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 [Lars Eidinger] *
16 [Juliette Binoche] *
9 [Kristen Stewart] *
324 [Clouds of Sils Maria] *
1 [Aljoscha Stadelmann] *
1 [Angela Winkler] *
1 [Benoit Peverelli] *
1 [Brady Corbet] *
1 [Claire Tran] *
1 [Gilles Tschudi] *
1 [Hanns Zischler] *
1 [Johnny Flynn] *
1 [Luise Berndt] *
1 [Peter Farkas] *
1 [Ricardia Bramley] *
1 [Stuart Manashil] *
4 [Nora Waldstätten] *
30 [Chloë Grace Moretz]
)
= 89.58M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Lars Eidinger] *
1 [Juliette Binoche] *
1 [Kristen Stewart] *
1 [Clouds of Sils Maria] *
1 [Aljoscha Stadelmann] *
1 [Angela Winkler] *
1 [Benoit Peverelli] *
1 [Brady Corbet] *
1 [Claire Tran] *
1 [Gilles Tschudi] *
1 [Hanns Zischler] *
1 [Johnny Flynn] *
1 [Luise Berndt] *
1 [Peter Farkas] *
1 [Ricardia Bramley] *
1 [Stuart Manashil] *
1 [Nora Waldstätten] *
0.8333 [Chloë Grace Moretz]
)
= 0.8333
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)Clouds of Sils Maria 78.64%Chloë Grace Moretz 7.28%Lars Eidinger 3.88%Juliette Binoche 3.88%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)