Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

clare hazell
Jonathan Guinness 3rd Baron Moyne
rachel chandler
jeffrey epstein
P Diddy
WALTER PEARCE
Diana Mitford
midland agencyConservative Monday Club

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 36 minutes ago
Comments: 0

Eileen Lally
Last login: 2 weeks ago
Comments: 0

Özkan Konu
Last login: 1 month ago
Comments: 0

Anne Marie Bevan
Last login: 1 month ago
Comments: 0

Kevin Greene
Last login: 1 month ago
Comments: 0

Seán Millar
Last login: 1 month ago
Comments: 0

Tom Guinness

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

Related Images

Balenciaga

Connected Musicians

  • P Diddy

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.53% of network
(31.54M)
Strength Breakdown
  • This Post (1.53%)
  • rachel chandler (13.74%)
  • clare hazell (13.74%)
  • Jonathan Guinness 3rd Baron Moyne (3.44%)
  • Diana Mitford (1.53%)
  • Conservative Monday Club (0.38%)
  • midland agency (0.38%)
  • WALTER PEARCE (0.38%)
  • P Diddy (0.38%)
Dominant nodes (excluded from chart)
jeffrey epstein 64.50%
Influence Score
i
10.00% of network
(1)
Influence Breakdown
  • This Post (10.00%)
  • Diana Mitford (10.00%)
  • Jonathan Guinness 3rd Baron Moyne (10.00%)
  • Conservative Monday Club (10.00%)
  • rachel chandler (10.00%)
  • clare hazell (10.00%)
  • jeffrey epstein (10.00%)
  • midland agency (10.00%)
  • WALTER PEARCE (10.00%)
  • P Diddy (10.00%)
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 *
                           ( 4 [Diana Mitford] *
                            9 [Jonathan Guinness 3rd Baron Moyne] *
                            1 [Conservative Monday Club] *
                            36 [rachel chandler] *
                            36 [clare hazell] *
                            169 [jeffrey epstein] *
                            1 [midland agency] *
                            1 [WALTER PEARCE] *
                            1 [P Diddy]
                           )

                         = 31.54M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Diana Mitford] *
                            1 [Jonathan Guinness 3rd Baron Moyne] *
                            1 [Conservative Monday Club] *
                            1 [rachel chandler] *
                            1 [clare hazell] *
                            1 [jeffrey epstein] *
                            1 [midland agency] *
                            1 [WALTER PEARCE] *
                            1 [P Diddy]
                           )

                         = 1
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)
1.53% (31.54M overall)
  • This Post (1.53%)
  • rachel chandler (13.74%)
  • clare hazell (13.74%)
  • Jonathan Guinness 3rd Baron Moyne (3.44%)
  • Diana Mitford (1.53%)
  • Conservative Monday Club (0.38%)
  • midland agency (0.38%)
  • WALTER PEARCE (0.38%)
  • P Diddy (0.38%)
Dominant nodes (excluded from chart)
jeffrey epstein 64.50%
Influence Share (vs Direct Neighbours)
10.00% (1 overall)
  • This Post (10.00%)
  • Diana Mitford (10.00%)
  • Jonathan Guinness 3rd Baron Moyne (10.00%)
  • Conservative Monday Club (10.00%)
  • rachel chandler (10.00%)
  • clare hazell (10.00%)
  • jeffrey epstein (10.00%)
  • midland agency (10.00%)
  • WALTER PEARCE (10.00%)
  • P Diddy (10.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Diana Mitford ↗
Str: 4Inf: 1
Jonathan Guinness 3rd Baron Moyne ↗
Str: 9Inf: 1
Conservative Monday Club ↗
Str: 1Inf: 1
rachel chandler ↗
Str: 36Inf: 1
clare hazell ↗
Str: 36Inf: 1
jeffrey epstein ↗
Str: 169Inf: 1
midland agency ↗
Str: 1Inf: 1
WALTER PEARCE ↗
Str: 1Inf: 1
P Diddy ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
P Diddy ↗
Str: 1Inf: 1
WALTER PEARCE ↗
Str: 1Inf: 1
midland agency ↗
Str: 1Inf: 1
jeffrey epstein ↗
Str: 169Inf: 1
clare hazell ↗
Str: 36Inf: 1
rachel chandler ↗
Str: 36Inf: 1
Conservative Monday Club ↗
Str: 1Inf: 1
Jonathan Guinness 3rd Baron Moyne ↗
Str: 9Inf: 1
Diana Mitford ↗
Str: 4Inf: 1

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

Outbound Tags (2)
Jonathan Guinness 3rd Baron Moyne
rachel chandler
Inbound Posts (2)
Jonathan Guinness 3rd Baron Moyne
rachel chandler
Last calculated: Jun 20, 5:01 PM
76

Related Content

Figures

  • rachel chandler
  • clare hazell
  • jeffrey epstein
  • WALTER PEARCE
  • Diana Mitford
  • Jonathan Guinness 3rd Baron Moyne

Organisations

  • Conservative Monday Club
  • midland agency