Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Norway
Skien
Kristiansand
Molde
Vadsø
Hamar
Bergen
Sarpsborg
Tromsø
Lillehammer

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 3 days ago
Comments: 0

Matthew Leech
Last login: 3 weeks ago
Comments: 1

Jessica
Last login: 1 month ago
Comments: 0

Darragh Lennon
Last login: 1 month ago
Comments: 0

Cathal Kennedy
Last login: 2 months ago
Comments: 0

jacierlogyn
Last login: 2 months ago
Comments: 0

Stavanger

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

Skien
Lillehammer
Kristiansand
Sarpsborg
Hamar
Bodø
Tromsø
Tønsberg
Molde
Drammen
Bergen
Vadsø

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    KARMS40.1 km away
  • 📍
    Steinsfjellet55.3 km away
  • 📍
    Haugesund56.2 km away
  • 📍
    Holmedals kyrka91.0 km away
  • 📍
    Telenorsenteret149.0 km away

Network Profile

Overall Strength
i
0.39% of network
(127.3K)
Strength Breakdown
  • This Post (0.39%)
  • Kristiansand (2.36%)
  • Molde (1.57%)
  • Vadsø (0.79%)
  • Bergen (0.39%)
  • Bodø (0.39%)
  • Drammen (0.39%)
  • Hamar (0.39%)
  • Lillehammer (0.39%)
  • Sarpsborg (0.39%)
  • Tønsberg (0.39%)
  • Tromsø (0.39%)
Dominant nodes (excluded from chart)
Norway 87.01%Skien 4.72%
Influence Score
i
6.20% of network
(5.23)
Influence Breakdown
  • This Post (6.20%)
  • Vadsø (12.39%)
  • Kristiansand (9.29%)
  • Skien (8.26%)
  • Norway (8.10%)
  • Bergen (6.20%)
  • Bodø (6.20%)
  • Drammen (6.20%)
  • Hamar (6.20%)
  • Lillehammer (6.20%)
  • Molde (6.20%)
  • Sarpsborg (6.20%)
  • Tønsberg (6.20%)
  • Tromsø (6.20%)
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 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 2 [Vadsø] *
                            6 [Kristiansand] *
                            12 [Skien] *
                            221 [Norway] *
                            1 [Bergen] *
                            1 [Bodø] *
                            1 [Drammen] *
                            1 [Hamar] *
                            1 [Lillehammer] *
                            4 [Molde] *
                            1 [Sarpsborg] *
                            1 [Tønsberg] *
                            1 [Tromsø]
                           )

                         = 127.3K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2 [Vadsø] *
                            1.5 [Kristiansand] *
                            1.33 [Skien] *
                            1.31 [Norway] *
                            1 [Bergen] *
                            1 [Bodø] *
                            1 [Drammen] *
                            1 [Hamar] *
                            1 [Lillehammer] *
                            1 [Molde] *
                            1 [Sarpsborg] *
                            1 [Tønsberg] *
                            1 [Tromsø]
                           )

                         = 5.23
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 13 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.39% (127.3K overall)
  • This Post (0.39%)
  • Kristiansand (2.36%)
  • Molde (1.57%)
  • Vadsø (0.79%)
  • Bergen (0.39%)
  • Bodø (0.39%)
  • Drammen (0.39%)
  • Hamar (0.39%)
  • Lillehammer (0.39%)
  • Sarpsborg (0.39%)
  • Tønsberg (0.39%)
  • Tromsø (0.39%)
Dominant nodes (excluded from chart)
Norway 87.01%Skien 4.72%
Influence Share (vs Direct Neighbours)
6.20% (5.23 overall)
  • This Post (6.20%)
  • Vadsø (12.39%)
  • Kristiansand (9.29%)
  • Skien (8.26%)
  • Norway (8.10%)
  • Bergen (6.20%)
  • Bodø (6.20%)
  • Drammen (6.20%)
  • Hamar (6.20%)
  • Lillehammer (6.20%)
  • Molde (6.20%)
  • Sarpsborg (6.20%)
  • Tønsberg (6.20%)
  • Tromsø (6.20%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Vadsø ↗
Str: 2Inf: 2
Kristiansand ↗
Str: 6Inf: 1.5
Skien ↗
Str: 12Inf: 1.33
Norway ↗
Str: 221Inf: 1.31
Bergen ↗
Str: 1Inf: 1
Bodø ↗
Str: 1Inf: 1
Drammen ↗
Str: 1Inf: 1
Hamar ↗
Str: 1Inf: 1
Lillehammer ↗
Str: 1Inf: 1
Molde ↗
Str: 4Inf: 1
Sarpsborg ↗
Str: 1Inf: 1
Tønsberg ↗
Str: 1Inf: 1
Tromsø ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Tromsø ↗
Str: 1Inf: 1
Tønsberg ↗
Str: 1Inf: 1
Sarpsborg ↗
Str: 1Inf: 1
Molde ↗
Str: 4Inf: 1
Lillehammer ↗
Str: 1Inf: 1
Hamar ↗
Str: 1Inf: 1
Drammen ↗
Str: 1Inf: 1
Bodø ↗
Str: 1Inf: 1
Bergen ↗
Str: 1Inf: 1
Norway ↗
Str: 221Inf: 1.31
Skien ↗
Str: 12Inf: 1.33
Kristiansand ↗
Str: 6Inf: 1.5
Vadsø ↗
Str: 2Inf: 2

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

Outbound Tags (1)
norway
Inbound Posts (1)
Norway
Last calculated: Aug 31, 12:47 AM
Rogaland, Norway29

Related Content

Nations

  • Norway

Regionals

  • Bodø
  • Tønsberg
  • Drammen
  • Tromsø
  • Hamar
  • Vadsø
  • Kristiansand
  • Lillehammer
  • Molde
  • Sarpsborg
  • Bergen
  • Skien