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 *
( 12 [Patrick Schwarzenegger] *
361 [The Staircase] *
16 [Colin Firth] *
16 [Joel McKinnon Miller] *
25 [Toni Collette] *
49 [Michael Stuhlbarg] *
36 [Sophie Turner] *
9 [Tim Guinee] *
9 [Parker Posey] *
1 [Cory Scott Allen] *
1 [Dane DeHaan] *
1 [Hannah Pniewski] *
16 [Juliette Binoche] *
1 [Justice Leak] *
1 [Maria Dizzia] *
25 [Odessa Young] *
1 [Robert Crayton] *
1 [Rosemarie DeWitt] *
1 [Vincent Vermignon]
)
= 1.58 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Patrick Schwarzenegger] *
1 [The Staircase] *
1 [Colin Firth] *
1 [Joel McKinnon Miller] *
1 [Toni Collette] *
1 [Michael Stuhlbarg] *
1 [Sophie Turner] *
1 [Tim Guinee] *
1 [Parker Posey] *
1 [Cory Scott Allen] *
1 [Dane DeHaan] *
1 [Hannah Pniewski] *
1 [Juliette Binoche] *
1 [Justice Leak] *
1 [Maria Dizzia] *
1 [Odessa Young] *
1 [Robert Crayton] *
1 [Rosemarie DeWitt] *
1 [Vincent Vermignon]
)
= 1.33
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)
0.17%
(1.58 × 1015 overall)
Dominant nodes (excluded from chart)The Staircase 61.92%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)