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, 11) = 11
$outbound = max(1, 11) = 11
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 11 * 11 = 121
Base_Influence (IV) = $inbound / $outbound = 11 / 11 = 1
// 3. Exponential Network Values (accumulating 45 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 121 *
( 12 [Isabela Merced] *
30 [Nathan Fillion] *
342 [The Guardians of Justice (Will Save You!)] *
25 [Sean Gunn] *
441 [Guardians of the Galaxy] *
289 [Guardians of the Galaxy Vol. 2] *
324 [The Giant Mechanical Man] *
324 [Guardians of the Galaxy Vol. 3] *
361 [Slither] *
4 [Firefly] *
324 [Monsters University] *
484 [The Rookie] *
324 [Jack the Giant Killer] *
441 [Clash of the Titans] *
144 [Nicholas Hoult] *
361 [X-Men: First Class] *
361 [Jack the Giant Slayer] *
441 [About a Boy] *
256 [Mad Max: Fury Road] *
289 [Warm Bodies] *
324 [X-Men: Days of Future Past] *
400 [X-Men: Apocalypse] *
289 [The Current War] *
324 [The Menu] *
256 [Gone Baby Gone] *
49 [Edi Gathegi] *
400 [For All Mankind] *
289 [Princess of the Row] *
1 [StartUp] *
16 [Sicario: Day of the Soldado] *
441 [Transformers: The Last Knight] *
16 [Anthony Carrigan] *
1 [David Corenswet] *
25 [Rachel Brosnahan] *
1 [Sara Sampaio] *
4 [Skyler Gisondo] *
1 [María Gabriela de Faría] *
81 [House of Cards] *
9 [The Finest Hours] *
9 [The Marvelous Mrs. Maisel] *
16 [Patriots' Day] *
64 [Gotham] *
4 [Fatherhood] *
4 [Bill & Ted Face the Music] *
324 [Booksmart]
)
= 6.83 x 10^83
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Isabela Merced] *
1.2 [Nathan Fillion] *
1.06 [The Guardians of Justice (Will Save You!)] *
1 [Sean Gunn] *
1 [Guardians of the Galaxy] *
1 [Guardians of the Galaxy Vol. 2] *
1 [The Giant Mechanical Man] *
1 [Guardians of the Galaxy Vol. 3] *
1 [Slither] *
1 [Firefly] *
1 [Monsters University] *
1 [The Rookie] *
1 [Jack the Giant Killer] *
1 [Clash of the Titans] *
1 [Nicholas Hoult] *
1 [X-Men: First Class] *
1 [Jack the Giant Slayer] *
1 [About a Boy] *
1 [Mad Max: Fury Road] *
1 [Warm Bodies] *
1 [X-Men: Days of Future Past] *
1 [X-Men: Apocalypse] *
1 [The Current War] *
1 [The Menu] *
1 [Gone Baby Gone] *
1 [Edi Gathegi] *
1 [For All Mankind] *
1 [Princess of the Row] *
1 [StartUp] *
1 [Sicario: Day of the Soldado] *
1 [Transformers: The Last Knight] *
1 [Anthony Carrigan] *
1 [David Corenswet] *
1 [Rachel Brosnahan] *
1 [Sara Sampaio] *
1 [Skyler Gisondo] *
1 [María Gabriela de Faría] *
1 [House of Cards] *
1 [The Finest Hours] *
1 [The Marvelous Mrs. Maisel] *
1 [Patriots' Day] *
1 [Gotham] *
1 [Fatherhood] *
1 [Bill & Ted Face the Music] *
1 [Booksmart]
)
= 1.69
Outbound
11
Tags on post
Inbound
11
Posts tagging this
Connections
45
Total nodes
Base Node Strength
121
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.34%
(6.83 × 1083 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)