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Bob OdenkirkMary Louise WilsonBrokeback Mountain
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Five Easy Pieces

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.18% of network
(4.01 × 1016)
Strength Breakdown
  • This Post (1.18%)
  • Will Forte (16.47%)
  • Linda Cardellini (16.47%)
  • Wesley Snipes (14.41%)
  • Bob Odenkirk (12.35%)
  • June Squibb (8.82%)
  • Jake Gyllenhaal (7.35%)
  • Rance Howard (5.88%)
  • Mary Louise Wilson (5.88%)
  • Rosie Perez (4.71%)
  • White Men Can't Jump (2.65%)
  • Nebraska (1.76%)
  • Brokeback Mountain (1.76%)
  • Bob Rafelson (0.29%)
Influence Score
i
23.55% of network
(1.27)
Influence Breakdown
  • This Post (23.55%)
  • Rance Howard (7.36%)
  • Mary Louise Wilson (7.36%)
  • June Squibb (7.06%)
  • Bob Odenkirk (6.87%)
  • Will Forte (6.73%)
  • Linda Cardellini (6.73%)
  • White Men Can't Jump (5.89%)
  • Jake Gyllenhaal (5.89%)
  • Rosie Perez (5.89%)
  • Wesley Snipes (5.89%)
  • Bob Rafelson (5.89%)
  • Brokeback Mountain (3.93%)
  • Nebraska (0.98%)
Direct Connections 5

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, 1) = 1

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 1 = 4
Base_Influence (IV) = $inbound / $outbound = 4 / 1 = 4

// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 20 [Rance Howard] *
                            20 [Mary Louise Wilson] *
                            30 [June Squibb] *
                            42 [Bob Odenkirk] *
                            56 [Will Forte] *
                            56 [Linda Cardellini] *
                            9 [White Men Can't Jump] *
                            25 [Jake Gyllenhaal] *
                            16 [Rosie Perez] *
                            49 [Wesley Snipes] *
                            1 [Bob Rafelson] *
                            6 [Brokeback Mountain] *
                            6 [Nebraska]
                           )
                         = 4.01 x 10^16

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 4 *
                           ( 1.25 [Rance Howard] *
                            1.25 [Mary Louise Wilson] *
                            1.2 [June Squibb] *
                            1.17 [Bob Odenkirk] *
                            1.14 [Will Forte] *
                            1.14 [Linda Cardellini] *
                            1 [White Men Can't Jump] *
                            1 [Jake Gyllenhaal] *
                            1 [Rosie Perez] *
                            1 [Wesley Snipes] *
                            1 [Bob Rafelson] *
                            0.6667 [Brokeback Mountain] *
                            0.1667 [Nebraska]
                           )
                         = 1.27
Outbound 4 Tags on post
Inbound 1 Posts tagging this
Connections 13 Total nodes
Base Node Strength 4
Base Node Influence 4
Strength Share (vs Direct Neighbours)
1.18% (4.01 × 1016 overall)
  • This Post (1.18%)
  • Will Forte (16.47%)
  • Linda Cardellini (16.47%)
  • Wesley Snipes (14.41%)
  • Bob Odenkirk (12.35%)
  • June Squibb (8.82%)
  • Jake Gyllenhaal (7.35%)
  • Rance Howard (5.88%)
  • Mary Louise Wilson (5.88%)
  • Rosie Perez (4.71%)
  • White Men Can't Jump (2.65%)
  • Nebraska (1.76%)
  • Brokeback Mountain (1.76%)
  • Bob Rafelson (0.29%)
Influence Share (vs Direct Neighbours)
23.55% (1.27 overall)
  • This Post (23.55%)
  • Rance Howard (7.36%)
  • Mary Louise Wilson (7.36%)
  • June Squibb (7.06%)
  • Bob Odenkirk (6.87%)
  • Will Forte (6.73%)
  • Linda Cardellini (6.73%)
  • White Men Can't Jump (5.89%)
  • Jake Gyllenhaal (5.89%)
  • Rosie Perez (5.89%)
  • Wesley Snipes (5.89%)
  • Bob Rafelson (5.89%)
  • Brokeback Mountain (3.93%)
  • Nebraska (0.98%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Rance Howard ↗
Str: 20Inf: 1.25
Mary Louise Wilson ↗
Str: 20Inf: 1.25
June Squibb ↗
Str: 30Inf: 1.2
Bob Odenkirk ↗
Str: 42Inf: 1.17
Will Forte ↗
Str: 56Inf: 1.14
Linda Cardellini ↗
Str: 56Inf: 1.14
White Men Can't Jump ↗
Str: 9Inf: 1
Jake Gyllenhaal ↗
Str: 25Inf: 1
Rosie Perez ↗
Str: 16Inf: 1
Wesley Snipes ↗
Str: 49Inf: 1
Bob Rafelson ↗
Str: 1Inf: 1
Brokeback Mountain ↗
Str: 6Inf: 0.6667
Nebraska ↗
Str: 6Inf: 0.1667
Weakest Connections (Lowest Multipliers)
Nebraska ↗
Str: 6Inf: 0.1667
Brokeback Mountain ↗
Str: 6Inf: 0.6667
Bob Rafelson ↗
Str: 1Inf: 1
Wesley Snipes ↗
Str: 49Inf: 1
Rosie Perez ↗
Str: 16Inf: 1
Jake Gyllenhaal ↗
Str: 25Inf: 1
White Men Can't Jump ↗
Str: 9Inf: 1
Linda Cardellini ↗
Str: 56Inf: 1.14
Will Forte ↗
Str: 56Inf: 1.14
Bob Odenkirk ↗
Str: 42Inf: 1.17
June Squibb ↗
Str: 30Inf: 1.2
Mary Louise Wilson ↗
Str: 20Inf: 1.25
Rance Howard ↗
Str: 20Inf: 1.25

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

Outbound Tags (4)
Brokeback Mountain
BROKEN LINK
Five Easy Pieces
BROKEN LINK
Nebraska
BROKEN LINK
White Men Can't Jump
Inbound Posts (1)
White Men Can't Jump
Last calculated: Jun 9, 3:45 AM
33

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Actors

  • Rance Howard
  • Rosie Perez
  • June Squibb
  • Wesley Snipes
  • Will Forte
  • Mary Louise Wilson
  • Jake Gyllenhaal
  • Linda Cardellini
  • Bob Odenkirk

Films

  • White Men Can't Jump
  • Brokeback Mountain

Regionals

  • Nebraska

Topics

  • Bob Rafelson