Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Balaton Sound
Hungary
Szeged
Miskolc
Székesfehérvár
Debrecen
Pécs

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 4 days 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

Győr

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

Wikimedia movement in Hungary
Society of Hungary
Objects in Hungary
Debrecen
Former County Hall, Győr
Szeged
17th Century
Pécs
Székesfehérvár
Miskolc

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Klatsmányi Bridge6.9 km away
  • 📍
    Bana21.8 km away
  • 📍
    Friedhof Kleylehof und Alt-Saida46.6 km away
  • 📍
    Clubhouse46.6 km away
  • 📍
    Bahnhof Nickelsdorf50.0 km away

Network Profile

Overall Strength
i
3.28% of network
(784)
Strength Breakdown
  • This Post (3.28%)
  • Balaton Sound (6.56%)
  • Pécs (3.28%)
  • Debrecen (1.64%)
  • Miskolc (1.64%)
  • Szeged (1.64%)
  • Székesfehérvár (1.64%)
Dominant nodes (excluded from chart)
Hungary 80.33%
Influence Score
i
20.00% of network
(4)
Influence Breakdown
  • This Post (20.00%)
  • Pécs (20.00%)
  • Hungary (10.00%)
  • Debrecen (10.00%)
  • Miskolc (10.00%)
  • Szeged (10.00%)
  • Székesfehérvár (10.00%)
  • Balaton Sound (10.00%)
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, 2) = 2
$outbound = max(1, 1) = 1

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

// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 2 *
                           ( 2 [Pécs] *
                            49 [Hungary] *
                            1 [Debrecen] *
                            1 [Miskolc] *
                            1 [Szeged] *
                            1 [Székesfehérvár] *
                            4 [Balaton Sound]
                           )

                         = 784

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 2 *
                           ( 2 [Pécs] *
                            1 [Hungary] *
                            1 [Debrecen] *
                            1 [Miskolc] *
                            1 [Szeged] *
                            1 [Székesfehérvár] *
                            1 [Balaton Sound]
                           )

                         = 4
Outbound 2 Tags on post
Inbound 1 Posts tagging this
Connections 7 Total nodes
Base Node Strength 2
Base Node Influence 2
Strength Share (vs Direct Neighbours)
3.28% (784 overall)
  • This Post (3.28%)
  • Balaton Sound (6.56%)
  • Pécs (3.28%)
  • Debrecen (1.64%)
  • Miskolc (1.64%)
  • Szeged (1.64%)
  • Székesfehérvár (1.64%)
Dominant nodes (excluded from chart)
Hungary 80.33%
Influence Share (vs Direct Neighbours)
20.00% (4 overall)
  • This Post (20.00%)
  • Pécs (20.00%)
  • Hungary (10.00%)
  • Debrecen (10.00%)
  • Miskolc (10.00%)
  • Szeged (10.00%)
  • Székesfehérvár (10.00%)
  • Balaton Sound (10.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Pécs ↗
Str: 2Inf: 2
Hungary ↗
Str: 49Inf: 1
Debrecen ↗
Str: 1Inf: 1
Miskolc ↗
Str: 1Inf: 1
Szeged ↗
Str: 1Inf: 1
Székesfehérvár ↗
Str: 1Inf: 1
Balaton Sound ↗
Str: 4Inf: 1
Weakest Connections (Lowest Multipliers)
Balaton Sound ↗
Str: 4Inf: 1
Székesfehérvár ↗
Str: 1Inf: 1
Szeged ↗
Str: 1Inf: 1
Miskolc ↗
Str: 1Inf: 1
Debrecen ↗
Str: 1Inf: 1
Hungary ↗
Str: 49Inf: 1
Pécs ↗
Str: 2Inf: 2

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

Outbound Tags (2)
Former County Hall, Győr
BROKEN LINK
Hungary
Inbound Posts (1)
Hungary
Last calculated: Jun 20, 2:28 AM
Gyor, Győr-Moson-Sopron, Hungary46

Related Content

Festivalss

  • Balaton Sound

Nations

  • Hungary

Regionals

  • Debrecen
  • Miskolc
  • Pécs
  • Szeged
  • Székesfehérvár