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Martin HendersonTodd BoyceMac McDonald
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Connected Musicians

  • Martin Henderson

Analyzing Network Connections...

Network Profile

Overall Strength
i
2.57% of network
(5.78 × 1016)
Strength Breakdown
  • This Post (2.57%)
  • Martin Henderson (4.01%)
  • Philip Winchester (4.01%)
  • Kate Robbins (4.01%)
  • Mac McDonald (3.21%)
  • Tyler Labine (2.57%)
  • Ruth Bradley (2.57%)
  • Augustin Legrand (1.93%)
  • Abdul Salis (0.96%)
  • Tim Pigott-Smith (0.64%)
  • Jean-Philippe Écoffey (0.64%)
  • Jean Reno (0.16%)
  • David Ellison (0.16%)
  • Gail Downey (0.16%)
  • Karen Ford (0.16%)
  • Scott Hazell (0.16%)
  • Todd Boyce (0.16%)
  • Courted (0.16%)
  • Lulu und Jimi (0.16%)
  • Jeux de haute société (0.16%)
Dominant nodes (excluded from chart)
Flyboys 52.01%James Franco 19.42%
Influence Score
i
4.42% of network
(1.6)
Influence Breakdown
  • This Post (4.42%)
  • Abdul Salis (6.63%)
  • Augustin Legrand (5.89%)
  • Martin Henderson (4.42%)
  • Jean Reno (4.42%)
  • James Franco (4.42%)
  • Tyler Labine (4.42%)
  • Flyboys (4.42%)
  • Tim Pigott-Smith (4.42%)
  • David Ellison (4.42%)
  • Gail Downey (4.42%)
  • Karen Ford (4.42%)
  • Philip Winchester (4.42%)
  • Ruth Bradley (4.42%)
  • Scott Hazell (4.42%)
  • Kate Robbins (4.42%)
  • Todd Boyce (4.42%)
  • Jean-Philippe Écoffey (4.42%)
  • Courted (4.42%)
  • Lulu und Jimi (4.42%)
  • Jeux de haute société (4.42%)
  • Mac McDonald (3.53%)
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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 16 *
                           ( 6 [Abdul Salis] *
                            12 [Augustin Legrand] *
                            25 [Martin Henderson] *
                            1 [Jean Reno] *
                            121 [James Franco] *
                            16 [Tyler Labine] *
                            324 [Flyboys] *
                            4 [Tim Pigott-Smith] *
                            1 [David Ellison] *
                            1 [Gail Downey] *
                            1 [Karen Ford] *
                            25 [Philip Winchester] *
                            16 [Ruth Bradley] *
                            1 [Scott Hazell] *
                            25 [Kate Robbins] *
                            1 [Todd Boyce] *
                            4 [Jean-Philippe Écoffey] *
                            1 [Courted] *
                            1 [Lulu und Jimi] *
                            1 [Jeux de haute société] *
                            20 [Mac McDonald]
                           )

                         = 5.78 x 10^16

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.5 [Abdul Salis] *
                            1.33 [Augustin Legrand] *
                            1 [Martin Henderson] *
                            1 [Jean Reno] *
                            1 [James Franco] *
                            1 [Tyler Labine] *
                            1 [Flyboys] *
                            1 [Tim Pigott-Smith] *
                            1 [David Ellison] *
                            1 [Gail Downey] *
                            1 [Karen Ford] *
                            1 [Philip Winchester] *
                            1 [Ruth Bradley] *
                            1 [Scott Hazell] *
                            1 [Kate Robbins] *
                            1 [Todd Boyce] *
                            1 [Jean-Philippe Écoffey] *
                            1 [Courted] *
                            1 [Lulu und Jimi] *
                            1 [Jeux de haute société] *
                            0.8 [Mac McDonald]
                           )

                         = 1.6
Outbound 4 Tags on post
Inbound 4 Posts tagging this
Connections 21 Total nodes
Base Node Strength 16
Base Node Influence 1
Strength Share (vs Direct Neighbours)
2.57% (5.78 × 1016 overall)
  • This Post (2.57%)
  • Martin Henderson (4.01%)
  • Philip Winchester (4.01%)
  • Kate Robbins (4.01%)
  • Mac McDonald (3.21%)
  • Tyler Labine (2.57%)
  • Ruth Bradley (2.57%)
  • Augustin Legrand (1.93%)
  • Abdul Salis (0.96%)
  • Tim Pigott-Smith (0.64%)
  • Jean-Philippe Écoffey (0.64%)
  • Jean Reno (0.16%)
  • David Ellison (0.16%)
  • Gail Downey (0.16%)
  • Karen Ford (0.16%)
  • Scott Hazell (0.16%)
  • Todd Boyce (0.16%)
  • Courted (0.16%)
  • Lulu und Jimi (0.16%)
  • Jeux de haute société (0.16%)
Dominant nodes (excluded from chart)
Flyboys 52.01%James Franco 19.42%
Influence Share (vs Direct Neighbours)
4.42% (1.6 overall)
  • This Post (4.42%)
  • Abdul Salis (6.63%)
  • Augustin Legrand (5.89%)
  • Martin Henderson (4.42%)
  • Jean Reno (4.42%)
  • James Franco (4.42%)
  • Tyler Labine (4.42%)
  • Flyboys (4.42%)
  • Tim Pigott-Smith (4.42%)
  • David Ellison (4.42%)
  • Gail Downey (4.42%)
  • Karen Ford (4.42%)
  • Philip Winchester (4.42%)
  • Ruth Bradley (4.42%)
  • Scott Hazell (4.42%)
  • Kate Robbins (4.42%)
  • Todd Boyce (4.42%)
  • Jean-Philippe Écoffey (4.42%)
  • Courted (4.42%)
  • Lulu und Jimi (4.42%)
  • Jeux de haute société (4.42%)
  • Mac McDonald (3.53%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Abdul Salis ↗
Str: 6Inf: 1.5
Augustin Legrand ↗
Str: 12Inf: 1.33
Martin Henderson ↗
Str: 25Inf: 1
Jean Reno ↗
Str: 1Inf: 1
James Franco ↗
Str: 121Inf: 1
Tyler Labine ↗
Str: 16Inf: 1
Flyboys ↗
Str: 324Inf: 1
Tim Pigott-Smith ↗
Str: 4Inf: 1
David Ellison ↗
Str: 1Inf: 1
Gail Downey ↗
Str: 1Inf: 1
Karen Ford ↗
Str: 1Inf: 1
Philip Winchester ↗
Str: 25Inf: 1
Ruth Bradley ↗
Str: 16Inf: 1
Scott Hazell ↗
Str: 1Inf: 1
Kate Robbins ↗
Str: 25Inf: 1
Todd Boyce ↗
Str: 1Inf: 1
Jean-Philippe Écoffey ↗
Str: 4Inf: 1
Courted ↗
Str: 1Inf: 1
Lulu und Jimi ↗
Str: 1Inf: 1
Jeux de haute société ↗
Str: 1Inf: 1
Mac McDonald ↗
Str: 20Inf: 0.8
Weakest Connections (Lowest Multipliers)
Mac McDonald ↗
Str: 20Inf: 0.8
Jeux de haute société ↗
Str: 1Inf: 1
Lulu und Jimi ↗
Str: 1Inf: 1
Courted ↗
Str: 1Inf: 1
Jean-Philippe Écoffey ↗
Str: 4Inf: 1
Todd Boyce ↗
Str: 1Inf: 1
Kate Robbins ↗
Str: 25Inf: 1
Scott Hazell ↗
Str: 1Inf: 1
Ruth Bradley ↗
Str: 16Inf: 1
Philip Winchester ↗
Str: 25Inf: 1
Karen Ford ↗
Str: 1Inf: 1
Gail Downey ↗
Str: 1Inf: 1
David Ellison ↗
Str: 1Inf: 1
Tim Pigott-Smith ↗
Str: 4Inf: 1
Flyboys ↗
Str: 324Inf: 1
Tyler Labine ↗
Str: 16Inf: 1
James Franco ↗
Str: 121Inf: 1
Jean Reno ↗
Str: 1Inf: 1
Martin Henderson ↗
Str: 25Inf: 1
Augustin Legrand ↗
Str: 12Inf: 1.33
Abdul Salis ↗
Str: 6Inf: 1.5

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

Outbound Tags (4)
Courted
Flyboys
Jeux de haute société
Lulu und Jimi
Inbound Posts (4)
Flyboys
Courted
Lulu und Jimi
Jeux de haute société
Last calculated: Jun 9, 6:23 PM
29

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Actors

  • Jean Reno
  • Gail Downey
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  • Karen Ford
  • Tyler Labine
  • Mac McDonald
  • Philip Winchester
  • Tim Pigott-Smith
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  • Kate Robbins
  • David Ellison
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Films

  • Courted
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  • Jeux de haute société