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Blade Runner 2049

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Connected Musicians

  • Jared Leto
    Jared Leto band photo
  • Mark Arnold

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.12% of network
(2.19 × 1023)
Strength Breakdown
  • This Post (0.12%)
  • Harrison Ford (8.62%)
  • Robin Wright (7.66%)
  • Ryan Gosling (5.87%)
  • Jared Leto (4.31%)
  • Dave Bautista (4.31%)
  • Wood Harris (2.99%)
  • Sean Young (2.99%)
  • David Dastmalchian (1.92%)
  • Tómas Lemarquis (1.92%)
  • Krista Kosonen (1.08%)
  • Hiam Abbass (0.96%)
  • Harold Arlen (0.72%)
  • Serguéi Prokófiev (0.72%)
  • Mark Arnold (0.48%)
  • Ana de Armas (0.48%)
  • Edward James Olmos (0.48%)
  • Elarica Johnson (0.48%)
  • Mackenzie Davis (0.48%)
  • Sylvia Hoeks (0.48%)
  • Vilma Szécsi (0.12%)
Dominant nodes (excluded from chart)
Blade Runner 2049 52.81%
Influence Score
i
4.45% of network
(1)
Influence Breakdown
  • This Post (4.45%)
  • Hiam Abbass (8.91%)
  • Harrison Ford (5.01%)
  • Mark Arnold (4.45%)
  • Jared Leto (4.45%)
  • Dave Bautista (4.45%)
  • Robin Wright (4.45%)
  • David Dastmalchian (4.45%)
  • Wood Harris (4.45%)
  • Blade Runner 2049 (4.45%)
  • Ana de Armas (4.45%)
  • Edward James Olmos (4.45%)
  • Elarica Johnson (4.45%)
  • Krista Kosonen (4.45%)
  • Mackenzie Davis (4.45%)
  • Ryan Gosling (4.45%)
  • Sylvia Hoeks (4.45%)
  • Tómas Lemarquis (4.45%)
  • Vilma Szécsi (4.45%)
  • Sean Young (4.45%)
  • Harold Arlen (2.97%)
  • Serguéi Prokófiev (2.97%)
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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 8 [Hiam Abbass] *
                            72 [Harrison Ford] *
                            4 [Mark Arnold] *
                            36 [Jared Leto] *
                            36 [Dave Bautista] *
                            64 [Robin Wright] *
                            16 [David Dastmalchian] *
                            25 [Wood Harris] *
                            441 [Blade Runner 2049] *
                            4 [Ana de Armas] *
                            4 [Edward James Olmos] *
                            4 [Elarica Johnson] *
                            9 [Krista Kosonen] *
                            4 [Mackenzie Davis] *
                            49 [Ryan Gosling] *
                            4 [Sylvia Hoeks] *
                            16 [Tómas Lemarquis] *
                            1 [Vilma Szécsi] *
                            25 [Sean Young] *
                            6 [Harold Arlen] *
                            6 [Serguéi Prokófiev]
                           )

                         = 2.19 x 10^23

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2 [Hiam Abbass] *
                            1.13 [Harrison Ford] *
                            1 [Mark Arnold] *
                            1 [Jared Leto] *
                            1 [Dave Bautista] *
                            1 [Robin Wright] *
                            1 [David Dastmalchian] *
                            1 [Wood Harris] *
                            1 [Blade Runner 2049] *
                            1 [Ana de Armas] *
                            1 [Edward James Olmos] *
                            1 [Elarica Johnson] *
                            1 [Krista Kosonen] *
                            1 [Mackenzie Davis] *
                            1 [Ryan Gosling] *
                            1 [Sylvia Hoeks] *
                            1 [Tómas Lemarquis] *
                            1 [Vilma Szécsi] *
                            1 [Sean Young] *
                            0.6667 [Harold Arlen] *
                            0.6667 [Serguéi Prokófiev]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 21 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.12% (2.19 × 1023 overall)
  • This Post (0.12%)
  • Harrison Ford (8.62%)
  • Robin Wright (7.66%)
  • Ryan Gosling (5.87%)
  • Jared Leto (4.31%)
  • Dave Bautista (4.31%)
  • Wood Harris (2.99%)
  • Sean Young (2.99%)
  • David Dastmalchian (1.92%)
  • Tómas Lemarquis (1.92%)
  • Krista Kosonen (1.08%)
  • Hiam Abbass (0.96%)
  • Harold Arlen (0.72%)
  • Serguéi Prokófiev (0.72%)
  • Mark Arnold (0.48%)
  • Ana de Armas (0.48%)
  • Edward James Olmos (0.48%)
  • Elarica Johnson (0.48%)
  • Mackenzie Davis (0.48%)
  • Sylvia Hoeks (0.48%)
  • Vilma Szécsi (0.12%)
Dominant nodes (excluded from chart)
Blade Runner 2049 52.81%
Influence Share (vs Direct Neighbours)
4.45% (1 overall)
  • This Post (4.45%)
  • Hiam Abbass (8.91%)
  • Harrison Ford (5.01%)
  • Mark Arnold (4.45%)
  • Jared Leto (4.45%)
  • Dave Bautista (4.45%)
  • Robin Wright (4.45%)
  • David Dastmalchian (4.45%)
  • Wood Harris (4.45%)
  • Blade Runner 2049 (4.45%)
  • Ana de Armas (4.45%)
  • Edward James Olmos (4.45%)
  • Elarica Johnson (4.45%)
  • Krista Kosonen (4.45%)
  • Mackenzie Davis (4.45%)
  • Ryan Gosling (4.45%)
  • Sylvia Hoeks (4.45%)
  • Tómas Lemarquis (4.45%)
  • Vilma Szécsi (4.45%)
  • Sean Young (4.45%)
  • Harold Arlen (2.97%)
  • Serguéi Prokófiev (2.97%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Hiam Abbass ↗
Str: 8Inf: 2
Harrison Ford ↗
Str: 72Inf: 1.13
Mark Arnold ↗
Str: 4Inf: 1
Jared Leto ↗
Str: 36Inf: 1
Dave Bautista ↗
Str: 36Inf: 1
Robin Wright ↗
Str: 64Inf: 1
David Dastmalchian ↗
Str: 16Inf: 1
Wood Harris ↗
Str: 25Inf: 1
Blade Runner 2049 ↗
Str: 441Inf: 1
Ana de Armas ↗
Str: 4Inf: 1
Edward James Olmos ↗
Str: 4Inf: 1
Elarica Johnson ↗
Str: 4Inf: 1
Krista Kosonen ↗
Str: 9Inf: 1
Mackenzie Davis ↗
Str: 4Inf: 1
Ryan Gosling ↗
Str: 49Inf: 1
Sylvia Hoeks ↗
Str: 4Inf: 1
Tómas Lemarquis ↗
Str: 16Inf: 1
Vilma Szécsi ↗
Str: 1Inf: 1
Sean Young ↗
Str: 25Inf: 1
Harold Arlen ↗
Str: 6Inf: 0.6667
Serguéi Prokófiev ↗
Str: 6Inf: 0.6667
Weakest Connections (Lowest Multipliers)
Serguéi Prokófiev ↗
Str: 6Inf: 0.6667
Harold Arlen ↗
Str: 6Inf: 0.6667
Sean Young ↗
Str: 25Inf: 1
Vilma Szécsi ↗
Str: 1Inf: 1
Tómas Lemarquis ↗
Str: 16Inf: 1
Sylvia Hoeks ↗
Str: 4Inf: 1
Ryan Gosling ↗
Str: 49Inf: 1
Mackenzie Davis ↗
Str: 4Inf: 1
Krista Kosonen ↗
Str: 9Inf: 1
Elarica Johnson ↗
Str: 4Inf: 1
Edward James Olmos ↗
Str: 4Inf: 1
Ana de Armas ↗
Str: 4Inf: 1
Blade Runner 2049 ↗
Str: 441Inf: 1
Wood Harris ↗
Str: 25Inf: 1
David Dastmalchian ↗
Str: 16Inf: 1
Robin Wright ↗
Str: 64Inf: 1
Dave Bautista ↗
Str: 36Inf: 1
Jared Leto ↗
Str: 36Inf: 1
Mark Arnold ↗
Str: 4Inf: 1
Harrison Ford ↗
Str: 72Inf: 1.13
Hiam Abbass ↗
Str: 8Inf: 2

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

Outbound Tags (1)
Blade Runner 2049
Inbound Posts (1)
Blade Runner 2049
Last calculated: Jun 22, 6:17 AM
29

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