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 *
( 36 [Hailee Steinfeld] *
9 [Ann Peebles] *
49 [Kevin Costner] *
16 [Tómas Lemarquis] *
361 [3 Days to Kill] *
64 [Amber Heard] *
25 [Eriq Ebouaney] *
9 [Connie Nielsen] *
1 [Alexis Jacquin] *
1 [Alison Valence] *
1 [Big John] *
1 [Bruno Ricci] *
1 [Frederick Malahieude] *
1 [Joakhim Sigue] *
1 [Jonas Bloquet] *
1 [Paolo Calia] *
1 [Richard Sammel] *
1 [Éric Naggar] *
1 [Michaël Vander-Meiren]
)
= 1.32T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Hailee Steinfeld] *
1 [Ann Peebles] *
1 [Kevin Costner] *
1 [Tómas Lemarquis] *
1 [3 Days to Kill] *
1 [Amber Heard] *
1 [Eriq Ebouaney] *
1 [Connie Nielsen] *
1 [Alexis Jacquin] *
1 [Alison Valence] *
1 [Big John] *
1 [Bruno Ricci] *
1 [Frederick Malahieude] *
1 [Joakhim Sigue] *
1 [Jonas Bloquet] *
1 [Paolo Calia] *
1 [Richard Sammel] *
1 [Éric Naggar] *
1 [Michaël Vander-Meiren]
)
= 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)3 Days to Kill 62.13%Amber Heard 11.02%Kevin Costner 8.43%Hailee Steinfeld 6.20%Eriq Ebouaney 4.30%Tómas Lemarquis 2.75%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)