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 *
( 4 [Eva Gysel] *
4 [Kapinga Gysel] *
4 [Leonie Gysel] *
9 [Benjamin Boutreur] *
4 [Hugo Boogaerts] *
4 [Kobe Proesmans] *
49 [Stef Kamil Carlens] *
289 [Zita Swoon] *
81 [Aarich Jespers] *
1 [Amel Serra Garcia] *
25 [Bjorn Eriksson] *
1 [Jeroen Baert] *
49 [Joris Caluwaerts] *
100 [Tom Pintens] *
4 [Tomas de Smet] *
1 [Wim De Busser] *
1 [Yumika Lecluyze]
)
= 5.18 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Eva Gysel] *
1 [Kapinga Gysel] *
1 [Leonie Gysel] *
1 [Benjamin Boutreur] *
1 [Hugo Boogaerts] *
1 [Kobe Proesmans] *
1 [Stef Kamil Carlens] *
1 [Zita Swoon] *
1 [Aarich Jespers] *
1 [Amel Serra Garcia] *
1 [Bjorn Eriksson] *
1 [Jeroen Baert] *
1 [Joris Caluwaerts] *
1 [Tom Pintens] *
1 [Tomas de Smet] *
1 [Wim De Busser] *
1 [Yumika Lecluyze]
)
= 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)
0.16%
(5.18 × 1015 overall)
Dominant nodes (excluded from chart)Zita Swoon 45.80%Tom Pintens 15.85%Aarich Jespers 12.84%Stef Kamil Carlens 7.77%Joris Caluwaerts 7.77%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)