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Connected Musicians

  • Mark Ryan

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.69% of network
(1.47 × 1029)
Strength Breakdown
  • This Post (0.69%)
  • Andy Serkis (6.21%)
  • Ricky Jay (4.91%)
  • Scott Glenn (4.91%)
  • Hugh Jackman (3.76%)
  • Rebecca Hall (1.92%)
  • Piper Perabo (1.92%)
  • Christopher Neame (1.23%)
  • Roger Rees (1.23%)
  • Ron Perkins (1.23%)
  • Radu Gavor (1.23%)
  • david bowie (0.69%)
  • Jamie Harris (0.69%)
  • The Hunt for Red October (0.69%)
  • Mark Ryan (0.31%)
  • Samantha Mahurin (0.31%)
  • Jim Piddock (0.08%)
  • Monty Stuart (0.08%)
  • The Nanny (0.08%)
Dominant nodes (excluded from chart)
The Prestige 24.85%Scarlett Johansson 15.03%Michael Caine 15.03%Christian Bale 12.96%
Influence Score
i
4.35% of network
(1)
Influence Breakdown
  • This Post (4.35%)
  • Mark Ryan (4.35%)
  • david bowie (4.35%)
  • Christian Bale (4.35%)
  • Rebecca Hall (4.35%)
  • Scarlett Johansson (4.35%)
  • Andy Serkis (4.35%)
  • Michael Caine (4.35%)
  • Jamie Harris (4.35%)
  • The Prestige (4.35%)
  • Hugh Jackman (4.35%)
  • Christopher Neame (4.35%)
  • Jim Piddock (4.35%)
  • Monty Stuart (4.35%)
  • Piper Perabo (4.35%)
  • Ricky Jay (4.35%)
  • Roger Rees (4.35%)
  • Ron Perkins (4.35%)
  • Samantha Mahurin (4.35%)
  • The Hunt for Red October (4.35%)
  • The Nanny (4.35%)
  • Scott Glenn (4.35%)
  • Radu Gavor (4.35%)
Direct Connections 6

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, 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 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 4 [Mark Ryan] *
                            9 [david bowie] *
                            169 [Christian Bale] *
                            25 [Rebecca Hall] *
                            196 [Scarlett Johansson] *
                            81 [Andy Serkis] *
                            196 [Michael Caine] *
                            9 [Jamie Harris] *
                            324 [The Prestige] *
                            49 [Hugh Jackman] *
                            16 [Christopher Neame] *
                            1 [Jim Piddock] *
                            1 [Monty Stuart] *
                            25 [Piper Perabo] *
                            64 [Ricky Jay] *
                            16 [Roger Rees] *
                            16 [Ron Perkins] *
                            4 [Samantha Mahurin] *
                            9 [The Hunt for Red October] *
                            1 [The Nanny] *
                            64 [Scott Glenn] *
                            16 [Radu Gavor]
                           )

                         = 1.47 x 10^29

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Mark Ryan] *
                            1 [david bowie] *
                            1 [Christian Bale] *
                            1 [Rebecca Hall] *
                            1 [Scarlett Johansson] *
                            1 [Andy Serkis] *
                            1 [Michael Caine] *
                            1 [Jamie Harris] *
                            1 [The Prestige] *
                            1 [Hugh Jackman] *
                            1 [Christopher Neame] *
                            1 [Jim Piddock] *
                            1 [Monty Stuart] *
                            1 [Piper Perabo] *
                            1 [Ricky Jay] *
                            1 [Roger Rees] *
                            1 [Ron Perkins] *
                            1 [Samantha Mahurin] *
                            1 [The Hunt for Red October] *
                            1 [The Nanny] *
                            1 [Scott Glenn] *
                            1 [Radu Gavor]
                           )

                         = 1
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 22 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.69% (1.47 × 1029 overall)
  • This Post (0.69%)
  • Andy Serkis (6.21%)
  • Ricky Jay (4.91%)
  • Scott Glenn (4.91%)
  • Hugh Jackman (3.76%)
  • Rebecca Hall (1.92%)
  • Piper Perabo (1.92%)
  • Christopher Neame (1.23%)
  • Roger Rees (1.23%)
  • Ron Perkins (1.23%)
  • Radu Gavor (1.23%)
  • david bowie (0.69%)
  • Jamie Harris (0.69%)
  • The Hunt for Red October (0.69%)
  • Mark Ryan (0.31%)
  • Samantha Mahurin (0.31%)
  • Jim Piddock (0.08%)
  • Monty Stuart (0.08%)
  • The Nanny (0.08%)
Dominant nodes (excluded from chart)
The Prestige 24.85%Scarlett Johansson 15.03%Michael Caine 15.03%Christian Bale 12.96%
Influence Share (vs Direct Neighbours)
4.35% (1 overall)
  • This Post (4.35%)
  • Mark Ryan (4.35%)
  • david bowie (4.35%)
  • Christian Bale (4.35%)
  • Rebecca Hall (4.35%)
  • Scarlett Johansson (4.35%)
  • Andy Serkis (4.35%)
  • Michael Caine (4.35%)
  • Jamie Harris (4.35%)
  • The Prestige (4.35%)
  • Hugh Jackman (4.35%)
  • Christopher Neame (4.35%)
  • Jim Piddock (4.35%)
  • Monty Stuart (4.35%)
  • Piper Perabo (4.35%)
  • Ricky Jay (4.35%)
  • Roger Rees (4.35%)
  • Ron Perkins (4.35%)
  • Samantha Mahurin (4.35%)
  • The Hunt for Red October (4.35%)
  • The Nanny (4.35%)
  • Scott Glenn (4.35%)
  • Radu Gavor (4.35%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Mark Ryan ↗
Str: 4Inf: 1
david bowie ↗
Str: 9Inf: 1
Christian Bale ↗
Str: 169Inf: 1
Rebecca Hall ↗
Str: 25Inf: 1
Scarlett Johansson ↗
Str: 196Inf: 1
Andy Serkis ↗
Str: 81Inf: 1
Michael Caine ↗
Str: 196Inf: 1
Jamie Harris ↗
Str: 9Inf: 1
The Prestige ↗
Str: 324Inf: 1
Hugh Jackman ↗
Str: 49Inf: 1
Christopher Neame ↗
Str: 16Inf: 1
Jim Piddock ↗
Str: 1Inf: 1
Monty Stuart ↗
Str: 1Inf: 1
Piper Perabo ↗
Str: 25Inf: 1
Ricky Jay ↗
Str: 64Inf: 1
Roger Rees ↗
Str: 16Inf: 1
Ron Perkins ↗
Str: 16Inf: 1
Samantha Mahurin ↗
Str: 4Inf: 1
The Hunt for Red October ↗
Str: 9Inf: 1
The Nanny ↗
Str: 1Inf: 1
Scott Glenn ↗
Str: 64Inf: 1
Radu Gavor ↗
Str: 16Inf: 1
Weakest Connections (Lowest Multipliers)
Radu Gavor ↗
Str: 16Inf: 1
Scott Glenn ↗
Str: 64Inf: 1
The Nanny ↗
Str: 1Inf: 1
The Hunt for Red October ↗
Str: 9Inf: 1
Samantha Mahurin ↗
Str: 4Inf: 1
Ron Perkins ↗
Str: 16Inf: 1
Roger Rees ↗
Str: 16Inf: 1
Ricky Jay ↗
Str: 64Inf: 1
Piper Perabo ↗
Str: 25Inf: 1
Monty Stuart ↗
Str: 1Inf: 1
Jim Piddock ↗
Str: 1Inf: 1
Christopher Neame ↗
Str: 16Inf: 1
Hugh Jackman ↗
Str: 49Inf: 1
The Prestige ↗
Str: 324Inf: 1
Jamie Harris ↗
Str: 9Inf: 1
Michael Caine ↗
Str: 196Inf: 1
Andy Serkis ↗
Str: 81Inf: 1
Scarlett Johansson ↗
Str: 196Inf: 1
Rebecca Hall ↗
Str: 25Inf: 1
Christian Bale ↗
Str: 169Inf: 1
david bowie ↗
Str: 9Inf: 1
Mark Ryan ↗
Str: 4Inf: 1

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

Outbound Tags (3)
The Hunt for Red October
The Nanny
The Prestige
Inbound Posts (3)
The Prestige
The Hunt for Red October
The Nanny
Last calculated: Aug 31, 12:39 PM
20

Related Content

Actors

  • Andy Serkis
  • Piper Perabo
  • Radu Gavor
  • Michael Caine
  • Ricky Jay
  • Jamie Harris
  • Roger Rees
  • Ron Perkins
  • david bowie
  • Hugh Jackman
  • Samantha Mahurin
  • Christian Bale
  • Christopher Neame
  • Rebecca Hall
  • Jim Piddock
  • Scarlett Johansson
  • Monty Stuart
  • Scott Glenn

Films

  • The Prestige
  • The Hunt for Red October
  • The Nanny