Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Eriq EbouaneyFrançois BerléandTransporter 3Black MaskKaren MokTiffany ChenMid90sVenus and Serena

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 32 minutes ago
Comments: 0

Darragh Lennon
Last login: 1 week ago
Comments: 0

Cathal Kennedy
Last login: 2 weeks ago
Comments: 0

jacierlogyn
Last login: 1 month ago
Comments: 0

Eileen Lally
Last login: 2 months ago
Comments: 0

Özkan Konu
Last login: 2 months ago
Comments: 0

Big L

Loading Graph...
Press Spacebar to toggle layout
Join the conversation

💬 Know something?

Sign in to leave a note, add a photo, or make a connection.

Continue with Google Continue with Facebook

Keep Muso free

Muso is built by one person, for the love of it. no investors — just your support.

€10
Covers an hour of research
Most popular
€25
Keeps the archive running
€50
Funds a full week of work
✎ Enter my own amount
€5
per month · cancel any time

You'll confirm the amount on the next screen

Donate €25 →
Secure checkout via Stripe  ·  No account needed

Analyzing Network Connections...

Network Profile

Overall Strength
i
16.33% of network
(55.99M)
Strength Breakdown
  • This Post (16.33%)
  • Eriq Ebouaney (25.51%)
  • François Berléand (16.33%)
  • Karen Mok (12.24%)
  • Tiffany Chen (9.18%)
  • Black Mask (9.18%)
  • Transporter 3 (9.18%)
  • Mid90s (1.02%)
  • Venus and Serena (1.02%)
Influence Score
i
11.43% of network
(0.75)
Influence Breakdown
  • This Post (11.43%)
  • Tiffany Chen (11.43%)
  • Black Mask (11.43%)
  • Transporter 3 (11.43%)
  • Mid90s (11.43%)
  • Venus and Serena (11.43%)
  • Eriq Ebouaney (11.43%)
  • François Berléand (11.43%)
  • Karen Mok (8.57%)
Direct Connections 8

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, 4) = 4
$outbound = max(1, 4) = 4

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1

// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 16 *
                           ( 9 [Tiffany Chen] *
                            9 [Black Mask] *
                            9 [Transporter 3] *
                            1 [Mid90s] *
                            1 [Venus and Serena] *
                            25 [Eriq Ebouaney] *
                            16 [François Berléand] *
                            12 [Karen Mok]
                           )

                         = 55.99M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Tiffany Chen] *
                            1 [Black Mask] *
                            1 [Transporter 3] *
                            1 [Mid90s] *
                            1 [Venus and Serena] *
                            1 [Eriq Ebouaney] *
                            1 [François Berléand] *
                            0.75 [Karen Mok]
                           )

                         = 0.75
Outbound 4 Tags on post
Inbound 4 Posts tagging this
Connections 8 Total nodes
Base Node Strength 16
Base Node Influence 1
Strength Share (vs Direct Neighbours)
16.33% (55.99M overall)
  • This Post (16.33%)
  • Eriq Ebouaney (25.51%)
  • François Berléand (16.33%)
  • Karen Mok (12.24%)
  • Tiffany Chen (9.18%)
  • Black Mask (9.18%)
  • Transporter 3 (9.18%)
  • Mid90s (1.02%)
  • Venus and Serena (1.02%)
Influence Share (vs Direct Neighbours)
11.43% (0.75 overall)
  • This Post (11.43%)
  • Tiffany Chen (11.43%)
  • Black Mask (11.43%)
  • Transporter 3 (11.43%)
  • Mid90s (11.43%)
  • Venus and Serena (11.43%)
  • Eriq Ebouaney (11.43%)
  • François Berléand (11.43%)
  • Karen Mok (8.57%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Tiffany Chen ↗
Str: 9Inf: 1
Black Mask ↗
Str: 9Inf: 1
Transporter 3 ↗
Str: 9Inf: 1
Mid90s ↗
Str: 1Inf: 1
Venus and Serena ↗
Str: 1Inf: 1
Eriq Ebouaney ↗
Str: 25Inf: 1
François Berléand ↗
Str: 16Inf: 1
Karen Mok ↗
Str: 12Inf: 0.75
Weakest Connections (Lowest Multipliers)
Karen Mok ↗
Str: 12Inf: 0.75
François Berléand ↗
Str: 16Inf: 1
Eriq Ebouaney ↗
Str: 25Inf: 1
Venus and Serena ↗
Str: 1Inf: 1
Mid90s ↗
Str: 1Inf: 1
Transporter 3 ↗
Str: 9Inf: 1
Black Mask ↗
Str: 9Inf: 1
Tiffany Chen ↗
Str: 9Inf: 1

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

Outbound Tags (4)
Black Mask
Mid90s
Transporter 3
Venus and Serena
Inbound Posts (4)
Black Mask
Transporter 3
Mid90s
Venus and Serena
Last calculated: Jul 29, 9:13 AM
27

Related Content

Actors

  • Eriq Ebouaney
  • François Berléand

Figures

  • Karen Mok
  • Tiffany Chen

Films

  • Transporter 3

Topics

  • Black Mask
  • Mid90s
  • Venus and Serena