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 *
( 30 [Jason Sudeikis] *
56 [Will Forte] *
16 [Jessica Williams] *
25 [Kaitlyn Dever] *
49 [Lisa Kudrow] *
16 [Billie Lourd] *
25 [Molly Gordon] *
324 [Booksmart] *
16 [Noah Galvin] *
4 [Skyler Gisondo] *
4 [Beanie Feldstein] *
1 [Austin Crute] *
1 [Ben Harris] *
1 [Diana Silvers] *
1 [Eduardo Franco] *
1 [Mason Gooding] *
1 [Nico Hiraga] *
1 [Victoria Ruesga]
)
= 1.09 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.2 [Jason Sudeikis] *
1.14 [Will Forte] *
1 [Jessica Williams] *
1 [Kaitlyn Dever] *
1 [Lisa Kudrow] *
1 [Billie Lourd] *
1 [Molly Gordon] *
1 [Booksmart] *
1 [Noah Galvin] *
1 [Skyler Gisondo] *
1 [Beanie Feldstein] *
1 [Austin Crute] *
1 [Ben Harris] *
1 [Diana Silvers] *
1 [Eduardo Franco] *
1 [Mason Gooding] *
1 [Nico Hiraga] *
1 [Victoria Ruesga]
)
= 1.37
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)
0.17%
(1.09 × 1015 overall)
Dominant nodes (excluded from chart)Booksmart 56.54%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)