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The Man from U.N.C.L.E.
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Analyzing Network Connections...

Network Profile

Overall Strength
i
1.56% of network
(1.02 × 1018)
Strength Breakdown
  • This Post (1.56%)
  • Hugh Grant (6.24%)
  • Jared Harris (4.33%)
  • Joyce Jillson (2.77%)
  • Sylvester Groth (2.77%)
  • Elizabeth Debicki (2.77%)
  • Alicia Vikander (2.77%)
  • Armie Hammer (2.77%)
  • David Menkin (2.77%)
  • Marianna Di Martino (2.77%)
  • Guy Williams (1.56%)
  • Alessandro Fabrizi (1.56%)
  • Henry Cavill (0.69%)
  • The International (0.69%)
  • Andrea Cagliesi (0.17%)
  • Christian Berkel (0.17%)
  • Julian M. Deuster (0.17%)
  • Misha Kuznetsov (0.17%)
  • Pablo Scola (0.17%)
  • Peter Stark (0.17%)
  • Riccardo Calvanese (0.17%)
  • To Rome with Love (0.17%)
Dominant nodes (excluded from chart)
The Man from U.N.C.L.E. 62.56%
Influence Score
i
4.35% of network
(1)
Influence Breakdown
  • This Post (4.35%)
  • Joyce Jillson (4.35%)
  • Sylvester Groth (4.35%)
  • Elizabeth Debicki (4.35%)
  • The Man from U.N.C.L.E. (4.35%)
  • Alicia Vikander (4.35%)
  • Andrea Cagliesi (4.35%)
  • Armie Hammer (4.35%)
  • Christian Berkel (4.35%)
  • David Menkin (4.35%)
  • Guy Williams (4.35%)
  • Henry Cavill (4.35%)
  • Hugh Grant (4.35%)
  • Jared Harris (4.35%)
  • Julian M. Deuster (4.35%)
  • Marianna Di Martino (4.35%)
  • Misha Kuznetsov (4.35%)
  • Pablo Scola (4.35%)
  • Peter Stark (4.35%)
  • Riccardo Calvanese (4.35%)
  • Alessandro Fabrizi (4.35%)
  • The International (4.35%)
  • To Rome with Love (4.35%)
Direct Connections 6

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, 3) = 3
$outbound = max(1, 3) = 3

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1

// 3. Exponential Network Values (accumulating 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 16 [Joyce Jillson] *
                            16 [Sylvester Groth] *
                            16 [Elizabeth Debicki] *
                            361 [The Man from U.N.C.L.E.] *
                            16 [Alicia Vikander] *
                            1 [Andrea Cagliesi] *
                            16 [Armie Hammer] *
                            1 [Christian Berkel] *
                            16 [David Menkin] *
                            9 [Guy Williams] *
                            4 [Henry Cavill] *
                            36 [Hugh Grant] *
                            25 [Jared Harris] *
                            1 [Julian M. Deuster] *
                            16 [Marianna Di Martino] *
                            1 [Misha Kuznetsov] *
                            1 [Pablo Scola] *
                            1 [Peter Stark] *
                            1 [Riccardo Calvanese] *
                            9 [Alessandro Fabrizi] *
                            4 [The International] *
                            1 [To Rome with Love]
                           )

                         = 1.02 x 10^18

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Joyce Jillson] *
                            1 [Sylvester Groth] *
                            1 [Elizabeth Debicki] *
                            1 [The Man from U.N.C.L.E.] *
                            1 [Alicia Vikander] *
                            1 [Andrea Cagliesi] *
                            1 [Armie Hammer] *
                            1 [Christian Berkel] *
                            1 [David Menkin] *
                            1 [Guy Williams] *
                            1 [Henry Cavill] *
                            1 [Hugh Grant] *
                            1 [Jared Harris] *
                            1 [Julian M. Deuster] *
                            1 [Marianna Di Martino] *
                            1 [Misha Kuznetsov] *
                            1 [Pablo Scola] *
                            1 [Peter Stark] *
                            1 [Riccardo Calvanese] *
                            1 [Alessandro Fabrizi] *
                            1 [The International] *
                            1 [To Rome with Love]
                           )

                         = 1
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 22 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.56% (1.02 × 1018 overall)
  • This Post (1.56%)
  • Hugh Grant (6.24%)
  • Jared Harris (4.33%)
  • Joyce Jillson (2.77%)
  • Sylvester Groth (2.77%)
  • Elizabeth Debicki (2.77%)
  • Alicia Vikander (2.77%)
  • Armie Hammer (2.77%)
  • David Menkin (2.77%)
  • Marianna Di Martino (2.77%)
  • Guy Williams (1.56%)
  • Alessandro Fabrizi (1.56%)
  • Henry Cavill (0.69%)
  • The International (0.69%)
  • Andrea Cagliesi (0.17%)
  • Christian Berkel (0.17%)
  • Julian M. Deuster (0.17%)
  • Misha Kuznetsov (0.17%)
  • Pablo Scola (0.17%)
  • Peter Stark (0.17%)
  • Riccardo Calvanese (0.17%)
  • To Rome with Love (0.17%)
Dominant nodes (excluded from chart)
The Man from U.N.C.L.E. 62.56%
Influence Share (vs Direct Neighbours)
4.35% (1 overall)
  • This Post (4.35%)
  • Joyce Jillson (4.35%)
  • Sylvester Groth (4.35%)
  • Elizabeth Debicki (4.35%)
  • The Man from U.N.C.L.E. (4.35%)
  • Alicia Vikander (4.35%)
  • Andrea Cagliesi (4.35%)
  • Armie Hammer (4.35%)
  • Christian Berkel (4.35%)
  • David Menkin (4.35%)
  • Guy Williams (4.35%)
  • Henry Cavill (4.35%)
  • Hugh Grant (4.35%)
  • Jared Harris (4.35%)
  • Julian M. Deuster (4.35%)
  • Marianna Di Martino (4.35%)
  • Misha Kuznetsov (4.35%)
  • Pablo Scola (4.35%)
  • Peter Stark (4.35%)
  • Riccardo Calvanese (4.35%)
  • Alessandro Fabrizi (4.35%)
  • The International (4.35%)
  • To Rome with Love (4.35%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Joyce Jillson ↗
Str: 16Inf: 1
Sylvester Groth ↗
Str: 16Inf: 1
Elizabeth Debicki ↗
Str: 16Inf: 1
The Man from U.N.C.L.E. ↗
Str: 361Inf: 1
Alicia Vikander ↗
Str: 16Inf: 1
Andrea Cagliesi ↗
Str: 1Inf: 1
Armie Hammer ↗
Str: 16Inf: 1
Christian Berkel ↗
Str: 1Inf: 1
David Menkin ↗
Str: 16Inf: 1
Guy Williams ↗
Str: 9Inf: 1
Henry Cavill ↗
Str: 4Inf: 1
Hugh Grant ↗
Str: 36Inf: 1
Jared Harris ↗
Str: 25Inf: 1
Julian M. Deuster ↗
Str: 1Inf: 1
Marianna Di Martino ↗
Str: 16Inf: 1
Misha Kuznetsov ↗
Str: 1Inf: 1
Pablo Scola ↗
Str: 1Inf: 1
Peter Stark ↗
Str: 1Inf: 1
Riccardo Calvanese ↗
Str: 1Inf: 1
Alessandro Fabrizi ↗
Str: 9Inf: 1
The International ↗
Str: 4Inf: 1
To Rome with Love ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
To Rome with Love ↗
Str: 1Inf: 1
The International ↗
Str: 4Inf: 1
Alessandro Fabrizi ↗
Str: 9Inf: 1
Riccardo Calvanese ↗
Str: 1Inf: 1
Peter Stark ↗
Str: 1Inf: 1
Pablo Scola ↗
Str: 1Inf: 1
Misha Kuznetsov ↗
Str: 1Inf: 1
Marianna Di Martino ↗
Str: 16Inf: 1
Julian M. Deuster ↗
Str: 1Inf: 1
Jared Harris ↗
Str: 25Inf: 1
Hugh Grant ↗
Str: 36Inf: 1
Henry Cavill ↗
Str: 4Inf: 1
Guy Williams ↗
Str: 9Inf: 1
David Menkin ↗
Str: 16Inf: 1
Christian Berkel ↗
Str: 1Inf: 1
Armie Hammer ↗
Str: 16Inf: 1
Andrea Cagliesi ↗
Str: 1Inf: 1
Alicia Vikander ↗
Str: 16Inf: 1
The Man from U.N.C.L.E. ↗
Str: 361Inf: 1
Elizabeth Debicki ↗
Str: 16Inf: 1
Sylvester Groth ↗
Str: 16Inf: 1
Joyce Jillson ↗
Str: 16Inf: 1

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

Outbound Tags (3)
The International
The Man from U.N.C.L.E.
To Rome with Love
Inbound Posts (3)
The International
The Man from U.N.C.L.E.
To Rome with Love
Last calculated: Sep 1, 8:59 AM
42

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