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, 19) = 19
$outbound = max(1, 19) = 19
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 19 * 19 = 361
Base_Influence (IV) = $inbound / $outbound = 19 / 19 = 1
// 3. Exponential Network Values (accumulating 92 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 361 *
( 12 [Zara Phythian] *
30 [Chiwetel Ejiofor] *
72 [Rachel McAdams] *
272 [Spider-Man: No Way Home] *
272 [Cloudy with a Chance of Meatballs 2] *
342 [Star Trek Into Darkness] *
342 [The Boy Who Harnessed the Wind] *
342 [Spectre] *
380 [The Curious Case of Benjamin Button] *
420 [Michael Clayton] *
169 [Benedict Cumberbatch] *
400 [The Hobbit: The Desolation of Smaug] *
400 [Avengers: Endgame] *
25 [August: Osage County] *
324 [The Imitation Game] *
441 [Avengers: Infinity War] *
289 [Thor: Ragnarok] *
361 [Tinker Tailor Soldier Spy] *
400 [Atonement] *
289 [The Power of the Dog] *
289 [The Current War] *
441 [Clash of the Titans] *
25 [Mads Mikkelsen] *
441 [Rogue One: A Star Wars Story] *
1 [Another Round] *
441 [The Hunt] *
4 [Coco] *
289 [Clear and Present Danger] *
64 [Benjamin Bratt] *
289 [Miss Congeniality] *
361 [Shot Caller] *
36 [Traffic] *
361 [Law & Order] *
289 [The Martian] *
361 [Amistad] *
361 [American Gangster] *
9 [Annihilation] *
25 [Benedict Wong] *
289 [Iron Man 3] *
9 [Pat Kiernan] *
4 [Spider-Man: Far from Home] *
64 [Tilda Swinton] *
1 [Alaa Safi] *
16 [Amy Landecker] *
1 [Katrina Durden] *
16 [Linda Louise Duan] *
16 [Mark Anthony Brighton] *
25 [Meera Syal] *
49 [Michael Stuhlbarg] *
25 [Scott Adkins] *
9 [Topo Wresniwiro] *
16 [Umit Ulgen] *
4 [Suspiria] *
324 [We Need to Talk About Kevin] *
324 [Moonrise Kingdom] *
324 [The French Dispatch] *
400 [Vanilla Sky] *
25 [Sherlock Holmes] *
361 [Spotlight] *
324 [About Time] *
324 [The Notebook] *
324 [Disobedience] *
324 [A Most Wanted Man] *
36 [Mean Girls] *
289 [Miles Ahead] *
36 [Boardwalk Empire] *
9 [A Serious Man] *
361 [The Staircase] *
4 [Call Me by Your Name] *
256 [The Shape of Water] *
1 [Avengement] *
1 [Day Shift] *
9 [John Wick: Chapter 4] *
1 [Undisputed 4: Boyka] *
1 [Tribal Get Out Alive] *
1 [Unit 19] *
9 [Doctor Strange in the Multiverse of Madness] *
1 [Maleficent: Mistress of Evil] *
1 [Ancient Black Ops] *
1 [Different Perspectives] *
289 [Bohemian Rhapsody] *
1 [Dune Drifter] *
9 [The 355] *
1 [Green Street Hooligans] *
1 [The Gospel of John] *
1 [The Lady of Heaven] *
4 [Beautiful Thing] *
9 [You Will Meet a Tall Dark Stranger] *
4 [Coats of arms of Jean-Thomas Arrighi de Casanova] *
4 [Great Moments with Mr. Lincoln] *
4 [Project Power] *
9 [Dan in Real Life]
)
= 9.61 x 10^146
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Zara Phythian] *
1.2 [Chiwetel Ejiofor] *
1.13 [Rachel McAdams] *
1.06 [Spider-Man: No Way Home] *
1.06 [Cloudy with a Chance of Meatballs 2] *
1.06 [Star Trek Into Darkness] *
1.06 [The Boy Who Harnessed the Wind] *
1.06 [Spectre] *
1.05 [The Curious Case of Benjamin Button] *
1.05 [Michael Clayton] *
1 [Benedict Cumberbatch] *
1 [The Hobbit: The Desolation of Smaug] *
1 [Avengers: Endgame] *
1 [August: Osage County] *
1 [The Imitation Game] *
1 [Avengers: Infinity War] *
1 [Thor: Ragnarok] *
1 [Tinker Tailor Soldier Spy] *
1 [Atonement] *
1 [The Power of the Dog] *
1 [The Current War] *
1 [Clash of the Titans] *
1 [Mads Mikkelsen] *
1 [Rogue One: A Star Wars Story] *
1 [Another Round] *
1 [The Hunt] *
1 [Coco] *
1 [Clear and Present Danger] *
1 [Benjamin Bratt] *
1 [Miss Congeniality] *
1 [Shot Caller] *
1 [Traffic] *
1 [Law & Order] *
1 [The Martian] *
1 [Amistad] *
1 [American Gangster] *
1 [Annihilation] *
1 [Benedict Wong] *
1 [Iron Man 3] *
1 [Pat Kiernan] *
1 [Spider-Man: Far from Home] *
1 [Tilda Swinton] *
1 [Alaa Safi] *
1 [Amy Landecker] *
1 [Katrina Durden] *
1 [Linda Louise Duan] *
1 [Mark Anthony Brighton] *
1 [Meera Syal] *
1 [Michael Stuhlbarg] *
1 [Scott Adkins] *
1 [Topo Wresniwiro] *
1 [Umit Ulgen] *
1 [Suspiria] *
1 [We Need to Talk About Kevin] *
1 [Moonrise Kingdom] *
1 [The French Dispatch] *
1 [Vanilla Sky] *
1 [Sherlock Holmes] *
1 [Spotlight] *
1 [About Time] *
1 [The Notebook] *
1 [Disobedience] *
1 [A Most Wanted Man] *
1 [Mean Girls] *
1 [Miles Ahead] *
1 [Boardwalk Empire] *
1 [A Serious Man] *
1 [The Staircase] *
1 [Call Me by Your Name] *
1 [The Shape of Water] *
1 [Avengement] *
1 [Day Shift] *
1 [John Wick: Chapter 4] *
1 [Undisputed 4: Boyka] *
1 [Tribal Get Out Alive] *
1 [Unit 19] *
1 [Doctor Strange in the Multiverse of Madness] *
1 [Maleficent: Mistress of Evil] *
1 [Ancient Black Ops] *
1 [Different Perspectives] *
1 [Bohemian Rhapsody] *
1 [Dune Drifter] *
1 [The 355] *
1 [Green Street Hooligans] *
1 [The Gospel of John] *
1 [The Lady of Heaven] *
1 [Beautiful Thing] *
1 [You Will Meet a Tall Dark Stranger] *
1 [Coats of arms of Jean-Thomas Arrighi de Casanova] *
1 [Great Moments with Mr. Lincoln] *
1 [Project Power] *
1 [Dan in Real Life]
)
= 2.64
Outbound
19
Tags on post
Inbound
19
Posts tagging this
Connections
92
Total nodes
Base Node Strength
361
Base Node Influence
1
Strength Share (vs Direct Neighbours)
2.41%
(9.61 × 10146 overall)
Dominant nodes (excluded from chart)Avengers: Infinity War 2.94%Clash of the Titans 2.94%Rogue One: A Star Wars Story 2.94%The Hunt 2.94%Michael Clayton 2.80%The Hobbit: The Desolation of Smaug 2.67%Avengers: Endgame 2.67%Atonement 2.67%Vanilla Sky 2.67%The Curious Case of Benjamin Button 2.54%Tinker Tailor Soldier Spy 2.41%Shot Caller 2.41%Law & Order 2.41%Amistad 2.41%American Gangster 2.41%Spotlight 2.41%The Staircase 2.41%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
