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Russia of the Future

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Leonid Volkov
Persecution of Alexey Navalny
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Analyzing Network Connections...

Loading Map...

Nearest Locations

  • Thumbnail for Stalin
    Stalin0.0 km away
  • 📍
    Architecture of Donetsk17.7 km away
  • 📍
    Maikop kurgan84.6 km away
  • Thumbnail for Maykop
    Maykop88.6 km away
  • 📍
    Cherkessk railway station92.6 km away

Network Profile

Overall Strength
i
6.90% of network
(54K)
Strength Breakdown
  • This Post (6.90%)
  • Yale University (43.10%)
  • St petersberg (25.86%)
  • Alexei Navalny (15.52%)
  • Ruslan Shaveddinov (6.90%)
  • Dateline (1.72%)
Influence Score
i
15.00% of network
(1.67)
Influence Breakdown
  • This Post (15.00%)
  • St petersberg (25.00%)
  • Yale University (15.00%)
  • Alexei Navalny (15.00%)
  • Ruslan Shaveddinov (15.00%)
  • Dateline (15.00%)
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 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 15 [St petersberg] *
                            25 [Yale University] *
                            9 [Alexei Navalny] *
                            4 [Ruslan Shaveddinov] *
                            1 [Dateline]
                           )

                         = 54K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.67 [St petersberg] *
                            1 [Yale University] *
                            1 [Alexei Navalny] *
                            1 [Ruslan Shaveddinov] *
                            1 [Dateline]
                           )

                         = 1.67
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 5 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
6.90% (54K overall)
  • This Post (6.90%)
  • Yale University (43.10%)
  • St petersberg (25.86%)
  • Alexei Navalny (15.52%)
  • Ruslan Shaveddinov (6.90%)
  • Dateline (1.72%)
Influence Share (vs Direct Neighbours)
15.00% (1.67 overall)
  • This Post (15.00%)
  • St petersberg (25.00%)
  • Yale University (15.00%)
  • Alexei Navalny (15.00%)
  • Ruslan Shaveddinov (15.00%)
  • Dateline (15.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
St petersberg ↗
Str: 15Inf: 1.67
Yale University ↗
Str: 25Inf: 1
Alexei Navalny ↗
Str: 9Inf: 1
Ruslan Shaveddinov ↗
Str: 4Inf: 1
Dateline ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Dateline ↗
Str: 1Inf: 1
Ruslan Shaveddinov ↗
Str: 4Inf: 1
Alexei Navalny ↗
Str: 9Inf: 1
Yale University ↗
Str: 25Inf: 1
St petersberg ↗
Str: 15Inf: 1.67

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

Outbound Tags (2)
Alexei Navalny
Ruslan Shaveddinov
Inbound Posts (2)
Alexei Navalny
Ruslan Shaveddinov
Last calculated: Jul 3, 1:02 AM
Novokubansky District, Russia49

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