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, 18) = 18
$outbound = max(1, 18) = 18
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 18 * 18 = 324
Base_Influence (IV) = $inbound / $outbound = 18 / 18 = 1
// 3. Exponential Network Values (accumulating 53 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 324 *
( 324 [Moneyball] *
64 [Robin Wright] *
441 [Blade Runner 2049] *
289 [A Home at the End of the World] *
441 [The Girl with the Dragon Tattoo] *
49 [The Princess Bride] *
289 [Unbreakable] *
324 [A Most Wanted Man] *
324 [Ant-Man and the Wasp] *
289 [Batman Returns] *
36 [Michelle Pfeiffer] *
324 [Dangerous Minds] *
289 [I Am Sam] *
324 [Amazon Women on the Moon] *
400 [Almost Famous] *
289 [Thanks for Sharing] *
9 [Patrick Fugit] *
4 [Liz Stauber] *
324 [Big Fish] *
16 [Alison Lohman] *
4 [Drag Me to Hell] *
4 [Matchstick Men] *
324 [20th Century Women] *
25 [John Billingsley] *
9 [The Man from Earth] *
1 [Out of Time] *
9 [Star Trek: Enterprise] *
361 [Picket Fences] *
324 [Hiller and Diller] *
324 [In Good Company] *
25 [Amy Aquino] *
4 [The Lazarus Effect] *
289 [Cold Mountain] *
289 [Jerry Maguire] *
324 [What/If] *
16 [Renée Zellweger] *
1 [Elisa Bocanegra] *
1 [Darlene Bohorquez] *
1 [Solomon Burke Jr.] *
36 [Hostage] *
16 [Scott Allan Campbell] *
4 [Meet the Robinsons] *
1 [Gettysburg] *
784 [Breaking Bad] *
9 [Sam Catlin] *
9 [Kidnapped] *
400 [NYPD Blue] *
9 [Debra Christofferson] *
1 [Carnivàle] *
1 [Marc Donato] *
1 [Svetlana Efremova] *
1 [Vernon Haas] *
1 [Sean Happy]
)
= 3.47 x 10^82
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Moneyball] *
1 [Robin Wright] *
1 [Blade Runner 2049] *
1 [A Home at the End of the World] *
1 [The Girl with the Dragon Tattoo] *
1 [The Princess Bride] *
1 [Unbreakable] *
1 [A Most Wanted Man] *
1 [Ant-Man and the Wasp] *
1 [Batman Returns] *
1 [Michelle Pfeiffer] *
1 [Dangerous Minds] *
1 [I Am Sam] *
1 [Amazon Women on the Moon] *
1 [Almost Famous] *
1 [Thanks for Sharing] *
1 [Patrick Fugit] *
1 [Liz Stauber] *
1 [Big Fish] *
1 [Alison Lohman] *
1 [Drag Me to Hell] *
1 [Matchstick Men] *
1 [20th Century Women] *
1 [John Billingsley] *
1 [The Man from Earth] *
1 [Out of Time] *
1 [Star Trek: Enterprise] *
1 [Picket Fences] *
1 [Hiller and Diller] *
1 [In Good Company] *
1 [Amy Aquino] *
1 [The Lazarus Effect] *
1 [Cold Mountain] *
1 [Jerry Maguire] *
1 [What/If] *
1 [Renée Zellweger] *
1 [Elisa Bocanegra] *
1 [Darlene Bohorquez] *
1 [Solomon Burke Jr.] *
1 [Hostage] *
1 [Scott Allan Campbell] *
1 [Meet the Robinsons] *
1 [Gettysburg] *
1 [Breaking Bad] *
1 [Sam Catlin] *
1 [Kidnapped] *
1 [NYPD Blue] *
1 [Debra Christofferson] *
1 [Carnivàle] *
1 [Marc Donato] *
1 [Svetlana Efremova] *
1 [Vernon Haas] *
1 [Sean Happy]
)
= 1
Outbound
18
Tags on post
Inbound
18
Posts tagging this
Connections
53
Total nodes
Base Node Strength
324
Base Node Influence
1
Strength Share (vs Direct Neighbours)
3.69%
(3.47 × 1082 overall)
Dominant nodes (excluded from chart)Breaking Bad 8.93%Blade Runner 2049 5.02%The Girl with the Dragon Tattoo 5.02%Almost Famous 4.56%NYPD Blue 4.56%Picket Fences 4.11%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)