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Connected Bands/Artists

  • PAPER/BOY

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.73% of network
(1.56 × 1026)
Strength Breakdown
  • This Post (1.73%)
  • Robin Wright (6.93%)
  • Christopher Plummer (6.93%)
  • John Doman (5.30%)
  • Stellan Skarsgård (3.90%)
  • Yorick van Wageningen (3.90%)
  • Noomi Rapace (3.90%)
  • The Wire (2.71%)
  • Jamie Hector (2.71%)
  • Donald Sumpter (2.71%)
  • Markos Vamvakaris (1.73%)
  • Stelios Kazantzidis (1.73%)
  • Joyce Giraud (1.73%)
  • Daniel Craig (1.73%)
  • Leo Bill (1.73%)
  • Tony Way (0.97%)
  • Per Myrberg (0.43%)
  • Rooney Mara (0.43%)
  • PAPER/BOY (0.11%)
  • The Weather Girls: Well-A-Wiggy (0.11%)
  • Eva Fritjofson (0.11%)
  • Geraldine James (0.11%)
  • Goran Visnjic (0.11%)
  • Josefin Asplund (0.11%)
  • Moa Garpendal (0.11%)
  • Steven Berkoff (0.11%)
  • Ulf Friberg (0.11%)
  • Bengt C.W. Carlsson (0.11%)
Dominant nodes (excluded from chart)
The Girl with the Dragon Tattoo 47.73%
Influence Score
i
3.45% of network
(1)
Influence Breakdown
  • This Post (3.45%)
  • PAPER/BOY (3.45%)
  • The Girl with the Dragon Tattoo (3.45%)
  • The Wire (3.45%)
  • The Weather Girls: Well-A-Wiggy (3.45%)
  • Markos Vamvakaris (3.45%)
  • Stelios Kazantzidis (3.45%)
  • Jamie Hector (3.45%)
  • John Doman (3.45%)
  • Joyce Giraud (3.45%)
  • Stellan Skarsgård (3.45%)
  • Robin Wright (3.45%)
  • Donald Sumpter (3.45%)
  • Yorick van Wageningen (3.45%)
  • Christopher Plummer (3.45%)
  • Tony Way (3.45%)
  • Noomi Rapace (3.45%)
  • Daniel Craig (3.45%)
  • Eva Fritjofson (3.45%)
  • Geraldine James (3.45%)
  • Goran Visnjic (3.45%)
  • Josefin Asplund (3.45%)
  • Moa Garpendal (3.45%)
  • Per Myrberg (3.45%)
  • Rooney Mara (3.45%)
  • Steven Berkoff (3.45%)
  • Ulf Friberg (3.45%)
  • Leo Bill (3.45%)
  • Bengt C.W. Carlsson (3.45%)
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 *
                           ( 1 [PAPER/BOY] *
                            441 [The Girl with the Dragon Tattoo] *
                            25 [The Wire] *
                            1 [The Weather Girls: Well-A-Wiggy] *
                            16 [Markos Vamvakaris] *
                            16 [Stelios Kazantzidis] *
                            25 [Jamie Hector] *
                            49 [John Doman] *
                            16 [Joyce Giraud] *
                            36 [Stellan Skarsgård] *
                            64 [Robin Wright] *
                            25 [Donald Sumpter] *
                            36 [Yorick van Wageningen] *
                            64 [Christopher Plummer] *
                            9 [Tony Way] *
                            36 [Noomi Rapace] *
                            16 [Daniel Craig] *
                            1 [Eva Fritjofson] *
                            1 [Geraldine James] *
                            1 [Goran Visnjic] *
                            1 [Josefin Asplund] *
                            1 [Moa Garpendal] *
                            4 [Per Myrberg] *
                            4 [Rooney Mara] *
                            1 [Steven Berkoff] *
                            1 [Ulf Friberg] *
                            16 [Leo Bill] *
                            1 [Bengt C.W. Carlsson]
                           )

                         = 1.56 x 10^26

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [PAPER/BOY] *
                            1 [The Girl with the Dragon Tattoo] *
                            1 [The Wire] *
                            1 [The Weather Girls: Well-A-Wiggy] *
                            1 [Markos Vamvakaris] *
                            1 [Stelios Kazantzidis] *
                            1 [Jamie Hector] *
                            1 [John Doman] *
                            1 [Joyce Giraud] *
                            1 [Stellan Skarsgård] *
                            1 [Robin Wright] *
                            1 [Donald Sumpter] *
                            1 [Yorick van Wageningen] *
                            1 [Christopher Plummer] *
                            1 [Tony Way] *
                            1 [Noomi Rapace] *
                            1 [Daniel Craig] *
                            1 [Eva Fritjofson] *
                            1 [Geraldine James] *
                            1 [Goran Visnjic] *
                            1 [Josefin Asplund] *
                            1 [Moa Garpendal] *
                            1 [Per Myrberg] *
                            1 [Rooney Mara] *
                            1 [Steven Berkoff] *
                            1 [Ulf Friberg] *
                            1 [Leo Bill] *
                            1 [Bengt C.W. Carlsson]
                           )

                         = 1
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)
1.73% (1.56 × 1026 overall)
  • This Post (1.73%)
  • Robin Wright (6.93%)
  • Christopher Plummer (6.93%)
  • John Doman (5.30%)
  • Stellan Skarsgård (3.90%)
  • Yorick van Wageningen (3.90%)
  • Noomi Rapace (3.90%)
  • The Wire (2.71%)
  • Jamie Hector (2.71%)
  • Donald Sumpter (2.71%)
  • Markos Vamvakaris (1.73%)
  • Stelios Kazantzidis (1.73%)
  • Joyce Giraud (1.73%)
  • Daniel Craig (1.73%)
  • Leo Bill (1.73%)
  • Tony Way (0.97%)
  • Per Myrberg (0.43%)
  • Rooney Mara (0.43%)
  • PAPER/BOY (0.11%)
  • The Weather Girls: Well-A-Wiggy (0.11%)
  • Eva Fritjofson (0.11%)
  • Geraldine James (0.11%)
  • Goran Visnjic (0.11%)
  • Josefin Asplund (0.11%)
  • Moa Garpendal (0.11%)
  • Steven Berkoff (0.11%)
  • Ulf Friberg (0.11%)
  • Bengt C.W. Carlsson (0.11%)
Dominant nodes (excluded from chart)
The Girl with the Dragon Tattoo 47.73%
Influence Share (vs Direct Neighbours)
3.45% (1 overall)
  • This Post (3.45%)
  • PAPER/BOY (3.45%)
  • The Girl with the Dragon Tattoo (3.45%)
  • The Wire (3.45%)
  • The Weather Girls: Well-A-Wiggy (3.45%)
  • Markos Vamvakaris (3.45%)
  • Stelios Kazantzidis (3.45%)
  • Jamie Hector (3.45%)
  • John Doman (3.45%)
  • Joyce Giraud (3.45%)
  • Stellan Skarsgård (3.45%)
  • Robin Wright (3.45%)
  • Donald Sumpter (3.45%)
  • Yorick van Wageningen (3.45%)
  • Christopher Plummer (3.45%)
  • Tony Way (3.45%)
  • Noomi Rapace (3.45%)
  • Daniel Craig (3.45%)
  • Eva Fritjofson (3.45%)
  • Geraldine James (3.45%)
  • Goran Visnjic (3.45%)
  • Josefin Asplund (3.45%)
  • Moa Garpendal (3.45%)
  • Per Myrberg (3.45%)
  • Rooney Mara (3.45%)
  • Steven Berkoff (3.45%)
  • Ulf Friberg (3.45%)
  • Leo Bill (3.45%)
  • Bengt C.W. Carlsson (3.45%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
PAPER/BOY ↗
Str: 1Inf: 1
The Girl with the Dragon Tattoo ↗
Str: 441Inf: 1
The Wire ↗
Str: 25Inf: 1
The Weather Girls: Well-A-Wiggy ↗
Str: 1Inf: 1
Markos Vamvakaris ↗
Str: 16Inf: 1
Stelios Kazantzidis ↗
Str: 16Inf: 1
Jamie Hector ↗
Str: 25Inf: 1
John Doman ↗
Str: 49Inf: 1
Joyce Giraud ↗
Str: 16Inf: 1
Stellan Skarsgård ↗
Str: 36Inf: 1
Robin Wright ↗
Str: 64Inf: 1
Donald Sumpter ↗
Str: 25Inf: 1
Yorick van Wageningen ↗
Str: 36Inf: 1
Christopher Plummer ↗
Str: 64Inf: 1
Tony Way ↗
Str: 9Inf: 1
Noomi Rapace ↗
Str: 36Inf: 1
Daniel Craig ↗
Str: 16Inf: 1
Eva Fritjofson ↗
Str: 1Inf: 1
Geraldine James ↗
Str: 1Inf: 1
Goran Visnjic ↗
Str: 1Inf: 1
Josefin Asplund ↗
Str: 1Inf: 1
Moa Garpendal ↗
Str: 1Inf: 1
Per Myrberg ↗
Str: 4Inf: 1
Rooney Mara ↗
Str: 4Inf: 1
Steven Berkoff ↗
Str: 1Inf: 1
Ulf Friberg ↗
Str: 1Inf: 1
Leo Bill ↗
Str: 16Inf: 1
Bengt C.W. Carlsson ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Bengt C.W. Carlsson ↗
Str: 1Inf: 1
Leo Bill ↗
Str: 16Inf: 1
Ulf Friberg ↗
Str: 1Inf: 1
Steven Berkoff ↗
Str: 1Inf: 1
Rooney Mara ↗
Str: 4Inf: 1
Per Myrberg ↗
Str: 4Inf: 1
Moa Garpendal ↗
Str: 1Inf: 1
Josefin Asplund ↗
Str: 1Inf: 1
Goran Visnjic ↗
Str: 1Inf: 1
Geraldine James ↗
Str: 1Inf: 1
Eva Fritjofson ↗
Str: 1Inf: 1
Daniel Craig ↗
Str: 16Inf: 1
Noomi Rapace ↗
Str: 36Inf: 1
Tony Way ↗
Str: 9Inf: 1
Christopher Plummer ↗
Str: 64Inf: 1
Yorick van Wageningen ↗
Str: 36Inf: 1
Donald Sumpter ↗
Str: 25Inf: 1
Robin Wright ↗
Str: 64Inf: 1
Stellan Skarsgård ↗
Str: 36Inf: 1
Joyce Giraud ↗
Str: 16Inf: 1
John Doman ↗
Str: 49Inf: 1
Jamie Hector ↗
Str: 25Inf: 1
Stelios Kazantzidis ↗
Str: 16Inf: 1
Markos Vamvakaris ↗
Str: 16Inf: 1
The Weather Girls: Well-A-Wiggy ↗
Str: 1Inf: 1
The Wire ↗
Str: 25Inf: 1
The Girl with the Dragon Tattoo ↗
Str: 441Inf: 1
PAPER/BOY ↗
Str: 1Inf: 1

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

Outbound Tags (4)
PAPER/BOY
The Girl with the Dragon Tattoo
The Weather Girls: Well-A-Wiggy
The Wire
Inbound Posts (4)
PAPER/BOY
The Girl with the Dragon Tattoo
The Wire
The Weather Girls: Well-A-Wiggy
Last calculated: Jul 9, 12:02 AM
30

Related Content

Actors

  • John Doman
  • Noomi Rapace
  • Rooney Mara
  • Daniel Craig
  • Steven Berkoff
  • Stellan Skarsgård
  • Eva Fritjofson
  • Ulf Friberg
  • Robin Wright
  • Geraldine James
  • Leo Bill
  • Donald Sumpter
  • Goran Visnjic
  • Bengt C.W. Carlsson
  • Yorick van Wageningen
  • Josefin Asplund
  • Christopher Plummer
  • Moa Garpendal
  • Jamie Hector
  • Tony Way
  • Per Myrberg

Figures

  • Joyce Giraud
  • Markos Vamvakaris
  • Stelios Kazantzidis

Films

  • The Girl with the Dragon Tattoo
  • The Wire

Topics

  • The Weather Girls: Well-A-Wiggy