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Crimes and MisdemeanorsWoody AllenClaire BloomMia Farrow
Alicia de LarrochaJoanna GleasonGregg EdelmanJenny NicholsJerry OrbachDonna Castellano

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Connected Musicians

  • Woody Allen

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.18% of network
(705.86T)
Strength Breakdown
  • This Post (0.18%)
  • Martin Landau (6.35%)
  • Anjelica Huston (4.41%)
  • Gregg Edelman (2.82%)
  • Joanna Gleason (2.82%)
  • Jerry Orbach (2.82%)
  • Sam Waterston (1.59%)
  • Joel Fogel (0.71%)
  • Stephanie Roth Haberle (0.71%)
  • Mia Farrow (0.71%)
  • George J. Manos (0.71%)
  • Alicia de Larrocha (0.53%)
  • Bill Bernstein (0.18%)
  • Claire Bloom (0.18%)
  • Donna Castellano (0.18%)
  • Jenny Nichols (0.18%)
  • Thomas Crowe (0.18%)
  • Zina Jasper (0.18%)
Dominant nodes (excluded from chart)
Crimes and Misdemeanors 60.32%Woody Allen 14.29%
Influence Score
i
4.56% of network
(2.84)
Influence Breakdown
  • This Post (4.56%)
  • Alicia de Larrocha (13.67%)
  • Woody Allen (4.56%)
  • Gregg Edelman (4.56%)
  • Joanna Gleason (4.56%)
  • Jerry Orbach (4.56%)
  • Martin Landau (4.56%)
  • Anjelica Huston (4.56%)
  • Joel Fogel (4.56%)
  • Stephanie Roth Haberle (4.56%)
  • Bill Bernstein (4.56%)
  • Claire Bloom (4.56%)
  • Donna Castellano (4.56%)
  • Jenny Nichols (4.56%)
  • Mia Farrow (4.56%)
  • Sam Waterston (4.56%)
  • George J. Manos (4.56%)
  • Thomas Crowe (4.56%)
  • Zina Jasper (4.56%)
  • Crimes and Misdemeanors (4.32%)
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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 3 [Alicia de Larrocha] *
                            81 [Woody Allen] *
                            16 [Gregg Edelman] *
                            16 [Joanna Gleason] *
                            16 [Jerry Orbach] *
                            36 [Martin Landau] *
                            25 [Anjelica Huston] *
                            4 [Joel Fogel] *
                            4 [Stephanie Roth Haberle] *
                            1 [Bill Bernstein] *
                            1 [Claire Bloom] *
                            1 [Donna Castellano] *
                            1 [Jenny Nichols] *
                            4 [Mia Farrow] *
                            9 [Sam Waterston] *
                            4 [George J. Manos] *
                            1 [Thomas Crowe] *
                            1 [Zina Jasper] *
                            342 [Crimes and Misdemeanors]
                           )
                         = 705.86T

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 3 [Alicia de Larrocha] *
                            1 [Woody Allen] *
                            1 [Gregg Edelman] *
                            1 [Joanna Gleason] *
                            1 [Jerry Orbach] *
                            1 [Martin Landau] *
                            1 [Anjelica Huston] *
                            1 [Joel Fogel] *
                            1 [Stephanie Roth Haberle] *
                            1 [Bill Bernstein] *
                            1 [Claire Bloom] *
                            1 [Donna Castellano] *
                            1 [Jenny Nichols] *
                            1 [Mia Farrow] *
                            1 [Sam Waterston] *
                            1 [George J. Manos] *
                            1 [Thomas Crowe] *
                            1 [Zina Jasper] *
                            0.9474 [Crimes and Misdemeanors]
                           )
                         = 2.84
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 19 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.18% (705.86T overall)
  • This Post (0.18%)
  • Martin Landau (6.35%)
  • Anjelica Huston (4.41%)
  • Gregg Edelman (2.82%)
  • Joanna Gleason (2.82%)
  • Jerry Orbach (2.82%)
  • Sam Waterston (1.59%)
  • Joel Fogel (0.71%)
  • Stephanie Roth Haberle (0.71%)
  • Mia Farrow (0.71%)
  • George J. Manos (0.71%)
  • Alicia de Larrocha (0.53%)
  • Bill Bernstein (0.18%)
  • Claire Bloom (0.18%)
  • Donna Castellano (0.18%)
  • Jenny Nichols (0.18%)
  • Thomas Crowe (0.18%)
  • Zina Jasper (0.18%)
Dominant nodes (excluded from chart)
Crimes and Misdemeanors 60.32%Woody Allen 14.29%
Influence Share (vs Direct Neighbours)
4.56% (2.84 overall)
  • This Post (4.56%)
  • Alicia de Larrocha (13.67%)
  • Woody Allen (4.56%)
  • Gregg Edelman (4.56%)
  • Joanna Gleason (4.56%)
  • Jerry Orbach (4.56%)
  • Martin Landau (4.56%)
  • Anjelica Huston (4.56%)
  • Joel Fogel (4.56%)
  • Stephanie Roth Haberle (4.56%)
  • Bill Bernstein (4.56%)
  • Claire Bloom (4.56%)
  • Donna Castellano (4.56%)
  • Jenny Nichols (4.56%)
  • Mia Farrow (4.56%)
  • Sam Waterston (4.56%)
  • George J. Manos (4.56%)
  • Thomas Crowe (4.56%)
  • Zina Jasper (4.56%)
  • Crimes and Misdemeanors (4.32%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Alicia de Larrocha ↗
Str: 3Inf: 3
Woody Allen ↗
Str: 81Inf: 1
Gregg Edelman ↗
Str: 16Inf: 1
Joanna Gleason ↗
Str: 16Inf: 1
Jerry Orbach ↗
Str: 16Inf: 1
Martin Landau ↗
Str: 36Inf: 1
Anjelica Huston ↗
Str: 25Inf: 1
Joel Fogel ↗
Str: 4Inf: 1
Stephanie Roth Haberle ↗
Str: 4Inf: 1
Bill Bernstein ↗
Str: 1Inf: 1
Claire Bloom ↗
Str: 1Inf: 1
Donna Castellano ↗
Str: 1Inf: 1
Jenny Nichols ↗
Str: 1Inf: 1
Mia Farrow ↗
Str: 4Inf: 1
Sam Waterston ↗
Str: 9Inf: 1
George J. Manos ↗
Str: 4Inf: 1
Thomas Crowe ↗
Str: 1Inf: 1
Zina Jasper ↗
Str: 1Inf: 1
Crimes and Misdemeanors ↗
Str: 342Inf: 0.9474
Weakest Connections (Lowest Multipliers)
Crimes and Misdemeanors ↗
Str: 342Inf: 0.9474
Zina Jasper ↗
Str: 1Inf: 1
Thomas Crowe ↗
Str: 1Inf: 1
George J. Manos ↗
Str: 4Inf: 1
Sam Waterston ↗
Str: 9Inf: 1
Mia Farrow ↗
Str: 4Inf: 1
Jenny Nichols ↗
Str: 1Inf: 1
Donna Castellano ↗
Str: 1Inf: 1
Claire Bloom ↗
Str: 1Inf: 1
Bill Bernstein ↗
Str: 1Inf: 1
Stephanie Roth Haberle ↗
Str: 4Inf: 1
Joel Fogel ↗
Str: 4Inf: 1
Anjelica Huston ↗
Str: 25Inf: 1
Martin Landau ↗
Str: 36Inf: 1
Jerry Orbach ↗
Str: 16Inf: 1
Joanna Gleason ↗
Str: 16Inf: 1
Gregg Edelman ↗
Str: 16Inf: 1
Woody Allen ↗
Str: 81Inf: 1
Alicia de Larrocha ↗
Str: 3Inf: 3

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

Outbound Tags (1)
Crimes and Misdemeanors
Inbound Posts (1)
Crimes and Misdemeanors
Last calculated: Jun 9, 12:31 AM
30

Related Content

Actors

  • Stephanie Roth Haberle
  • Thomas Crowe
  • Gregg Edelman
  • Bill Bernstein
  • Zina Jasper
  • Claire Bloom
  • Joanna Gleason
  • Donna Castellano
  • Jerry Orbach
  • Jenny Nichols
  • Martin Landau
  • Mia Farrow
  • Anjelica Huston
  • Sam Waterston
  • Joel Fogel
  • George J. Manos

Figures

  • Alicia de Larrocha

Films

  • Crimes and Misdemeanors