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Analyzing Network Connections...

Network Profile

Overall Strength
i
0.27% of network
(229.2T)
Strength Breakdown
  • This Post (0.27%)
  • Henry O (1.68%)
  • Brian Koppelman (1.08%)
  • Runaway Jury (0.61%)
  • Runner Runner (0.07%)
  • Romeo Must Die (0.07%)
Dominant nodes (excluded from chart)
Michael Clayton 28.28%The Evidence 24.31%Shanghai Noon 21.82%Rush Hour 3 21.82%
Influence Score
i
9.95% of network
(1.05)
Influence Breakdown
  • This Post (9.95%)
  • Michael Clayton (10.45%)
  • Brian Koppelman (9.95%)
  • Runaway Jury (9.95%)
  • Runner Runner (9.95%)
  • Shanghai Noon (9.95%)
  • Romeo Must Die (9.95%)
  • Henry O (9.95%)
  • The Evidence (9.95%)
  • Rush Hour 3 (9.95%)
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 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 420 [Michael Clayton] *
                            16 [Brian Koppelman] *
                            9 [Runaway Jury] *
                            1 [Runner Runner] *
                            324 [Shanghai Noon] *
                            1 [Romeo Must Die] *
                            25 [Henry O] *
                            361 [The Evidence] *
                            324 [Rush Hour 3]
                           )

                         = 229.2T

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.05 [Michael Clayton] *
                            1 [Brian Koppelman] *
                            1 [Runaway Jury] *
                            1 [Runner Runner] *
                            1 [Shanghai Noon] *
                            1 [Romeo Must Die] *
                            1 [Henry O] *
                            1 [The Evidence] *
                            1 [Rush Hour 3]
                           )

                         = 1.05
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 9 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.27% (229.2T overall)
  • This Post (0.27%)
  • Henry O (1.68%)
  • Brian Koppelman (1.08%)
  • Runaway Jury (0.61%)
  • Runner Runner (0.07%)
  • Romeo Must Die (0.07%)
Dominant nodes (excluded from chart)
Michael Clayton 28.28%The Evidence 24.31%Shanghai Noon 21.82%Rush Hour 3 21.82%
Influence Share (vs Direct Neighbours)
9.95% (1.05 overall)
  • This Post (9.95%)
  • Michael Clayton (10.45%)
  • Brian Koppelman (9.95%)
  • Runaway Jury (9.95%)
  • Runner Runner (9.95%)
  • Shanghai Noon (9.95%)
  • Romeo Must Die (9.95%)
  • Henry O (9.95%)
  • The Evidence (9.95%)
  • Rush Hour 3 (9.95%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Michael Clayton ↗
Str: 420Inf: 1.05
Brian Koppelman ↗
Str: 16Inf: 1
Runaway Jury ↗
Str: 9Inf: 1
Runner Runner ↗
Str: 1Inf: 1
Shanghai Noon ↗
Str: 324Inf: 1
Romeo Must Die ↗
Str: 1Inf: 1
Henry O ↗
Str: 25Inf: 1
The Evidence ↗
Str: 361Inf: 1
Rush Hour 3 ↗
Str: 324Inf: 1
Weakest Connections (Lowest Multipliers)
Rush Hour 3 ↗
Str: 324Inf: 1
The Evidence ↗
Str: 361Inf: 1
Henry O ↗
Str: 25Inf: 1
Romeo Must Die ↗
Str: 1Inf: 1
Shanghai Noon ↗
Str: 324Inf: 1
Runner Runner ↗
Str: 1Inf: 1
Runaway Jury ↗
Str: 9Inf: 1
Brian Koppelman ↗
Str: 16Inf: 1
Michael Clayton ↗
Str: 420Inf: 1.05

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

Outbound Tags (2)
Brian Koppelman
Henry O
Inbound Posts (2)
Brian Koppelman
Henry O
Last calculated: Jun 22, 10:59 PM
27

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