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Sakhalin

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Related Images

Sakhalin Husky

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Yuzhno-Sakhalinsk park393.6 km away
  • 📍
    Karafuto Shrine394.3 km away
  • Thumbnail for Yuzhno-Sakhalinsk
    Yuzhno-Sakhalinsk395.2 km away
  • 📍
    Aniva Lighthouse499.2 km away

Network Profile

Overall Strength
i
72.73% of network
(2K)
Strength Breakdown
  • This Post (72.73%)
  • Sakhalin Koreans (11.69%)
  • Nivkh people (5.19%)
  • Aniva Lighthouse (1.30%)
  • Mount Zhdanko (1.30%)
  • Sakhalin State University (1.30%)
  • Sakhalin WikiExpedition 2017 (1.30%)
  • Ships named after Sakhalin (1.30%)
  • Genetic studies on Nivkh (1.30%)
  • Hometown Village (1.30%)
  • Nellie Kim (1.30%)
Influence Score
i
10.26% of network
(1.14)
Influence Breakdown
  • This Post (10.26%)
  • Aniva Lighthouse (8.97%)
  • Mount Zhdanko (8.97%)
  • Nivkh people (8.97%)
  • Sakhalin Koreans (8.97%)
  • Sakhalin State University (8.97%)
  • Sakhalin WikiExpedition 2017 (8.97%)
  • Ships named after Sakhalin (8.97%)
  • Genetic studies on Nivkh (8.97%)
  • Hometown Village (8.97%)
  • Nellie Kim (8.97%)
Direct Connections 15

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, 8) = 8
$outbound = max(1, 7) = 7

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 8 * 7 = 56
Base_Influence (IV) = $inbound / $outbound = 8 / 7 = 1.1429

// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 56 *
                           ( 1 [Aniva Lighthouse] *
                            1 [Mount Zhdanko] *
                            4 [Nivkh people] *
                            9 [Sakhalin Koreans] *
                            1 [Sakhalin State University] *
                            1 [Sakhalin WikiExpedition 2017] *
                            1 [Ships named after Sakhalin] *
                            1 [Genetic studies on Nivkh] *
                            1 [Hometown Village] *
                            1 [Nellie Kim]
                           )

                         = 2K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1.1429 *
                           ( 1 [Aniva Lighthouse] *
                            1 [Mount Zhdanko] *
                            1 [Nivkh people] *
                            1 [Sakhalin Koreans] *
                            1 [Sakhalin State University] *
                            1 [Sakhalin WikiExpedition 2017] *
                            1 [Ships named after Sakhalin] *
                            1 [Genetic studies on Nivkh] *
                            1 [Hometown Village] *
                            1 [Nellie Kim]
                           )

                         = 1.14
Outbound 8 Tags on post
Inbound 7 Posts tagging this
Connections 10 Total nodes
Base Node Strength 56
Base Node Influence 1.1429
Strength Share (vs Direct Neighbours)
72.73% (2K overall)
  • This Post (72.73%)
  • Sakhalin Koreans (11.69%)
  • Nivkh people (5.19%)
  • Aniva Lighthouse (1.30%)
  • Mount Zhdanko (1.30%)
  • Sakhalin State University (1.30%)
  • Sakhalin WikiExpedition 2017 (1.30%)
  • Ships named after Sakhalin (1.30%)
  • Genetic studies on Nivkh (1.30%)
  • Hometown Village (1.30%)
  • Nellie Kim (1.30%)
Influence Share (vs Direct Neighbours)
10.26% (1.14 overall)
  • This Post (10.26%)
  • Aniva Lighthouse (8.97%)
  • Mount Zhdanko (8.97%)
  • Nivkh people (8.97%)
  • Sakhalin Koreans (8.97%)
  • Sakhalin State University (8.97%)
  • Sakhalin WikiExpedition 2017 (8.97%)
  • Ships named after Sakhalin (8.97%)
  • Genetic studies on Nivkh (8.97%)
  • Hometown Village (8.97%)
  • Nellie Kim (8.97%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Aniva Lighthouse ↗
Str: 1Inf: 1
Mount Zhdanko ↗
Str: 1Inf: 1
Nivkh people ↗
Str: 4Inf: 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
Hometown Village ↗
Str: 1Inf: 1
Nellie Kim ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Nellie Kim ↗
Str: 1Inf: 1
Hometown Village ↗
Str: 1Inf: 1
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
Nivkh people ↗
Str: 4Inf: 1
Mount Zhdanko ↗
Str: 1Inf: 1
Aniva Lighthouse ↗
Str: 1Inf: 1

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

Outbound Tags (8)
Aniva Lighthouse
Mount Zhdanko
Nivkh people
Sakhalin Husky
BROKEN LINK
Sakhalin Koreans
Sakhalin State University
Sakhalin WikiExpedition 2017
Ships named after Sakhalin
Inbound Posts (7)
Aniva Lighthouse
Mount Zhdanko
Nivkh people
Sakhalin Koreans
Sakhalin State University
Sakhalin WikiExpedition 2017
Ships named after Sakhalin
Last calculated: Jun 24, 11:32 AM
Tymovsky District, Russia22

Related Content

Topics

  • Ships named after Sakhalin
  • Genetic studies on Nivkh
  • Aniva Lighthouse
  • Hometown Village
  • Mount Zhdanko
  • Nellie Kim
  • Nivkh people
  • Sakhalin Koreans
  • Sakhalin State University
  • Sakhalin WikiExpedition 2017