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Analyzing Network Connections...

Network Profile

Overall Strength
i
1.39% of network
(1.67 × 1027)
Strength Breakdown
  • This Post (1.39%)
  • Owen Wilson (10.50%)
  • Laura Dern (8.68%)
  • Harvey Keitel (7.03%)
  • Yul Vazquez (5.56%)
  • Dustin Hoffman (3.13%)
  • Vince Vaughn (3.13%)
  • Jessica Alba (1.39%)
  • Kat Kramer (1.39%)
  • Tom McCarthy (1.39%)
  • Deepak Chopra (1.39%)
  • Blythe Danner (0.78%)
  • Ben Stiller (0.78%)
  • Jack Axelrod (0.78%)
  • Tasha Smith (0.78%)
  • Couples Retreat (0.78%)
  • Teri Polo (0.35%)
  • Clent Bowers (0.09%)
  • Daisy Tahan (0.09%)
  • Olga Fonda (0.09%)
  • Beyond the Blackboard (0.09%)
  • Opposite Day (0.09%)
Dominant nodes (excluded from chart)
Little Fockers 28.13%Robert De Niro 22.22%
Influence Score
i
4.17% of network
(1)
Influence Breakdown
  • This Post (4.17%)
  • Jessica Alba (4.17%)
  • Owen Wilson (4.17%)
  • Kat Kramer (4.17%)
  • Robert De Niro (4.17%)
  • Harvey Keitel (4.17%)
  • Tom McCarthy (4.17%)
  • Deepak Chopra (4.17%)
  • Little Fockers (4.17%)
  • Yul Vazquez (4.17%)
  • Laura Dern (4.17%)
  • Dustin Hoffman (4.17%)
  • Blythe Danner (4.17%)
  • Ben Stiller (4.17%)
  • Clent Bowers (4.17%)
  • Daisy Tahan (4.17%)
  • Jack Axelrod (4.17%)
  • Olga Fonda (4.17%)
  • Teri Polo (4.17%)
  • Tasha Smith (4.17%)
  • Vince Vaughn (4.17%)
  • Couples Retreat (4.17%)
  • Beyond the Blackboard (4.17%)
  • Opposite Day (4.17%)
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 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 16 *
                           ( 16 [Jessica Alba] *
                            121 [Owen Wilson] *
                            16 [Kat Kramer] *
                            256 [Robert De Niro] *
                            81 [Harvey Keitel] *
                            16 [Tom McCarthy] *
                            16 [Deepak Chopra] *
                            324 [Little Fockers] *
                            64 [Yul Vazquez] *
                            100 [Laura Dern] *
                            36 [Dustin Hoffman] *
                            9 [Blythe Danner] *
                            9 [Ben Stiller] *
                            1 [Clent Bowers] *
                            1 [Daisy Tahan] *
                            9 [Jack Axelrod] *
                            1 [Olga Fonda] *
                            4 [Teri Polo] *
                            9 [Tasha Smith] *
                            36 [Vince Vaughn] *
                            9 [Couples Retreat] *
                            1 [Beyond the Blackboard] *
                            1 [Opposite Day]
                           )

                         = 1.67 x 10^27

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Jessica Alba] *
                            1 [Owen Wilson] *
                            1 [Kat Kramer] *
                            1 [Robert De Niro] *
                            1 [Harvey Keitel] *
                            1 [Tom McCarthy] *
                            1 [Deepak Chopra] *
                            1 [Little Fockers] *
                            1 [Yul Vazquez] *
                            1 [Laura Dern] *
                            1 [Dustin Hoffman] *
                            1 [Blythe Danner] *
                            1 [Ben Stiller] *
                            1 [Clent Bowers] *
                            1 [Daisy Tahan] *
                            1 [Jack Axelrod] *
                            1 [Olga Fonda] *
                            1 [Teri Polo] *
                            1 [Tasha Smith] *
                            1 [Vince Vaughn] *
                            1 [Couples Retreat] *
                            1 [Beyond the Blackboard] *
                            1 [Opposite Day]
                           )

                         = 1
Outbound 4 Tags on post
Inbound 4 Posts tagging this
Connections 23 Total nodes
Base Node Strength 16
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.39% (1.67 × 1027 overall)
  • This Post (1.39%)
  • Owen Wilson (10.50%)
  • Laura Dern (8.68%)
  • Harvey Keitel (7.03%)
  • Yul Vazquez (5.56%)
  • Dustin Hoffman (3.13%)
  • Vince Vaughn (3.13%)
  • Jessica Alba (1.39%)
  • Kat Kramer (1.39%)
  • Tom McCarthy (1.39%)
  • Deepak Chopra (1.39%)
  • Blythe Danner (0.78%)
  • Ben Stiller (0.78%)
  • Jack Axelrod (0.78%)
  • Tasha Smith (0.78%)
  • Couples Retreat (0.78%)
  • Teri Polo (0.35%)
  • Clent Bowers (0.09%)
  • Daisy Tahan (0.09%)
  • Olga Fonda (0.09%)
  • Beyond the Blackboard (0.09%)
  • Opposite Day (0.09%)
Dominant nodes (excluded from chart)
Little Fockers 28.13%Robert De Niro 22.22%
Influence Share (vs Direct Neighbours)
4.17% (1 overall)
  • This Post (4.17%)
  • Jessica Alba (4.17%)
  • Owen Wilson (4.17%)
  • Kat Kramer (4.17%)
  • Robert De Niro (4.17%)
  • Harvey Keitel (4.17%)
  • Tom McCarthy (4.17%)
  • Deepak Chopra (4.17%)
  • Little Fockers (4.17%)
  • Yul Vazquez (4.17%)
  • Laura Dern (4.17%)
  • Dustin Hoffman (4.17%)
  • Blythe Danner (4.17%)
  • Ben Stiller (4.17%)
  • Clent Bowers (4.17%)
  • Daisy Tahan (4.17%)
  • Jack Axelrod (4.17%)
  • Olga Fonda (4.17%)
  • Teri Polo (4.17%)
  • Tasha Smith (4.17%)
  • Vince Vaughn (4.17%)
  • Couples Retreat (4.17%)
  • Beyond the Blackboard (4.17%)
  • Opposite Day (4.17%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Jessica Alba ↗
Str: 16Inf: 1
Owen Wilson ↗
Str: 121Inf: 1
Kat Kramer ↗
Str: 16Inf: 1
Robert De Niro ↗
Str: 256Inf: 1
Harvey Keitel ↗
Str: 81Inf: 1
Tom McCarthy ↗
Str: 16Inf: 1
Deepak Chopra ↗
Str: 16Inf: 1
Little Fockers ↗
Str: 324Inf: 1
Yul Vazquez ↗
Str: 64Inf: 1
Laura Dern ↗
Str: 100Inf: 1
Dustin Hoffman ↗
Str: 36Inf: 1
Blythe Danner ↗
Str: 9Inf: 1
Ben Stiller ↗
Str: 9Inf: 1
Clent Bowers ↗
Str: 1Inf: 1
Daisy Tahan ↗
Str: 1Inf: 1
Jack Axelrod ↗
Str: 9Inf: 1
Olga Fonda ↗
Str: 1Inf: 1
Teri Polo ↗
Str: 4Inf: 1
Tasha Smith ↗
Str: 9Inf: 1
Vince Vaughn ↗
Str: 36Inf: 1
Couples Retreat ↗
Str: 9Inf: 1
Beyond the Blackboard ↗
Str: 1Inf: 1
Opposite Day ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Opposite Day ↗
Str: 1Inf: 1
Beyond the Blackboard ↗
Str: 1Inf: 1
Couples Retreat ↗
Str: 9Inf: 1
Vince Vaughn ↗
Str: 36Inf: 1
Tasha Smith ↗
Str: 9Inf: 1
Teri Polo ↗
Str: 4Inf: 1
Olga Fonda ↗
Str: 1Inf: 1
Jack Axelrod ↗
Str: 9Inf: 1
Daisy Tahan ↗
Str: 1Inf: 1
Clent Bowers ↗
Str: 1Inf: 1
Ben Stiller ↗
Str: 9Inf: 1
Blythe Danner ↗
Str: 9Inf: 1
Dustin Hoffman ↗
Str: 36Inf: 1
Laura Dern ↗
Str: 100Inf: 1
Yul Vazquez ↗
Str: 64Inf: 1
Little Fockers ↗
Str: 324Inf: 1
Deepak Chopra ↗
Str: 16Inf: 1
Tom McCarthy ↗
Str: 16Inf: 1
Harvey Keitel ↗
Str: 81Inf: 1
Robert De Niro ↗
Str: 256Inf: 1
Kat Kramer ↗
Str: 16Inf: 1
Owen Wilson ↗
Str: 121Inf: 1
Jessica Alba ↗
Str: 16Inf: 1

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

Outbound Tags (4)
Beyond the Blackboard
Couples Retreat
Little Fockers
Opposite Day
Inbound Posts (4)
Little Fockers
Couples Retreat
Beyond the Blackboard
Opposite Day
Last calculated: Sep 1, 6:51 PM
29

Related Content

Actors

  • Jessica Alba
  • Yul Vazquez
  • Olga Fonda
  • Owen Wilson
  • Laura Dern
  • Teri Polo
  • Dustin Hoffman
  • Tasha Smith
  • Robert De Niro
  • Blythe Danner
  • Vince Vaughn
  • Harvey Keitel
  • Ben Stiller
  • Tom McCarthy
  • Clent Bowers
  • Deepak Chopra
  • Daisy Tahan
  • Jack Axelrod

Figures

  • Kat Kramer

Films

  • Couples Retreat
  • Beyond the Blackboard
  • Opposite Day
  • Little Fockers