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Kangwon
WonsanMurals in WonsanFishing in WonsanSongdowon Youth CampWonsan to SinhuangsanStatues in Wonsan

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Wonsan Revolutionary Museum

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Related Images

Kangwon

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.03% of network
(2.1K)
Strength Breakdown
  • This Post (1.03%)
  • Fishing in Wonsan (1.03%)
  • Murals in Wonsan (1.03%)
  • Songdowon Youth Camp (1.03%)
  • Statues in Wonsan (1.03%)
  • Wonsan to Sinhuangsan (1.03%)
Dominant nodes (excluded from chart)
Wonsan 50.52%Kangwon 43.30%
Influence Score
i
12.24% of network
(1.17)
Influence Breakdown
  • This Post (12.24%)
  • Kangwon (14.29%)
  • Wonsan (12.24%)
  • Fishing in Wonsan (12.24%)
  • Murals in Wonsan (12.24%)
  • Songdowon Youth Camp (12.24%)
  • Statues in Wonsan (12.24%)
  • Wonsan to Sinhuangsan (12.24%)
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 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 42 [Kangwon] *
                            49 [Wonsan] *
                            1 [Fishing in Wonsan] *
                            1 [Murals in Wonsan] *
                            1 [Songdowon Youth Camp] *
                            1 [Statues in Wonsan] *
                            1 [Wonsan to Sinhuangsan]
                           )

                         = 2.1K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.17 [Kangwon] *
                            1 [Wonsan] *
                            1 [Fishing in Wonsan] *
                            1 [Murals in Wonsan] *
                            1 [Songdowon Youth Camp] *
                            1 [Statues in Wonsan] *
                            1 [Wonsan to Sinhuangsan]
                           )

                         = 1.17
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 7 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.03% (2.1K overall)
  • This Post (1.03%)
  • Fishing in Wonsan (1.03%)
  • Murals in Wonsan (1.03%)
  • Songdowon Youth Camp (1.03%)
  • Statues in Wonsan (1.03%)
  • Wonsan to Sinhuangsan (1.03%)
Dominant nodes (excluded from chart)
Wonsan 50.52%Kangwon 43.30%
Influence Share (vs Direct Neighbours)
12.24% (1.17 overall)
  • This Post (12.24%)
  • Kangwon (14.29%)
  • Wonsan (12.24%)
  • Fishing in Wonsan (12.24%)
  • Murals in Wonsan (12.24%)
  • Songdowon Youth Camp (12.24%)
  • Statues in Wonsan (12.24%)
  • Wonsan to Sinhuangsan (12.24%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Kangwon ↗
Str: 42Inf: 1.17
Wonsan ↗
Str: 49Inf: 1
Fishing in Wonsan ↗
Str: 1Inf: 1
Murals in Wonsan ↗
Str: 1Inf: 1
Songdowon Youth Camp ↗
Str: 1Inf: 1
Statues in Wonsan ↗
Str: 1Inf: 1
Wonsan to Sinhuangsan ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Wonsan to Sinhuangsan ↗
Str: 1Inf: 1
Statues in Wonsan ↗
Str: 1Inf: 1
Songdowon Youth Camp ↗
Str: 1Inf: 1
Murals in Wonsan ↗
Str: 1Inf: 1
Fishing in Wonsan ↗
Str: 1Inf: 1
Wonsan ↗
Str: 49Inf: 1
Kangwon ↗
Str: 42Inf: 1.17

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

Outbound Tags (1)
Wonsan
Inbound Posts (1)
Wonsan
Last calculated: Jun 24, 9:03 PM
15

Related Content

Regionals

  • Kangwon

Topics

  • Fishing in Wonsan
  • Murals in Wonsan
  • Songdowon Youth Camp
  • Statues in Wonsan
  • Wonsan to Sinhuangsan
  • Wonsan