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Michael CountrymanBrian KoppelmanTom McCarthyMerritt WeverBill RaymondTom WilkinsonMichael ClaytonFrank WoodJulie WhiteAustin Williams

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Connected Musicians

  • Austin Williams

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.13% of network
(8.88 × 1019)
Strength Breakdown
  • This Post (0.13%)
  • Tom Wilkinson (10.57%)
  • Tilda Swinton (8.36%)
  • Julie White (4.70%)
  • John Douglas Thompson (3.26%)
  • Denis O'Hare (3.26%)
  • David Lansbury (2.09%)
  • Heidi Armbruster (2.09%)
  • Bill Raymond (2.09%)
  • Brian Koppelman (2.09%)
  • Tom McCarthy (2.09%)
  • Michael Countryman (1.57%)
  • Merritt Wever (1.17%)
  • Austin Williams (0.52%)
  • Frank Wood (0.52%)
  • Alberto Vazquez (0.13%)
  • Danielle Skraastad (0.13%)
  • Jonathan Walker (0.13%)
  • Richard Hecht (0.13%)
  • Wai Chan (0.13%)
Dominant nodes (excluded from chart)
Michael Clayton 54.83%
Influence Score
i
4.68% of network
(1.4)
Influence Breakdown
  • This Post (4.68%)
  • Michael Countryman (6.24%)
  • Michael Clayton (4.91%)
  • Austin Williams (4.68%)
  • David Lansbury (4.68%)
  • Tom Wilkinson (4.68%)
  • Tilda Swinton (4.68%)
  • Heidi Armbruster (4.68%)
  • Alberto Vazquez (4.68%)
  • Bill Raymond (4.68%)
  • Brian Koppelman (4.68%)
  • Danielle Skraastad (4.68%)
  • Frank Wood (4.68%)
  • Jonathan Walker (4.68%)
  • Julie White (4.68%)
  • Richard Hecht (4.68%)
  • Tom McCarthy (4.68%)
  • Wai Chan (4.68%)
  • Merritt Wever (4.68%)
  • John Douglas Thompson (4.68%)
  • Denis O'Hare (4.68%)
Direct Connections 2

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, 1) = 1
$outbound = max(1, 1) = 1

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1

// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 12 [Michael Countryman] *
                            420 [Michael Clayton] *
                            4 [Austin Williams] *
                            16 [David Lansbury] *
                            81 [Tom Wilkinson] *
                            64 [Tilda Swinton] *
                            16 [Heidi Armbruster] *
                            1 [Alberto Vazquez] *
                            16 [Bill Raymond] *
                            16 [Brian Koppelman] *
                            1 [Danielle Skraastad] *
                            4 [Frank Wood] *
                            1 [Jonathan Walker] *
                            36 [Julie White] *
                            1 [Richard Hecht] *
                            16 [Tom McCarthy] *
                            1 [Wai Chan] *
                            9 [Merritt Wever] *
                            25 [John Douglas Thompson] *
                            25 [Denis O'Hare]
                           )
                         = 8.88 x 10^19

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.33 [Michael Countryman] *
                            1.05 [Michael Clayton] *
                            1 [Austin Williams] *
                            1 [David Lansbury] *
                            1 [Tom Wilkinson] *
                            1 [Tilda Swinton] *
                            1 [Heidi Armbruster] *
                            1 [Alberto Vazquez] *
                            1 [Bill Raymond] *
                            1 [Brian Koppelman] *
                            1 [Danielle Skraastad] *
                            1 [Frank Wood] *
                            1 [Jonathan Walker] *
                            1 [Julie White] *
                            1 [Richard Hecht] *
                            1 [Tom McCarthy] *
                            1 [Wai Chan] *
                            1 [Merritt Wever] *
                            1 [John Douglas Thompson] *
                            1 [Denis O'Hare]
                           )
                         = 1.4
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 20 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.13% (8.88 × 1019 overall)
  • This Post (0.13%)
  • Tom Wilkinson (10.57%)
  • Tilda Swinton (8.36%)
  • Julie White (4.70%)
  • John Douglas Thompson (3.26%)
  • Denis O'Hare (3.26%)
  • David Lansbury (2.09%)
  • Heidi Armbruster (2.09%)
  • Bill Raymond (2.09%)
  • Brian Koppelman (2.09%)
  • Tom McCarthy (2.09%)
  • Michael Countryman (1.57%)
  • Merritt Wever (1.17%)
  • Austin Williams (0.52%)
  • Frank Wood (0.52%)
  • Alberto Vazquez (0.13%)
  • Danielle Skraastad (0.13%)
  • Jonathan Walker (0.13%)
  • Richard Hecht (0.13%)
  • Wai Chan (0.13%)
Dominant nodes (excluded from chart)
Michael Clayton 54.83%
Influence Share (vs Direct Neighbours)
4.68% (1.4 overall)
  • This Post (4.68%)
  • Michael Countryman (6.24%)
  • Michael Clayton (4.91%)
  • Austin Williams (4.68%)
  • David Lansbury (4.68%)
  • Tom Wilkinson (4.68%)
  • Tilda Swinton (4.68%)
  • Heidi Armbruster (4.68%)
  • Alberto Vazquez (4.68%)
  • Bill Raymond (4.68%)
  • Brian Koppelman (4.68%)
  • Danielle Skraastad (4.68%)
  • Frank Wood (4.68%)
  • Jonathan Walker (4.68%)
  • Julie White (4.68%)
  • Richard Hecht (4.68%)
  • Tom McCarthy (4.68%)
  • Wai Chan (4.68%)
  • Merritt Wever (4.68%)
  • John Douglas Thompson (4.68%)
  • Denis O'Hare (4.68%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Michael Countryman ↗
Str: 12Inf: 1.33
Michael Clayton ↗
Str: 420Inf: 1.05
Austin Williams ↗
Str: 4Inf: 1
David Lansbury ↗
Str: 16Inf: 1
Tom Wilkinson ↗
Str: 81Inf: 1
Tilda Swinton ↗
Str: 64Inf: 1
Heidi Armbruster ↗
Str: 16Inf: 1
Alberto Vazquez ↗
Str: 1Inf: 1
Bill Raymond ↗
Str: 16Inf: 1
Brian Koppelman ↗
Str: 16Inf: 1
Danielle Skraastad ↗
Str: 1Inf: 1
Frank Wood ↗
Str: 4Inf: 1
Jonathan Walker ↗
Str: 1Inf: 1
Julie White ↗
Str: 36Inf: 1
Richard Hecht ↗
Str: 1Inf: 1
Tom McCarthy ↗
Str: 16Inf: 1
Wai Chan ↗
Str: 1Inf: 1
Merritt Wever ↗
Str: 9Inf: 1
John Douglas Thompson ↗
Str: 25Inf: 1
Denis O'Hare ↗
Str: 25Inf: 1
Weakest Connections (Lowest Multipliers)
Denis O'Hare ↗
Str: 25Inf: 1
John Douglas Thompson ↗
Str: 25Inf: 1
Merritt Wever ↗
Str: 9Inf: 1
Wai Chan ↗
Str: 1Inf: 1
Tom McCarthy ↗
Str: 16Inf: 1
Richard Hecht ↗
Str: 1Inf: 1
Julie White ↗
Str: 36Inf: 1
Jonathan Walker ↗
Str: 1Inf: 1
Frank Wood ↗
Str: 4Inf: 1
Danielle Skraastad ↗
Str: 1Inf: 1
Brian Koppelman ↗
Str: 16Inf: 1
Bill Raymond ↗
Str: 16Inf: 1
Alberto Vazquez ↗
Str: 1Inf: 1
Heidi Armbruster ↗
Str: 16Inf: 1
Tilda Swinton ↗
Str: 64Inf: 1
Tom Wilkinson ↗
Str: 81Inf: 1
David Lansbury ↗
Str: 16Inf: 1
Austin Williams ↗
Str: 4Inf: 1
Michael Clayton ↗
Str: 420Inf: 1.05
Michael Countryman ↗
Str: 12Inf: 1.33

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

Outbound Tags (1)
Michael Clayton
Inbound Posts (1)
Michael Clayton
Last calculated: Jun 8, 6:41 PM
31

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