Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Andrew BernsteinHorse LordsLeo SvirskyEilbacher/Moskos/MooreOwen GardnerSam HabermanSam Haberman MoskosBen Moore

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 2 days ago
Comments: 0

Eileen Lally
Last login: 2 weeks ago
Comments: 0

Özkan Konu
Last login: 4 weeks 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

Max Eilbacher

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

Connected Bands/Artists

  • Eilbacher/Moskos/Moore
  • Horse Lords

Connected Musicians

  • Andrew Bernstein
  • Ben Moore
  • Leo Svirsky
  • Owen Gardner
  • Sam Haberman
  • Sam Haberman Moskos

Analyzing Network Connections...

Network Profile

Overall Strength
i
5.97% of network
(129.6K)
Strength Breakdown
  • This Post (5.97%)
  • Horse Lords (37.31%)
  • Andrew Bernstein (23.88%)
  • Eilbacher/Moskos/Moore (13.43%)
  • Leo Svirsky (13.43%)
  • Ben Moore (1.49%)
  • Sam Haberman Moskos (1.49%)
  • Owen Gardner (1.49%)
  • Sam Haberman (1.49%)
Influence Score
i
11.11% of network
(1)
Influence Breakdown
  • This Post (11.11%)
  • Eilbacher/Moskos/Moore (11.11%)
  • Ben Moore (11.11%)
  • Sam Haberman Moskos (11.11%)
  • Andrew Bernstein (11.11%)
  • Horse Lords (11.11%)
  • Leo Svirsky (11.11%)
  • Owen Gardner (11.11%)
  • Sam Haberman (11.11%)
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 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 9 [Eilbacher/Moskos/Moore] *
                            1 [Ben Moore] *
                            1 [Sam Haberman Moskos] *
                            16 [Andrew Bernstein] *
                            25 [Horse Lords] *
                            9 [Leo Svirsky] *
                            1 [Owen Gardner] *
                            1 [Sam Haberman]
                           )

                         = 129.6K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Eilbacher/Moskos/Moore] *
                            1 [Ben Moore] *
                            1 [Sam Haberman Moskos] *
                            1 [Andrew Bernstein] *
                            1 [Horse Lords] *
                            1 [Leo Svirsky] *
                            1 [Owen Gardner] *
                            1 [Sam Haberman]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 8 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
5.97% (129.6K overall)
  • This Post (5.97%)
  • Horse Lords (37.31%)
  • Andrew Bernstein (23.88%)
  • Eilbacher/Moskos/Moore (13.43%)
  • Leo Svirsky (13.43%)
  • Ben Moore (1.49%)
  • Sam Haberman Moskos (1.49%)
  • Owen Gardner (1.49%)
  • Sam Haberman (1.49%)
Influence Share (vs Direct Neighbours)
11.11% (1 overall)
  • This Post (11.11%)
  • Eilbacher/Moskos/Moore (11.11%)
  • Ben Moore (11.11%)
  • Sam Haberman Moskos (11.11%)
  • Andrew Bernstein (11.11%)
  • Horse Lords (11.11%)
  • Leo Svirsky (11.11%)
  • Owen Gardner (11.11%)
  • Sam Haberman (11.11%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Eilbacher/Moskos/Moore ↗
Str: 9Inf: 1
Ben Moore ↗
Str: 1Inf: 1
Sam Haberman Moskos ↗
Str: 1Inf: 1
Andrew Bernstein ↗
Str: 16Inf: 1
Horse Lords ↗
Str: 25Inf: 1
Leo Svirsky ↗
Str: 9Inf: 1
Owen Gardner ↗
Str: 1Inf: 1
Sam Haberman ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Sam Haberman ↗
Str: 1Inf: 1
Owen Gardner ↗
Str: 1Inf: 1
Leo Svirsky ↗
Str: 9Inf: 1
Horse Lords ↗
Str: 25Inf: 1
Andrew Bernstein ↗
Str: 16Inf: 1
Sam Haberman Moskos ↗
Str: 1Inf: 1
Ben Moore ↗
Str: 1Inf: 1
Eilbacher/Moskos/Moore ↗
Str: 9Inf: 1

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

Outbound Tags (2)
Eilbacher/Moskos/Moore
Horse Lords
Inbound Posts (2)
Eilbacher/Moskos/Moore
Horse Lords
Last calculated: Jun 17, 8:57 AM
41

Related Content

No related content found.