Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Kelly KeelingCamus CelliBaton RougeHarold KnappenbergerKeith HarrisonBryan ScottGuy DanielTony Palmucci

Recent Logins

View Members Directory

Jessica
Last login: 2 hours ago
Comments: 0

Tadhg Kelleher
Last login: 9 hours 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

Pat Schick

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

Connected Bands/Artists

  • Baton Rouge

Connected Musicians

  • Bryan Scott
  • Camus Celli
  • Guy Daniel
  • Harold Knappenberger
  • Keith Harrison
  • Kelly Keeling
  • Tony Palmucci

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.63% of network
(82.9K)
Strength Breakdown
  • This Post (0.63%)
  • Bryan Scott (2.53%)
  • Camus Celli (2.53%)
  • Guy Daniel (0.63%)
  • Harold Knappenberger (0.63%)
  • Keith Harrison (0.63%)
  • Tony Palmucci (0.63%)
Dominant nodes (excluded from chart)
Kelly Keeling 51.27%Baton Rouge 40.51%
Influence Score
i
11.11% of network
(1)
Influence Breakdown
  • This Post (11.11%)
  • Baton Rouge (11.11%)
  • Bryan Scott (11.11%)
  • Camus Celli (11.11%)
  • Guy Daniel (11.11%)
  • Harold Knappenberger (11.11%)
  • Keith Harrison (11.11%)
  • Kelly Keeling (11.11%)
  • Tony Palmucci (11.11%)
Direct Connections 2

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, 1) = 1

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

// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 64 [Baton Rouge] *
                            4 [Bryan Scott] *
                            4 [Camus Celli] *
                            1 [Guy Daniel] *
                            1 [Harold Knappenberger] *
                            1 [Keith Harrison] *
                            81 [Kelly Keeling] *
                            1 [Tony Palmucci]
                           )

                         = 82.9K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Baton Rouge] *
                            1 [Bryan Scott] *
                            1 [Camus Celli] *
                            1 [Guy Daniel] *
                            1 [Harold Knappenberger] *
                            1 [Keith Harrison] *
                            1 [Kelly Keeling] *
                            1 [Tony Palmucci]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 8 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.63% (82.9K overall)
  • This Post (0.63%)
  • Bryan Scott (2.53%)
  • Camus Celli (2.53%)
  • Guy Daniel (0.63%)
  • Harold Knappenberger (0.63%)
  • Keith Harrison (0.63%)
  • Tony Palmucci (0.63%)
Dominant nodes (excluded from chart)
Kelly Keeling 51.27%Baton Rouge 40.51%
Influence Share (vs Direct Neighbours)
11.11% (1 overall)
  • This Post (11.11%)
  • Baton Rouge (11.11%)
  • Bryan Scott (11.11%)
  • Camus Celli (11.11%)
  • Guy Daniel (11.11%)
  • Harold Knappenberger (11.11%)
  • Keith Harrison (11.11%)
  • Kelly Keeling (11.11%)
  • Tony Palmucci (11.11%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Baton Rouge ↗
Str: 64Inf: 1
Bryan Scott ↗
Str: 4Inf: 1
Camus Celli ↗
Str: 4Inf: 1
Guy Daniel ↗
Str: 1Inf: 1
Harold Knappenberger ↗
Str: 1Inf: 1
Keith Harrison ↗
Str: 1Inf: 1
Kelly Keeling ↗
Str: 81Inf: 1
Tony Palmucci ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Tony Palmucci ↗
Str: 1Inf: 1
Kelly Keeling ↗
Str: 81Inf: 1
Keith Harrison ↗
Str: 1Inf: 1
Harold Knappenberger ↗
Str: 1Inf: 1
Guy Daniel ↗
Str: 1Inf: 1
Camus Celli ↗
Str: 4Inf: 1
Bryan Scott ↗
Str: 4Inf: 1
Baton Rouge ↗
Str: 64Inf: 1

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

Outbound Tags (1)
Baton Rouge
Inbound Posts (1)
Baton Rouge
Last calculated: Jul 29, 11:24 PM
30

Related Content

No related content found.