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Connected Bands/Artists

  • Aguilar En Su Estilo
  • Ranchera

Connected Musicians

  • Antonio Aguilar
    Antonio Aguilar band photo
  • Garret Dillahunt

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.86% of network
(3.48 × 1026)
Strength Breakdown
  • This Post (1.86%)
  • Transamerica (2.90%)
  • Ranchera (2.90%)
  • Barry Corbin (2.90%)
  • Kelly Macdonald (2.90%)
  • Stephen Root (2.90%)
  • Tommy Lee Jones (2.90%)
  • Javier Bardem (2.32%)
  • Beth Grant (1.86%)
  • Kevin Zegers (1.86%)
  • Danny Burstein (1.39%)
  • Antonio Aguilar (1.05%)
  • Venida Evans (1.05%)
  • Garret Dillahunt (0.46%)
  • Tess Harper (0.46%)
  • Ana Reeder (0.46%)
  • Gene Jones (0.46%)
  • Rodger Boyce (0.46%)
  • Jean Grae (0.46%)
  • Valentín de la Sierra (0.12%)
  • Aguilar En Su Estilo (0.12%)
  • Chip Love (0.12%)
  • Eduardo Antonio Garcia (0.12%)
  • Kit Gwin (0.12%)
  • Myk Watford (0.12%)
  • Zach Hopkins (0.12%)
Dominant nodes (excluded from chart)
No Country for Old Men 41.93%Woody Harrelson 14.05%Josh Brolin 11.61%
Influence Score
i
3.38% of network
(1.67)
Influence Breakdown
  • This Post (3.38%)
  • Danny Burstein (4.51%)
  • Javier Bardem (4.23%)
  • Antonio Aguilar (3.38%)
  • No Country for Old Men (3.38%)
  • Transamerica (3.38%)
  • Valentín de la Sierra (3.38%)
  • Aguilar En Su Estilo (3.38%)
  • Ranchera (3.38%)
  • Garret Dillahunt (3.38%)
  • Josh Brolin (3.38%)
  • Tess Harper (3.38%)
  • Woody Harrelson (3.38%)
  • Ana Reeder (3.38%)
  • Barry Corbin (3.38%)
  • Beth Grant (3.38%)
  • Chip Love (3.38%)
  • Eduardo Antonio Garcia (3.38%)
  • Gene Jones (3.38%)
  • Kelly Macdonald (3.38%)
  • Kit Gwin (3.38%)
  • Myk Watford (3.38%)
  • Rodger Boyce (3.38%)
  • Stephen Root (3.38%)
  • Tommy Lee Jones (3.38%)
  • Zach Hopkins (3.38%)
  • Jean Grae (3.38%)
  • Kevin Zegers (3.38%)
  • Venida Evans (3.38%)
Direct Connections 8

Node & Network Details

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 28 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 16 *
                           ( 12 [Danny Burstein] *
                            20 [Javier Bardem] *
                            9 [Antonio Aguilar] *
                            361 [No Country for Old Men] *
                            25 [Transamerica] *
                            1 [Valentín de la Sierra] *
                            1 [Aguilar En Su Estilo] *
                            25 [Ranchera] *
                            4 [Garret Dillahunt] *
                            100 [Josh Brolin] *
                            4 [Tess Harper] *
                            121 [Woody Harrelson] *
                            4 [Ana Reeder] *
                            25 [Barry Corbin] *
                            16 [Beth Grant] *
                            1 [Chip Love] *
                            1 [Eduardo Antonio Garcia] *
                            4 [Gene Jones] *
                            25 [Kelly Macdonald] *
                            1 [Kit Gwin] *
                            1 [Myk Watford] *
                            4 [Rodger Boyce] *
                            25 [Stephen Root] *
                            25 [Tommy Lee Jones] *
                            1 [Zach Hopkins] *
                            4 [Jean Grae] *
                            16 [Kevin Zegers] *
                            9 [Venida Evans]
                           )

                         = 3.48 x 10^26

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.33 [Danny Burstein] *
                            1.25 [Javier Bardem] *
                            1 [Antonio Aguilar] *
                            1 [No Country for Old Men] *
                            1 [Transamerica] *
                            1 [Valentín de la Sierra] *
                            1 [Aguilar En Su Estilo] *
                            1 [Ranchera] *
                            1 [Garret Dillahunt] *
                            1 [Josh Brolin] *
                            1 [Tess Harper] *
                            1 [Woody Harrelson] *
                            1 [Ana Reeder] *
                            1 [Barry Corbin] *
                            1 [Beth Grant] *
                            1 [Chip Love] *
                            1 [Eduardo Antonio Garcia] *
                            1 [Gene Jones] *
                            1 [Kelly Macdonald] *
                            1 [Kit Gwin] *
                            1 [Myk Watford] *
                            1 [Rodger Boyce] *
                            1 [Stephen Root] *
                            1 [Tommy Lee Jones] *
                            1 [Zach Hopkins] *
                            1 [Jean Grae] *
                            1 [Kevin Zegers] *
                            1 [Venida Evans]
                           )

                         = 1.67
Outbound 4 Tags on post
Inbound 4 Posts tagging this
Connections 28 Total nodes
Base Node Strength 16
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.86% (3.48 × 1026 overall)
  • This Post (1.86%)
  • Transamerica (2.90%)
  • Ranchera (2.90%)
  • Barry Corbin (2.90%)
  • Kelly Macdonald (2.90%)
  • Stephen Root (2.90%)
  • Tommy Lee Jones (2.90%)
  • Javier Bardem (2.32%)
  • Beth Grant (1.86%)
  • Kevin Zegers (1.86%)
  • Danny Burstein (1.39%)
  • Antonio Aguilar (1.05%)
  • Venida Evans (1.05%)
  • Garret Dillahunt (0.46%)
  • Tess Harper (0.46%)
  • Ana Reeder (0.46%)
  • Gene Jones (0.46%)
  • Rodger Boyce (0.46%)
  • Jean Grae (0.46%)
  • Valentín de la Sierra (0.12%)
  • Aguilar En Su Estilo (0.12%)
  • Chip Love (0.12%)
  • Eduardo Antonio Garcia (0.12%)
  • Kit Gwin (0.12%)
  • Myk Watford (0.12%)
  • Zach Hopkins (0.12%)
Dominant nodes (excluded from chart)
No Country for Old Men 41.93%Woody Harrelson 14.05%Josh Brolin 11.61%
Influence Share (vs Direct Neighbours)
3.38% (1.67 overall)
  • This Post (3.38%)
  • Danny Burstein (4.51%)
  • Javier Bardem (4.23%)
  • Antonio Aguilar (3.38%)
  • No Country for Old Men (3.38%)
  • Transamerica (3.38%)
  • Valentín de la Sierra (3.38%)
  • Aguilar En Su Estilo (3.38%)
  • Ranchera (3.38%)
  • Garret Dillahunt (3.38%)
  • Josh Brolin (3.38%)
  • Tess Harper (3.38%)
  • Woody Harrelson (3.38%)
  • Ana Reeder (3.38%)
  • Barry Corbin (3.38%)
  • Beth Grant (3.38%)
  • Chip Love (3.38%)
  • Eduardo Antonio Garcia (3.38%)
  • Gene Jones (3.38%)
  • Kelly Macdonald (3.38%)
  • Kit Gwin (3.38%)
  • Myk Watford (3.38%)
  • Rodger Boyce (3.38%)
  • Stephen Root (3.38%)
  • Tommy Lee Jones (3.38%)
  • Zach Hopkins (3.38%)
  • Jean Grae (3.38%)
  • Kevin Zegers (3.38%)
  • Venida Evans (3.38%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Danny Burstein ↗
Str: 12Inf: 1.33
Javier Bardem ↗
Str: 20Inf: 1.25
Antonio Aguilar ↗
Str: 9Inf: 1
No Country for Old Men ↗
Str: 361Inf: 1
Transamerica ↗
Str: 25Inf: 1
Valentín de la Sierra ↗
Str: 1Inf: 1
Aguilar En Su Estilo ↗
Str: 1Inf: 1
Ranchera ↗
Str: 25Inf: 1
Garret Dillahunt ↗
Str: 4Inf: 1
Josh Brolin ↗
Str: 100Inf: 1
Tess Harper ↗
Str: 4Inf: 1
Woody Harrelson ↗
Str: 121Inf: 1
Ana Reeder ↗
Str: 4Inf: 1
Barry Corbin ↗
Str: 25Inf: 1
Beth Grant ↗
Str: 16Inf: 1
Chip Love ↗
Str: 1Inf: 1
Eduardo Antonio Garcia ↗
Str: 1Inf: 1
Gene Jones ↗
Str: 4Inf: 1
Kelly Macdonald ↗
Str: 25Inf: 1
Kit Gwin ↗
Str: 1Inf: 1
Myk Watford ↗
Str: 1Inf: 1
Rodger Boyce ↗
Str: 4Inf: 1
Stephen Root ↗
Str: 25Inf: 1
Tommy Lee Jones ↗
Str: 25Inf: 1
Zach Hopkins ↗
Str: 1Inf: 1
Jean Grae ↗
Str: 4Inf: 1
Kevin Zegers ↗
Str: 16Inf: 1
Venida Evans ↗
Str: 9Inf: 1
Weakest Connections (Lowest Multipliers)
Venida Evans ↗
Str: 9Inf: 1
Kevin Zegers ↗
Str: 16Inf: 1
Jean Grae ↗
Str: 4Inf: 1
Zach Hopkins ↗
Str: 1Inf: 1
Tommy Lee Jones ↗
Str: 25Inf: 1
Stephen Root ↗
Str: 25Inf: 1
Rodger Boyce ↗
Str: 4Inf: 1
Myk Watford ↗
Str: 1Inf: 1
Kit Gwin ↗
Str: 1Inf: 1
Kelly Macdonald ↗
Str: 25Inf: 1
Gene Jones ↗
Str: 4Inf: 1
Eduardo Antonio Garcia ↗
Str: 1Inf: 1
Chip Love ↗
Str: 1Inf: 1
Beth Grant ↗
Str: 16Inf: 1
Barry Corbin ↗
Str: 25Inf: 1
Ana Reeder ↗
Str: 4Inf: 1
Woody Harrelson ↗
Str: 121Inf: 1
Tess Harper ↗
Str: 4Inf: 1
Josh Brolin ↗
Str: 100Inf: 1
Garret Dillahunt ↗
Str: 4Inf: 1
Ranchera ↗
Str: 25Inf: 1
Aguilar En Su Estilo ↗
Str: 1Inf: 1
Valentín de la Sierra ↗
Str: 1Inf: 1
Transamerica ↗
Str: 25Inf: 1
No Country for Old Men ↗
Str: 361Inf: 1
Antonio Aguilar ↗
Str: 9Inf: 1
Javier Bardem ↗
Str: 20Inf: 1.25
Danny Burstein ↗
Str: 12Inf: 1.33

Connection Health Audit (Red = broken 1-way link)

Outbound Tags (4)
Antonio Aguilar
No Country for Old Men
Transamerica
Valentín de la Sierra
Inbound Posts (4)
Antonio Aguilar
No Country for Old Men
Transamerica
Valentín de la Sierra
Last calculated: Oct 13, 12:31 AM
40

Related Content

Actors

  • Eduardo Antonio Garcia
  • Tommy Lee Jones
  • Josh Brolin
  • Gene Jones
  • Zach Hopkins
  • Tess Harper
  • Javier Bardem
  • Woody Harrelson
  • Kelly Macdonald
  • Kevin Zegers
  • Ana Reeder
  • Kit Gwin
  • Venida Evans
  • Barry Corbin
  • Myk Watford
  • Danny Burstein
  • Beth Grant
  • Rodger Boyce
  • Chip Love
  • Stephen Root

Figures

  • Jean Grae

Films

  • No Country for Old Men
  • Transamerica

Topics

  • Valentín de la Sierra

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