Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

SakhalinSakhalin State UniversityAniva LighthouseSakhalin KoreansSakhalin WikiExpedition 2017Mount ZhdankoShips named after SakhalinGenetic studies on Nivkh

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 3 days ago
Comments: 0

Eileen Lally
Last login: 3 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: 2 months ago
Comments: 0

Nivkh people

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

Sakhalin Husky

Analyzing Network Connections...

Network Profile

Overall Strength
i
5.33% of network
(2K)
Strength Breakdown
  • This Post (5.33%)
  • Sakhalin Koreans (12.00%)
  • Aniva Lighthouse (1.33%)
  • Mount Zhdanko (1.33%)
  • Sakhalin State University (1.33%)
  • Sakhalin WikiExpedition 2017 (1.33%)
  • Ships named after Sakhalin (1.33%)
  • Genetic studies on Nivkh (1.33%)
Dominant nodes (excluded from chart)
Sakhalin 74.67%
Influence Score
i
10.94% of network
(1.14)
Influence Breakdown
  • This Post (10.94%)
  • Sakhalin (12.50%)
  • Aniva Lighthouse (10.94%)
  • Mount Zhdanko (10.94%)
  • Sakhalin Koreans (10.94%)
  • Sakhalin State University (10.94%)
  • Sakhalin WikiExpedition 2017 (10.94%)
  • Ships named after Sakhalin (10.94%)
  • Genetic studies on Nivkh (10.94%)
Direct Connections 4

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, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1

// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 56 [Sakhalin] *
                            1 [Aniva Lighthouse] *
                            1 [Mount Zhdanko] *
                            9 [Sakhalin Koreans] *
                            1 [Sakhalin State University] *
                            1 [Sakhalin WikiExpedition 2017] *
                            1 [Ships named after Sakhalin] *
                            1 [Genetic studies on Nivkh]
                           )

                         = 2K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.14 [Sakhalin] *
                            1 [Aniva Lighthouse] *
                            1 [Mount Zhdanko] *
                            1 [Sakhalin Koreans] *
                            1 [Sakhalin State University] *
                            1 [Sakhalin WikiExpedition 2017] *
                            1 [Ships named after Sakhalin] *
                            1 [Genetic studies on Nivkh]
                           )

                         = 1.14
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 8 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
5.33% (2K overall)
  • This Post (5.33%)
  • Sakhalin Koreans (12.00%)
  • Aniva Lighthouse (1.33%)
  • Mount Zhdanko (1.33%)
  • Sakhalin State University (1.33%)
  • Sakhalin WikiExpedition 2017 (1.33%)
  • Ships named after Sakhalin (1.33%)
  • Genetic studies on Nivkh (1.33%)
Dominant nodes (excluded from chart)
Sakhalin 74.67%
Influence Share (vs Direct Neighbours)
10.94% (1.14 overall)
  • This Post (10.94%)
  • Sakhalin (12.50%)
  • Aniva Lighthouse (10.94%)
  • Mount Zhdanko (10.94%)
  • Sakhalin Koreans (10.94%)
  • Sakhalin State University (10.94%)
  • Sakhalin WikiExpedition 2017 (10.94%)
  • Ships named after Sakhalin (10.94%)
  • Genetic studies on Nivkh (10.94%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Sakhalin ↗
Str: 56Inf: 1.14
Aniva Lighthouse ↗
Str: 1Inf: 1
Mount Zhdanko ↗
Str: 1Inf: 1
Sakhalin Koreans ↗
Str: 9Inf: 1
Sakhalin State University ↗
Str: 1Inf: 1
Sakhalin WikiExpedition 2017 ↗
Str: 1Inf: 1
Ships named after Sakhalin ↗
Str: 1Inf: 1
Genetic studies on Nivkh ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Genetic studies on Nivkh ↗
Str: 1Inf: 1
Ships named after Sakhalin ↗
Str: 1Inf: 1
Sakhalin WikiExpedition 2017 ↗
Str: 1Inf: 1
Sakhalin State University ↗
Str: 1Inf: 1
Sakhalin Koreans ↗
Str: 9Inf: 1
Mount Zhdanko ↗
Str: 1Inf: 1
Aniva Lighthouse ↗
Str: 1Inf: 1
Sakhalin ↗
Str: 56Inf: 1.14

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

Outbound Tags (2)
Genetic studies on Nivkh
Sakhalin
Inbound Posts (2)
Sakhalin
Genetic studies on Nivkh
Last calculated: Jun 26, 4:32 PM
18

Related Content

Locations

  • Sakhalin

Topics

  • Sakhalin State University
  • Sakhalin WikiExpedition 2017
  • Ships named after Sakhalin
  • Genetic studies on Nivkh
  • Aniva Lighthouse
  • Mount Zhdanko
  • Sakhalin Koreans