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Blade Runner 2049
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Connected Musicians

  • Jared Leto
    Jared Leto band photo
  • Mark Arnold

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Jerry Richards17.3 km away
  • 📍
    Narrows Dam and Power Plant Complex48.1 km away
  • 📍
    King Mountain61.2 km away
  • 📍
    Winston81.3 km away
  • 📍
    Forsyth County84.1 km away

Network Profile

Overall Strength
i
0.39% of network
(5.97 × 1029)
Strength Breakdown
  • This Post (0.39%)
  • Giovanni Ribisi (9.73%)
  • Robin Wright (6.23%)
  • Harrison Ford (6.23%)
  • Ryan Gosling (4.77%)
  • Jude Law (4.77%)
  • Jared Leto (3.50%)
  • Dave Bautista (3.50%)
  • Sky Captain and the World of Tomorrow (2.43%)
  • Wood Harris (2.43%)
  • Sean Young (2.43%)
  • Jeff Toy (2.43%)
  • David Dastmalchian (1.56%)
  • Tómas Lemarquis (1.56%)
  • Serguéi Prokófiev (0.88%)
  • Krista Kosonen (0.88%)
  • Hiam Abbass (0.78%)
  • Mark Arnold (0.39%)
  • Ana de Armas (0.39%)
  • Edward James Olmos (0.39%)
  • Elarica Johnson (0.39%)
  • Mackenzie Davis (0.39%)
  • Sylvia Hoeks (0.39%)
  • Sallie Harmsen (0.10%)
  • Vilma Szécsi (0.10%)
  • Yip Harburg (0.10%)
Dominant nodes (excluded from chart)
Blade Runner 2049 42.90%
Influence Score
i
3.57% of network
(2)
Influence Breakdown
  • This Post (3.57%)
  • Hiam Abbass (7.14%)
  • Blade Runner 2049 (3.57%)
  • Sky Captain and the World of Tomorrow (3.57%)
  • Mark Arnold (3.57%)
  • Serguéi Prokófiev (3.57%)
  • Jared Leto (3.57%)
  • Dave Bautista (3.57%)
  • Robin Wright (3.57%)
  • David Dastmalchian (3.57%)
  • Wood Harris (3.57%)
  • Ana de Armas (3.57%)
  • Edward James Olmos (3.57%)
  • Elarica Johnson (3.57%)
  • Harrison Ford (3.57%)
  • Krista Kosonen (3.57%)
  • Mackenzie Davis (3.57%)
  • Ryan Gosling (3.57%)
  • Sallie Harmsen (3.57%)
  • Sylvia Hoeks (3.57%)
  • Tómas Lemarquis (3.57%)
  • Vilma Szécsi (3.57%)
  • Sean Young (3.57%)
  • Jeff Toy (3.57%)
  • Yip Harburg (3.57%)
  • Jude Law (3.57%)
  • Giovanni Ribisi (3.57%)
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 26 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 8 [Hiam Abbass] *
                            441 [Blade Runner 2049] *
                            25 [Sky Captain and the World of Tomorrow] *
                            4 [Mark Arnold] *
                            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] *
                            25 [Jeff Toy] *
                            1 [Yip Harburg] *
                            49 [Jude Law] *
                            100 [Giovanni Ribisi]
                           )

                         = 5.97 x 10^29

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2 [Hiam Abbass] *
                            1 [Blade Runner 2049] *
                            1 [Sky Captain and the World of Tomorrow] *
                            1 [Mark Arnold] *
                            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] *
                            1 [Jeff Toy] *
                            1 [Yip Harburg] *
                            1 [Jude Law] *
                            1 [Giovanni Ribisi]
                           )

                         = 2
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 26 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.39% (5.97 × 1029 overall)
  • This Post (0.39%)
  • Giovanni Ribisi (9.73%)
  • Robin Wright (6.23%)
  • Harrison Ford (6.23%)
  • Ryan Gosling (4.77%)
  • Jude Law (4.77%)
  • Jared Leto (3.50%)
  • Dave Bautista (3.50%)
  • Sky Captain and the World of Tomorrow (2.43%)
  • Wood Harris (2.43%)
  • Sean Young (2.43%)
  • Jeff Toy (2.43%)
  • David Dastmalchian (1.56%)
  • Tómas Lemarquis (1.56%)
  • Serguéi Prokófiev (0.88%)
  • Krista Kosonen (0.88%)
  • Hiam Abbass (0.78%)
  • Mark Arnold (0.39%)
  • Ana de Armas (0.39%)
  • Edward James Olmos (0.39%)
  • Elarica Johnson (0.39%)
  • Mackenzie Davis (0.39%)
  • Sylvia Hoeks (0.39%)
  • Sallie Harmsen (0.10%)
  • Vilma Szécsi (0.10%)
  • Yip Harburg (0.10%)
Dominant nodes (excluded from chart)
Blade Runner 2049 42.90%
Influence Share (vs Direct Neighbours)
3.57% (2 overall)
  • This Post (3.57%)
  • Hiam Abbass (7.14%)
  • Blade Runner 2049 (3.57%)
  • Sky Captain and the World of Tomorrow (3.57%)
  • Mark Arnold (3.57%)
  • Serguéi Prokófiev (3.57%)
  • Jared Leto (3.57%)
  • Dave Bautista (3.57%)
  • Robin Wright (3.57%)
  • David Dastmalchian (3.57%)
  • Wood Harris (3.57%)
  • Ana de Armas (3.57%)
  • Edward James Olmos (3.57%)
  • Elarica Johnson (3.57%)
  • Harrison Ford (3.57%)
  • Krista Kosonen (3.57%)
  • Mackenzie Davis (3.57%)
  • Ryan Gosling (3.57%)
  • Sallie Harmsen (3.57%)
  • Sylvia Hoeks (3.57%)
  • Tómas Lemarquis (3.57%)
  • Vilma Szécsi (3.57%)
  • Sean Young (3.57%)
  • Jeff Toy (3.57%)
  • Yip Harburg (3.57%)
  • Jude Law (3.57%)
  • Giovanni Ribisi (3.57%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Hiam Abbass ↗
Str: 8Inf: 2
Blade Runner 2049 ↗
Str: 441Inf: 1
Sky Captain and the World of Tomorrow ↗
Str: 25Inf: 1
Mark Arnold ↗
Str: 4Inf: 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
Jeff Toy ↗
Str: 25Inf: 1
Yip Harburg ↗
Str: 1Inf: 1
Jude Law ↗
Str: 49Inf: 1
Giovanni Ribisi ↗
Str: 100Inf: 1
Weakest Connections (Lowest Multipliers)
Giovanni Ribisi ↗
Str: 100Inf: 1
Jude Law ↗
Str: 49Inf: 1
Yip Harburg ↗
Str: 1Inf: 1
Jeff Toy ↗
Str: 25Inf: 1
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
Mark Arnold ↗
Str: 4Inf: 1
Sky Captain and the World of Tomorrow ↗
Str: 25Inf: 1
Blade Runner 2049 ↗
Str: 441Inf: 1
Hiam Abbass ↗
Str: 8Inf: 2

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

Outbound Tags (2)
Blade Runner 2049
Sky Captain and the World of Tomorrow
Inbound Posts (2)
Blade Runner 2049
Sky Captain and the World of Tomorrow
Last calculated: Sep 28, 9:22 PM
Hertfordshire, United States38

Related Content

Actors

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

Figures

  • Jeff Toy
  • Yip Harburg
  • Serguéi Prokófiev

Films

  • Blade Runner 2049
  • Sky Captain and the World of Tomorrow