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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 16 [Kristin Scott Thomas] *
25 [Denis Ménochet] *
324 [In the House] *
36 [Emmanuelle Seigner] *
1 [Catherine Davenier] *
1 [Diana Stewart] *
1 [Ernst Umhauer] *
4 [Fabrice Luchini] *
1 [Jacques Bosc] *
1 [Marie Brunet] *
1 [Nadir Azni] *
1 [Ronny Pong] *
1 [Vincent Schmitt] *
1 [Yolande Moreau] *
1 [Bénérice Barbin] *
1 [Jana Bittnerová] *
1 [Jean-François Balmer] *
1 [Stéphanie Campion]
)
= 18.66M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Kristin Scott Thomas] *
1 [Denis Ménochet] *
1 [In the House] *
1 [Emmanuelle Seigner] *
1 [Catherine Davenier] *
1 [Diana Stewart] *
1 [Ernst Umhauer] *
1 [Fabrice Luchini] *
1 [Jacques Bosc] *
1 [Marie Brunet] *
1 [Nadir Azni] *
1 [Ronny Pong] *
1 [Vincent Schmitt] *
1 [Yolande Moreau] *
1 [Bénérice Barbin] *
1 [Jana Bittnerová] *
1 [Jean-François Balmer] *
1 [Stéphanie Campion]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)In the House 77.33%Emmanuelle Seigner 8.59%Denis Ménochet 5.97%Kristin Scott Thomas 3.82%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)