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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 65 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 6 [Alex Manette] *
20 [Chukwudi Iwuji] *
56 [William Sadler] *
420 [When They See Us] *
169 [Steven Van Zandt] *
25 [Edie Falco] *
16 [Christina Cabot] *
9 [Frank Vincent] *
16 [Lorraine Bracco] *
16 [Bambadjan Bamba] *
676 [The Sopranos] *
25 [James Gandolfini] *
16 [Saundra Santiago] *
9 [Gina Tognoni] *
4 [Zuzanna Szadkowski] *
16 [Frank Renzulli] *
4 [Aida Turturro] *
16 [Dan Grimaldi] *
4 [Dominic Chianese] *
1 [Drea de Matteo] *
16 [Jamie-Lynn Sigler] *
9 [John Ventimiglia] *
1 [Robert Iler] *
16 [Sharon Angela] *
16 [Steve Schirripa] *
16 [Al Sapienza] *
16 [George Loros] *
1 [Joseph R. Gannascoli] *
1 [Tony Sirico] *
1 [Vincent Curatola] *
9 [Michael Kenneth Williams] *
16 [Jayce Bartok] *
25 [Aunjanue Ellis-Taylor] *
100 [John Leguizamo] *
25 [Kylie Bunbury] *
9 [Felicity Huffman] *
9 [Len Cariou] *
4 [Adepero Oduye] *
1 [Alexandra Templer] *
1 [Asante Blackk] *
1 [Caleel Harris] *
1 [Denia Brache] *
1 [Ethan Herisse] *
1 [Jharrel Jerome] *
1 [Marquis Rodriguez] *
1 [Marsha Stephanie Blake] *
1 [Suzzanne Douglas] *
64 [Joaquin Phoenix] *
16 [Jonathan Ames] *
49 [John Doman] *
361 [You Were Never Really Here] *
1 [Annie Mac-Yang] *
1 [Claire Hsu] *
4 [Dante Pereira-Olson] *
1 [Denis Ozer] *
1 [Edward Latham] *
4 [Ekaterina Samsonov] *
16 [Judith Roberts] *
1 [Larry Canady] *
1 [Lilian Tsang] *
1 [Lucy Lan Luo] *
1 [Mengqi He] *
1 [Neo Randall] *
1 [Tia Sofia Begh] *
1 [Vinicius Damasceno]
)
= 2.01 x 10^52
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Alex Manette] *
1.25 [Chukwudi Iwuji] *
1.14 [William Sadler] *
1.05 [When They See Us] *
1 [Steven Van Zandt] *
1 [Edie Falco] *
1 [Christina Cabot] *
1 [Frank Vincent] *
1 [Lorraine Bracco] *
1 [Bambadjan Bamba] *
1 [The Sopranos] *
1 [James Gandolfini] *
1 [Saundra Santiago] *
1 [Gina Tognoni] *
1 [Zuzanna Szadkowski] *
1 [Frank Renzulli] *
1 [Aida Turturro] *
1 [Dan Grimaldi] *
1 [Dominic Chianese] *
1 [Drea de Matteo] *
1 [Jamie-Lynn Sigler] *
1 [John Ventimiglia] *
1 [Robert Iler] *
1 [Sharon Angela] *
1 [Steve Schirripa] *
1 [Al Sapienza] *
1 [George Loros] *
1 [Joseph R. Gannascoli] *
1 [Tony Sirico] *
1 [Vincent Curatola] *
1 [Michael Kenneth Williams] *
1 [Jayce Bartok] *
1 [Aunjanue Ellis-Taylor] *
1 [John Leguizamo] *
1 [Kylie Bunbury] *
1 [Felicity Huffman] *
1 [Len Cariou] *
1 [Adepero Oduye] *
1 [Alexandra Templer] *
1 [Asante Blackk] *
1 [Caleel Harris] *
1 [Denia Brache] *
1 [Ethan Herisse] *
1 [Jharrel Jerome] *
1 [Marquis Rodriguez] *
1 [Marsha Stephanie Blake] *
1 [Suzzanne Douglas] *
1 [Joaquin Phoenix] *
1 [Jonathan Ames] *
1 [John Doman] *
1 [You Were Never Really Here] *
1 [Annie Mac-Yang] *
1 [Claire Hsu] *
1 [Dante Pereira-Olson] *
1 [Denis Ozer] *
1 [Edward Latham] *
1 [Ekaterina Samsonov] *
1 [Judith Roberts] *
1 [Larry Canady] *
1 [Lilian Tsang] *
1 [Lucy Lan Luo] *
1 [Mengqi He] *
1 [Neo Randall] *
1 [Tia Sofia Begh] *
1 [Vinicius Damasceno]
)
= 2.25
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
65
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.38%
(2.01 × 1052 overall)
Dominant nodes (excluded from chart)The Sopranos 28.68%When They See Us 17.82%You Were Never Really Here 15.32%Steven Van Zandt 7.17%John Leguizamo 4.24%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)