Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Sankt Polten
Michael Haydn
Austria
Klagenfurt
Graz
Eisenstadt
Linz
Österreich
Bregenz
Innsbruck

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 2 hours ago
Comments: 0

Darragh Lennon
Last login: 3 days ago
Comments: 0

Cathal Kennedy
Last login: 1 week ago
Comments: 0

jacierlogyn
Last login: 4 weeks ago
Comments: 0

Eileen Lally
Last login: 2 months ago
Comments: 0

Özkan Konu
Last login: 2 months ago
Comments: 0

Salzburg

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

Linz
Anniversaries in Austria
Objects in Salzburg
Technology in Salzburg
Klagenfurt
Innsbruck
Sankt Polten
Eisenstadt
Society of Austria
Graz
Quarters of Salzburg
Firefighting in Salzburg
Bregenz
Sports in Salzburg
People in Salzburg
WikiProject Austria

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Tomb of Paracelsus0.5 km away
  • Thumbnail for Hans-Peter Arnesen
    Hans-Peter Arnesen1.4 km away
  • 📍
    Villa Joachim2.3 km away
  • 📍
    Quellenbau15.3 km away
  • Thumbnail for Vitus Bach - 1550
    Vitus Bach - 155017.8 km away

Network Profile

Overall Strength
i
1.98% of network
(7.8K)
Strength Breakdown
  • This Post (1.98%)
  • Michael Haydn (5.94%)
  • Klagenfurt (3.96%)
  • Österreich (1.98%)
  • Bregenz (0.99%)
  • Eisenstadt (0.99%)
  • Graz (0.99%)
  • Innsbruck (0.99%)
  • Linz (0.99%)
  • Sankt Polten (0.99%)
Dominant nodes (excluded from chart)
Austria 80.20%
Influence Score
i
4.17% of network
(1.5)
Influence Breakdown
  • This Post (4.17%)
  • Österreich (16.67%)
  • Michael Haydn (12.50%)
  • Austria (8.33%)
  • Bregenz (8.33%)
  • Eisenstadt (8.33%)
  • Graz (8.33%)
  • Innsbruck (8.33%)
  • Klagenfurt (8.33%)
  • Linz (8.33%)
  • Sankt Polten (8.33%)
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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 2 *
                           ( 2 [Österreich] *
                            6 [Michael Haydn] *
                            81 [Austria] *
                            1 [Bregenz] *
                            1 [Eisenstadt] *
                            1 [Graz] *
                            1 [Innsbruck] *
                            4 [Klagenfurt] *
                            1 [Linz] *
                            1 [Sankt Polten]
                           )

                         = 7.8K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 0.5 *
                           ( 2 [Österreich] *
                            1.5 [Michael Haydn] *
                            1 [Austria] *
                            1 [Bregenz] *
                            1 [Eisenstadt] *
                            1 [Graz] *
                            1 [Innsbruck] *
                            1 [Klagenfurt] *
                            1 [Linz] *
                            1 [Sankt Polten]
                           )

                         = 1.5
Outbound 1 Tags on post
Inbound 2 Posts tagging this
Connections 10 Total nodes
Base Node Strength 2
Base Node Influence 0.5
Strength Share (vs Direct Neighbours)
1.98% (7.8K overall)
  • This Post (1.98%)
  • Michael Haydn (5.94%)
  • Klagenfurt (3.96%)
  • Österreich (1.98%)
  • Bregenz (0.99%)
  • Eisenstadt (0.99%)
  • Graz (0.99%)
  • Innsbruck (0.99%)
  • Linz (0.99%)
  • Sankt Polten (0.99%)
Dominant nodes (excluded from chart)
Austria 80.20%
Influence Share (vs Direct Neighbours)
4.17% (1.5 overall)
  • This Post (4.17%)
  • Österreich (16.67%)
  • Michael Haydn (12.50%)
  • Austria (8.33%)
  • Bregenz (8.33%)
  • Eisenstadt (8.33%)
  • Graz (8.33%)
  • Innsbruck (8.33%)
  • Klagenfurt (8.33%)
  • Linz (8.33%)
  • Sankt Polten (8.33%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Österreich ↗
Str: 2Inf: 2
Michael Haydn ↗
Str: 6Inf: 1.5
Austria ↗
Str: 81Inf: 1
Bregenz ↗
Str: 1Inf: 1
Eisenstadt ↗
Str: 1Inf: 1
Graz ↗
Str: 1Inf: 1
Innsbruck ↗
Str: 1Inf: 1
Klagenfurt ↗
Str: 4Inf: 1
Linz ↗
Str: 1Inf: 1
Sankt Polten ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Sankt Polten ↗
Str: 1Inf: 1
Linz ↗
Str: 1Inf: 1
Klagenfurt ↗
Str: 4Inf: 1
Innsbruck ↗
Str: 1Inf: 1
Graz ↗
Str: 1Inf: 1
Eisenstadt ↗
Str: 1Inf: 1
Bregenz ↗
Str: 1Inf: 1
Austria ↗
Str: 81Inf: 1
Michael Haydn ↗
Str: 6Inf: 1.5
Österreich ↗
Str: 2Inf: 2

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

Outbound Tags (1)
Austria
Inbound Posts (2)
Austria
Michael Haydn
BROKEN LINK
Last calculated: Jul 24, 12:03 PM
Salzburg, Salzburg, Austria59

Related Content

Composers

  • Michael Haydn

Locations

  • Österreich

Nations

  • Austria

Regionals

  • Innsbruck
  • Klagenfurt
  • Linz
  • Sankt Polten
  • Bregenz
  • Eisenstadt
  • Graz