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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 46 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 2 [Peabody Institute of the Johns Hopkins University] *
30 [Jason Sudeikis] *
56 [Will Forte] *
196 [Colin McPhee] *
1 [George Peabody (1792-1869)] *
64 [Peabody Institute] *
16 [Gustav Strube] *
4 [Harold Randolph] *
4 [Michael McKinley Sillerman] *
16 [Johns Hopkins University] *
16 [Johns Hopkins] *
324 [Booksmart] *
361 [Shrinking] *
25 [Kaitlyn Dever] *
49 [Lisa Kudrow] *
16 [Billie Lourd] *
16 [Molly Gordon] *
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 [Michael Patrick O'Brien] *
64 [Harrison Ford] *
25 [Christa Miller] *
4 [Asif Ali] *
36 [Lily Rabe] *
36 [Ted McGinley] *
25 [Jason Segel] *
4 [Tilky Jones] *
16 [Brett Goldstein] *
25 [Lilan Bowden] *
1 [Devin Kawaoka] *
1 [Heidi Gardner] *
1 [Kimberly Condict] *
1 [Luke Tennie] *
1 [Lukita Maxwell] *
1 [Michael Urie] *
1 [Rachel Stubington] *
1 [Sawyer Jones] *
4 [Wendie Malick]
)
= 5.51 x 10^38
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Peabody Institute of the Johns Hopkins University] *
1.2 [Jason Sudeikis] *
1.14 [Will Forte] *
1 [Colin McPhee] *
1 [George Peabody (1792-1869)] *
1 [Peabody Institute] *
1 [Gustav Strube] *
1 [Harold Randolph] *
1 [Michael McKinley Sillerman] *
1 [Johns Hopkins University] *
1 [Johns Hopkins] *
1 [Booksmart] *
1 [Shrinking] *
1 [Kaitlyn Dever] *
1 [Lisa Kudrow] *
1 [Billie Lourd] *
1 [Molly Gordon] *
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 [Michael Patrick O'Brien] *
1 [Harrison Ford] *
1 [Christa Miller] *
1 [Asif Ali] *
1 [Lily Rabe] *
1 [Ted McGinley] *
1 [Jason Segel] *
1 [Tilky Jones] *
1 [Brett Goldstein] *
1 [Lilan Bowden] *
1 [Devin Kawaoka] *
1 [Heidi Gardner] *
1 [Kimberly Condict] *
1 [Luke Tennie] *
1 [Lukita Maxwell] *
1 [Michael Urie] *
1 [Rachel Stubington] *
1 [Sawyer Jones] *
1 [Wendie Malick]
)
= 2.74
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
46
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.07%
(5.51 × 1038 overall)
Dominant nodes (excluded from chart)Shrinking 24.21%Booksmart 21.73%Colin McPhee 13.15%Peabody Institute 4.29%Harrison Ford 4.29%Will Forte 3.76%Lisa Kudrow 3.29%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)