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Vitebsk
Military of Belarus
Grodno
Molchat-Doma-Discoteque-Official-Music-Video-Молчат-Дома-Дискотека
Minsk
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Analyzing Network Connections...

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Nearest Locations

  • Thumbnail for Vitebsk
    Vitebsk13.8 km away
  • Thumbnail for Viciebsk Castle
    Viciebsk Castle13.9 km away
  • 📍
    Batali17.4 km away
  • Thumbnail for Latvia
    Latvia97.7 km away
  • Thumbnail for Rēzekne
    Rēzekne97.7 km away

Network Profile

Overall Strength
i
0.31% of network
(631.7M)
Strength Breakdown
  • This Post (0.31%)
  • Belarus (14.72%)
  • Vitebsk (2.76%)
  • Grodno (2.45%)
  • Minsk (2.45%)
  • Gomel (1.84%)
  • Brest (1.23%)
  • Mogilev (1.23%)
Dominant nodes (excluded from chart)
Latvia 73.01%
Influence Score
i
8.72% of network
(5.46)
Influence Breakdown
  • This Post (8.72%)
  • Grodno (17.45%)
  • Minsk (17.45%)
  • Gomel (13.08%)
  • Latvia (10.59%)
  • Brest (8.72%)
  • Mogilev (8.72%)
  • Vitebsk (8.72%)
  • Belarus (6.54%)
Direct Connections 1

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, 0) = 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 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 8 [Grodno] *
                            8 [Minsk] *
                            6 [Gomel] *
                            238 [Latvia] *
                            4 [Brest] *
                            4 [Mogilev] *
                            9 [Vitebsk] *
                            48 [Belarus]
                           )

                         = 631.7M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2 [Grodno] *
                            2 [Minsk] *
                            1.5 [Gomel] *
                            1.21 [Latvia] *
                            1 [Brest] *
                            1 [Mogilev] *
                            1 [Vitebsk] *
                            0.75 [Belarus]
                           )

                         = 5.46
Outbound 1 Tags on post
Inbound 0 Posts tagging this
Connections 8 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.31% (631.7M overall)
  • This Post (0.31%)
  • Belarus (14.72%)
  • Vitebsk (2.76%)
  • Grodno (2.45%)
  • Minsk (2.45%)
  • Gomel (1.84%)
  • Brest (1.23%)
  • Mogilev (1.23%)
Dominant nodes (excluded from chart)
Latvia 73.01%
Influence Share (vs Direct Neighbours)
8.72% (5.46 overall)
  • This Post (8.72%)
  • Grodno (17.45%)
  • Minsk (17.45%)
  • Gomel (13.08%)
  • Latvia (10.59%)
  • Brest (8.72%)
  • Mogilev (8.72%)
  • Vitebsk (8.72%)
  • Belarus (6.54%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Grodno ↗
Str: 8Inf: 2
Minsk ↗
Str: 8Inf: 2
Gomel ↗
Str: 6Inf: 1.5
Latvia ↗
Str: 238Inf: 1.21
Brest ↗
Str: 4Inf: 1
Mogilev ↗
Str: 4Inf: 1
Vitebsk ↗
Str: 9Inf: 1
Belarus ↗
Str: 48Inf: 0.75
Weakest Connections (Lowest Multipliers)
Belarus ↗
Str: 48Inf: 0.75
Vitebsk ↗
Str: 9Inf: 1
Mogilev ↗
Str: 4Inf: 1
Brest ↗
Str: 4Inf: 1
Latvia ↗
Str: 238Inf: 1.21
Gomel ↗
Str: 6Inf: 1.5
Minsk ↗
Str: 8Inf: 2
Grodno ↗
Str: 8Inf: 2

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

Outbound Tags (1)
Belarus
BROKEN LINK
Inbound Posts (0)
No other posts link to this one yet.
Last calculated: Jul 28, 1:00 PM
Vitsebsk, Vitsebsk Region, Belarus32

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