Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Cashmere CatJames SaitoHot Pursuit

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 6 hours ago
Comments: 0

Eileen Lally
Last login: 1 week ago
Comments: 0

Özkan Konu
Last login: 4 weeks ago
Comments: 0

Anne Marie Bevan
Last login: 4 weeks ago
Comments: 0

Kevin Greene
Last login: 1 month ago
Comments: 0

Seán Millar
Last login: 1 month ago
Comments: 0

Always Be My Maybe

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
9.09% of network
(288)
Strength Breakdown
  • This Post (9.09%)
  • James Saito (54.55%)
  • Cashmere Cat (27.27%)
  • Hot Pursuit (9.09%)
Influence Score
i
13.04% of network
(0.5)
Influence Breakdown
  • This Post (13.04%)
  • Cashmere Cat (39.13%)
  • James Saito (34.78%)
  • Hot Pursuit (13.04%)
Direct Connections 3

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, 1) = 1
$outbound = max(1, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 2 = 2
Base_Influence (IV) = $inbound / $outbound = 1 / 2 = 0.5

// 3. Exponential Network Values (accumulating 3 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 2 *
                           ( 6 [Cashmere Cat] *
                            12 [James Saito] *
                            2 [Hot Pursuit]
                           )

                         = 288

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 0.5 *
                           ( 1.5 [Cashmere Cat] *
                            1.33 [James Saito] *
                            0.5 [Hot Pursuit]
                           )

                         = 0.5
Outbound 1 Tags on post
Inbound 2 Posts tagging this
Connections 3 Total nodes
Base Node Strength 2
Base Node Influence 0.5
Strength Share (vs Direct Neighbours)
9.09% (288 overall)
  • This Post (9.09%)
  • James Saito (54.55%)
  • Cashmere Cat (27.27%)
  • Hot Pursuit (9.09%)
Influence Share (vs Direct Neighbours)
13.04% (0.5 overall)
  • This Post (13.04%)
  • Cashmere Cat (39.13%)
  • James Saito (34.78%)
  • Hot Pursuit (13.04%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Cashmere Cat ↗
Str: 6Inf: 1.5
James Saito ↗
Str: 12Inf: 1.33
Hot Pursuit ↗
Str: 2Inf: 0.5
Weakest Connections (Lowest Multipliers)
Hot Pursuit ↗
Str: 2Inf: 0.5
James Saito ↗
Str: 12Inf: 1.33
Cashmere Cat ↗
Str: 6Inf: 1.5

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

Outbound Tags (1)
Cashmere Cat
Inbound Posts (2)
Cashmere Cat
James Saito
BROKEN LINK
Last calculated: Jun 13, 11:46 PM
21

Related Content

Actors

  • James Saito

Figures

  • Cashmere Cat

Topics

  • Hot Pursuit