Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Anett KölpinFrank SchirmerIngo PolitzDatzuRainer OleakInes PaulkeStefan SchirrmacherUli WerfelPeter Lorenz (8)Peter Rasym

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 5 hours 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

Anke Schenker

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

  • Datzu

Connected Musicians

  • Anett Kölpin
  • Frank Schirmer
  • Ines Paulke
  • Ingo Politz
  • Peter Lorenz (8)
  • Peter Rasym
  • Rainer Oleak
  • Stefan Schirrmacher
  • Uli Werfel

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.57% of network
(14M)
Strength Breakdown
  • This Post (0.57%)
  • Ingo Politz (20.57%)
  • Peter Rasym (6.86%)
  • Ines Paulke (5.14%)
  • Rainer Oleak (5.14%)
  • Stefan Schirrmacher (2.29%)
  • Frank Schirmer (0.57%)
  • Uli Werfel (0.57%)
  • Peter Lorenz (8) (0.57%)
  • Anett Kölpin (0.57%)
Dominant nodes (excluded from chart)
Datzu 57.14%
Influence Score
i
8.82% of network
(1.33)
Influence Breakdown
  • This Post (8.82%)
  • Peter Rasym (11.76%)
  • Datzu (8.82%)
  • Frank Schirmer (8.82%)
  • Ines Paulke (8.82%)
  • Ingo Politz (8.82%)
  • Rainer Oleak (8.82%)
  • Stefan Schirrmacher (8.82%)
  • Uli Werfel (8.82%)
  • Peter Lorenz (8) (8.82%)
  • Anett Kölpin (8.82%)
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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 12 [Peter Rasym] *
                            100 [Datzu] *
                            1 [Frank Schirmer] *
                            9 [Ines Paulke] *
                            36 [Ingo Politz] *
                            9 [Rainer Oleak] *
                            4 [Stefan Schirrmacher] *
                            1 [Uli Werfel] *
                            1 [Peter Lorenz (8)] *
                            1 [Anett Kölpin]
                           )

                         = 14M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.33 [Peter Rasym] *
                            1 [Datzu] *
                            1 [Frank Schirmer] *
                            1 [Ines Paulke] *
                            1 [Ingo Politz] *
                            1 [Rainer Oleak] *
                            1 [Stefan Schirrmacher] *
                            1 [Uli Werfel] *
                            1 [Peter Lorenz (8)] *
                            1 [Anett Kölpin]
                           )

                         = 1.33
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 10 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.57% (14M overall)
  • This Post (0.57%)
  • Ingo Politz (20.57%)
  • Peter Rasym (6.86%)
  • Ines Paulke (5.14%)
  • Rainer Oleak (5.14%)
  • Stefan Schirrmacher (2.29%)
  • Frank Schirmer (0.57%)
  • Uli Werfel (0.57%)
  • Peter Lorenz (8) (0.57%)
  • Anett Kölpin (0.57%)
Dominant nodes (excluded from chart)
Datzu 57.14%
Influence Share (vs Direct Neighbours)
8.82% (1.33 overall)
  • This Post (8.82%)
  • Peter Rasym (11.76%)
  • Datzu (8.82%)
  • Frank Schirmer (8.82%)
  • Ines Paulke (8.82%)
  • Ingo Politz (8.82%)
  • Rainer Oleak (8.82%)
  • Stefan Schirrmacher (8.82%)
  • Uli Werfel (8.82%)
  • Peter Lorenz (8) (8.82%)
  • Anett Kölpin (8.82%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Peter Rasym ↗
Str: 12Inf: 1.33
Datzu ↗
Str: 100Inf: 1
Frank Schirmer ↗
Str: 1Inf: 1
Ines Paulke ↗
Str: 9Inf: 1
Ingo Politz ↗
Str: 36Inf: 1
Rainer Oleak ↗
Str: 9Inf: 1
Stefan Schirrmacher ↗
Str: 4Inf: 1
Uli Werfel ↗
Str: 1Inf: 1
Peter Lorenz (8) ↗
Str: 1Inf: 1
Anett Kölpin ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Anett Kölpin ↗
Str: 1Inf: 1
Peter Lorenz (8) ↗
Str: 1Inf: 1
Uli Werfel ↗
Str: 1Inf: 1
Stefan Schirrmacher ↗
Str: 4Inf: 1
Rainer Oleak ↗
Str: 9Inf: 1
Ingo Politz ↗
Str: 36Inf: 1
Ines Paulke ↗
Str: 9Inf: 1
Frank Schirmer ↗
Str: 1Inf: 1
Datzu ↗
Str: 100Inf: 1
Peter Rasym ↗
Str: 12Inf: 1.33

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

Outbound Tags (1)
Datzu
Inbound Posts (1)
Datzu
Last calculated: Jun 23, 11:25 AM
28

Related Content

No related content found.