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Blade Runner 2049

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Connected Bands/Artists

  • All Systems Go!

Connected Musicians

  • Dean Dallas Bentley
  • Jared Leto
    Jared Leto band photo
  • John Kastner
  • Matt Taylor (13)
  • Peter Arsenault
  • Thomas D’Arcy

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.44% of network
(1.58 × 1027)
Strength Breakdown
  • This Post (0.44%)
  • Harrison Ford (7.92%)
  • Robin Wright (7.04%)
  • Ryan Gosling (5.39%)
  • All Systems Go! (3.96%)
  • Jared Leto (3.96%)
  • Dave Bautista (3.96%)
  • John Kastner (2.75%)
  • Wood Harris (2.75%)
  • Sean Young (2.75%)
  • David Dastmalchian (1.76%)
  • Tómas Lemarquis (1.76%)
  • Serguéi Prokófiev (1.32%)
  • Krista Kosonen (0.99%)
  • Hiam Abbass (0.88%)
  • Harold Arlen (0.66%)
  • Thomas D'Arcy (0.44%)
  • Ana de Armas (0.44%)
  • Edward James Olmos (0.44%)
  • Elarica Johnson (0.44%)
  • Mackenzie Davis (0.44%)
  • Sylvia Hoeks (0.44%)
  • Dean Dallas Bentley (0.11%)
  • Matt Taylor (13) (0.11%)
  • Peter Arsenault (0.11%)
  • Sallie Harmsen (0.11%)
  • Vilma Szécsi (0.11%)
Dominant nodes (excluded from chart)
Blade Runner 2049 48.51%
Influence Score
i
3.50% of network
(1.13)
Influence Breakdown
  • This Post (3.50%)
  • Hiam Abbass (7.01%)
  • Harrison Ford (3.94%)
  • All Systems Go! (3.50%)
  • Thomas D'Arcy (3.50%)
  • Dean Dallas Bentley (3.50%)
  • John Kastner (3.50%)
  • Matt Taylor (13) (3.50%)
  • Peter Arsenault (3.50%)
  • Blade Runner 2049 (3.50%)
  • Jared Leto (3.50%)
  • Dave Bautista (3.50%)
  • Robin Wright (3.50%)
  • David Dastmalchian (3.50%)
  • Wood Harris (3.50%)
  • Ana de Armas (3.50%)
  • Edward James Olmos (3.50%)
  • Elarica Johnson (3.50%)
  • Krista Kosonen (3.50%)
  • Mackenzie Davis (3.50%)
  • Ryan Gosling (3.50%)
  • Sallie Harmsen (3.50%)
  • Sylvia Hoeks (3.50%)
  • Tómas Lemarquis (3.50%)
  • Vilma Szécsi (3.50%)
  • Sean Young (3.50%)
  • Serguéi Prokófiev (2.63%)
  • Harold Arlen (2.34%)
Direct Connections 4

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, 2) = 2
$outbound = max(1, 2) = 2

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

// 3. Exponential Network Values (accumulating 27 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 8 [Hiam Abbass] *
                            72 [Harrison Ford] *
                            36 [All Systems Go!] *
                            4 [Thomas D'Arcy] *
                            1 [Dean Dallas Bentley] *
                            25 [John Kastner] *
                            1 [Matt Taylor (13)] *
                            1 [Peter Arsenault] *
                            441 [Blade Runner 2049] *
                            36 [Jared Leto] *
                            36 [Dave Bautista] *
                            64 [Robin Wright] *
                            16 [David Dastmalchian] *
                            25 [Wood Harris] *
                            4 [Ana de Armas] *
                            4 [Edward James Olmos] *
                            4 [Elarica Johnson] *
                            9 [Krista Kosonen] *
                            4 [Mackenzie Davis] *
                            49 [Ryan Gosling] *
                            1 [Sallie Harmsen] *
                            4 [Sylvia Hoeks] *
                            16 [Tómas Lemarquis] *
                            1 [Vilma Szécsi] *
                            25 [Sean Young] *
                            12 [Serguéi Prokófiev] *
                            6 [Harold Arlen]
                           )

                         = 1.58 x 10^27

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2 [Hiam Abbass] *
                            1.13 [Harrison Ford] *
                            1 [All Systems Go!] *
                            1 [Thomas D'Arcy] *
                            1 [Dean Dallas Bentley] *
                            1 [John Kastner] *
                            1 [Matt Taylor (13)] *
                            1 [Peter Arsenault] *
                            1 [Blade Runner 2049] *
                            1 [Jared Leto] *
                            1 [Dave Bautista] *
                            1 [Robin Wright] *
                            1 [David Dastmalchian] *
                            1 [Wood Harris] *
                            1 [Ana de Armas] *
                            1 [Edward James Olmos] *
                            1 [Elarica Johnson] *
                            1 [Krista Kosonen] *
                            1 [Mackenzie Davis] *
                            1 [Ryan Gosling] *
                            1 [Sallie Harmsen] *
                            1 [Sylvia Hoeks] *
                            1 [Tómas Lemarquis] *
                            1 [Vilma Szécsi] *
                            1 [Sean Young] *
                            0.75 [Serguéi Prokófiev] *
                            0.6667 [Harold Arlen]
                           )

                         = 1.13
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 27 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.44% (1.58 × 1027 overall)
  • This Post (0.44%)
  • Harrison Ford (7.92%)
  • Robin Wright (7.04%)
  • Ryan Gosling (5.39%)
  • All Systems Go! (3.96%)
  • Jared Leto (3.96%)
  • Dave Bautista (3.96%)
  • John Kastner (2.75%)
  • Wood Harris (2.75%)
  • Sean Young (2.75%)
  • David Dastmalchian (1.76%)
  • Tómas Lemarquis (1.76%)
  • Serguéi Prokófiev (1.32%)
  • Krista Kosonen (0.99%)
  • Hiam Abbass (0.88%)
  • Harold Arlen (0.66%)
  • Thomas D'Arcy (0.44%)
  • Ana de Armas (0.44%)
  • Edward James Olmos (0.44%)
  • Elarica Johnson (0.44%)
  • Mackenzie Davis (0.44%)
  • Sylvia Hoeks (0.44%)
  • Dean Dallas Bentley (0.11%)
  • Matt Taylor (13) (0.11%)
  • Peter Arsenault (0.11%)
  • Sallie Harmsen (0.11%)
  • Vilma Szécsi (0.11%)
Dominant nodes (excluded from chart)
Blade Runner 2049 48.51%
Influence Share (vs Direct Neighbours)
3.50% (1.13 overall)
  • This Post (3.50%)
  • Hiam Abbass (7.01%)
  • Harrison Ford (3.94%)
  • All Systems Go! (3.50%)
  • Thomas D'Arcy (3.50%)
  • Dean Dallas Bentley (3.50%)
  • John Kastner (3.50%)
  • Matt Taylor (13) (3.50%)
  • Peter Arsenault (3.50%)
  • Blade Runner 2049 (3.50%)
  • Jared Leto (3.50%)
  • Dave Bautista (3.50%)
  • Robin Wright (3.50%)
  • David Dastmalchian (3.50%)
  • Wood Harris (3.50%)
  • Ana de Armas (3.50%)
  • Edward James Olmos (3.50%)
  • Elarica Johnson (3.50%)
  • Krista Kosonen (3.50%)
  • Mackenzie Davis (3.50%)
  • Ryan Gosling (3.50%)
  • Sallie Harmsen (3.50%)
  • Sylvia Hoeks (3.50%)
  • Tómas Lemarquis (3.50%)
  • Vilma Szécsi (3.50%)
  • Sean Young (3.50%)
  • Serguéi Prokófiev (2.63%)
  • Harold Arlen (2.34%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Hiam Abbass ↗
Str: 8Inf: 2
Harrison Ford ↗
Str: 72Inf: 1.13
All Systems Go! ↗
Str: 36Inf: 1
Thomas D'Arcy ↗
Str: 4Inf: 1
Dean Dallas Bentley ↗
Str: 1Inf: 1
John Kastner ↗
Str: 25Inf: 1
Matt Taylor (13) ↗
Str: 1Inf: 1
Peter Arsenault ↗
Str: 1Inf: 1
Blade Runner 2049 ↗
Str: 441Inf: 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
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
Sallie Harmsen ↗
Str: 1Inf: 1
Sylvia Hoeks ↗
Str: 4Inf: 1
Tómas Lemarquis ↗
Str: 16Inf: 1
Vilma Szécsi ↗
Str: 1Inf: 1
Sean Young ↗
Str: 25Inf: 1
Serguéi Prokófiev ↗
Str: 12Inf: 0.75
Harold Arlen ↗
Str: 6Inf: 0.6667
Weakest Connections (Lowest Multipliers)
Harold Arlen ↗
Str: 6Inf: 0.6667
Serguéi Prokófiev ↗
Str: 12Inf: 0.75
Sean Young ↗
Str: 25Inf: 1
Vilma Szécsi ↗
Str: 1Inf: 1
Tómas Lemarquis ↗
Str: 16Inf: 1
Sylvia Hoeks ↗
Str: 4Inf: 1
Sallie Harmsen ↗
Str: 1Inf: 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
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
Blade Runner 2049 ↗
Str: 441Inf: 1
Peter Arsenault ↗
Str: 1Inf: 1
Matt Taylor (13) ↗
Str: 1Inf: 1
John Kastner ↗
Str: 25Inf: 1
Dean Dallas Bentley ↗
Str: 1Inf: 1
Thomas D'Arcy ↗
Str: 4Inf: 1
All Systems Go! ↗
Str: 36Inf: 1
Harrison Ford ↗
Str: 72Inf: 1.13
Hiam Abbass ↗
Str: 8Inf: 2

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

Outbound Tags (2)
All Systems Go!
Blade Runner 2049
Inbound Posts (2)
All Systems Go!
Blade Runner 2049
Last calculated: Jun 20, 6:22 AM
26

Related Content

Actors

  • Robin Wright
  • Krista Kosonen
  • David Dastmalchian
  • Mackenzie Davis
  • Wood Harris
  • Ryan Gosling
  • Ana de Armas
  • Sallie Harmsen
  • Edward James Olmos
  • Sylvia Hoeks
  • Elarica Johnson
  • Tómas Lemarquis
  • Harrison Ford
  • Vilma Szécsi
  • Dave Bautista
  • Hiam Abbass
  • Sean Young

Figures

  • Harold Arlen
  • Serguéi Prokófiev

Films

  • Blade Runner 2049