 [David Davidse] *
1 [Does De Wolf] *
4 [Eva Gysel] *
1 [Frank Vander Linden] *
1 [Gert Bettens] *
1 [Gunther Verspecht] *
1 [Hadise] *
1 [Jelle Cleymans] *
1 [Jeroen Meus] *
4 [Kapinga Gysel] *
1 [Leki] *
4 [Leonie Gysel]
)
= 72.45M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Kate Ryan] *
1 [Marcel Vanthilt] *
1 [De Kippensoep Allstars] *
1 [A Brand] *
1 [Allan Muller] *
1 [Andrea Croonenberghs] *
1 [Bert Ostyn] *
1 [David Davidse] *
1 [Does De Wolf] *
1 [Eva Gysel] *
1 [Frank Vander Linden] *
1 [Gert Bettens] *
1 [Gunther Verspecht] *
1 [Hadise] *
1 [Jelle Cleymans] *
1 [Jeroen Meus] *
1 [Kapinga Gysel] *
1 [Leki] *
1 [Leonie Gysel]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)De Kippensoep Allstars 79.34%Marcel Vanthilt 10.77%A Brand 3.52%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)