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Elarica JohnsonKrista KosonenVilma SzécsiEdward James Olmos
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
0.45% of network
(1.05 × 1027)
Strength Breakdown
  • This Post (0.45%)
  • Robin Wright (7.13%)
  • Harrison Ford (7.13%)
  • Ryan Gosling (5.46%)
  • All Systems Go! (4.01%)
  • Jared Leto (4.01%)
  • Dave Bautista (4.01%)
  • John Kastner (2.78%)
  • Wood Harris (2.78%)
  • Sean Young (2.78%)
  • David Dastmalchian (1.78%)
  • Tómas Lemarquis (1.78%)
  • Serguéi Prokófiev (1.00%)
  • Krista Kosonen (1.00%)
  • Hiam Abbass (0.89%)
  • Harold Arlen (0.67%)
  • Thomas D'Arcy (0.45%)
  • Ana de Armas (0.45%)
  • Edward James Olmos (0.45%)
  • Elarica Johnson (0.45%)
  • Mackenzie Davis (0.45%)
  • Sylvia Hoeks (0.45%)
  • 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 49.11%
Influence Score
i
3.49% of network
(1.33)
Influence Breakdown
  • This Post (3.49%)
  • Hiam Abbass (6.98%)
  • All Systems Go! (3.49%)
  • Thomas D'Arcy (3.49%)
  • Dean Dallas Bentley (3.49%)
  • John Kastner (3.49%)
  • Matt Taylor (13) (3.49%)
  • Peter Arsenault (3.49%)
  • Blade Runner 2049 (3.49%)
  • Serguéi Prokófiev (3.49%)
  • Jared Leto (3.49%)
  • Dave Bautista (3.49%)
  • Robin Wright (3.49%)
  • David Dastmalchian (3.49%)
  • Wood Harris (3.49%)
  • Ana de Armas (3.49%)
  • Edward James Olmos (3.49%)
  • Elarica Johnson (3.49%)
  • Harrison Ford (3.49%)
  • Krista Kosonen (3.49%)
  • Mackenzie Davis (3.49%)
  • Ryan Gosling (3.49%)
  • Sallie Harmsen (3.49%)
  • Sylvia Hoeks (3.49%)
  • Tómas Lemarquis (3.49%)
  • Vilma Szécsi (3.49%)
  • Sean Young (3.49%)
  • Harold Arlen (2.33%)
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] *
                            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] *
                            9 [Serguéi Prokófiev] *
                            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] *
                            64 [Harrison Ford] *
                            9 [Krista Kosonen] *
                            4 [Mackenzie Davis] *
                            49 [Ryan Gosling] *
                            1 [Sallie Harmsen] *
                            4 [Sylvia Hoeks] *
                            16 [Tómas Lemarquis] *
                            1 [Vilma Szécsi] *
                            25 [Sean Young] *
                            6 [Harold Arlen]
                           )

                         = 1.05 x 10^27

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2 [Hiam Abbass] *
                            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 [Serguéi Prokófiev] *
                            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 [Harrison Ford] *
                            1 [Krista Kosonen] *
                            1 [Mackenzie Davis] *
                            1 [Ryan Gosling] *
                            1 [Sallie Harmsen] *
                            1 [Sylvia Hoeks] *
                            1 [Tómas Lemarquis] *
                            1 [Vilma Szécsi] *
                            1 [Sean Young] *
                            0.6667 [Harold Arlen]
                           )

                         = 1.33
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)
0.45% (1.05 × 1027 overall)
  • This Post (0.45%)
  • Robin Wright (7.13%)
  • Harrison Ford (7.13%)
  • Ryan Gosling (5.46%)
  • All Systems Go! (4.01%)
  • Jared Leto (4.01%)
  • Dave Bautista (4.01%)
  • John Kastner (2.78%)
  • Wood Harris (2.78%)
  • Sean Young (2.78%)
  • David Dastmalchian (1.78%)
  • Tómas Lemarquis (1.78%)
  • Serguéi Prokófiev (1.00%)
  • Krista Kosonen (1.00%)
  • Hiam Abbass (0.89%)
  • Harold Arlen (0.67%)
  • Thomas D'Arcy (0.45%)
  • Ana de Armas (0.45%)
  • Edward James Olmos (0.45%)
  • Elarica Johnson (0.45%)
  • Mackenzie Davis (0.45%)
  • Sylvia Hoeks (0.45%)
  • 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 49.11%
Influence Share (vs Direct Neighbours)
3.49% (1.33 overall)
  • This Post (3.49%)
  • Hiam Abbass (6.98%)
  • All Systems Go! (3.49%)
  • Thomas D'Arcy (3.49%)
  • Dean Dallas Bentley (3.49%)
  • John Kastner (3.49%)
  • Matt Taylor (13) (3.49%)
  • Peter Arsenault (3.49%)
  • Blade Runner 2049 (3.49%)
  • Serguéi Prokófiev (3.49%)
  • Jared Leto (3.49%)
  • Dave Bautista (3.49%)
  • Robin Wright (3.49%)
  • David Dastmalchian (3.49%)
  • Wood Harris (3.49%)
  • Ana de Armas (3.49%)
  • Edward James Olmos (3.49%)
  • Elarica Johnson (3.49%)
  • Harrison Ford (3.49%)
  • Krista Kosonen (3.49%)
  • Mackenzie Davis (3.49%)
  • Ryan Gosling (3.49%)
  • Sallie Harmsen (3.49%)
  • Sylvia Hoeks (3.49%)
  • Tómas Lemarquis (3.49%)
  • Vilma Szécsi (3.49%)
  • Sean Young (3.49%)
  • Harold Arlen (2.33%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Hiam Abbass ↗
Str: 8Inf: 2
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
Serguéi Prokófiev ↗
Str: 9Inf: 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
Harrison Ford ↗
Str: 64Inf: 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
Harold Arlen ↗
Str: 6Inf: 0.6667
Weakest Connections (Lowest Multipliers)
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
Sallie Harmsen ↗
Str: 1Inf: 1
Ryan Gosling ↗
Str: 49Inf: 1
Mackenzie Davis ↗
Str: 4Inf: 1
Krista Kosonen ↗
Str: 9Inf: 1
Harrison Ford ↗
Str: 64Inf: 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
Serguéi Prokófiev ↗
Str: 9Inf: 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
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: Sep 5, 7:26 PM
26

Related Content

Actors

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

Figures

  • Harold Arlen
  • Serguéi Prokófiev

Films

  • Blade Runner 2049