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Analyzing Network Connections...

Network Profile

Overall Strength
i
0.39% of network
(3.6K)
Strength Breakdown
  • This Post (0.39%)
  • Aleksei Yelizavetsky (0.39%)
  • Dmitriy Lipskerov (0.39%)
  • Irina Matveyevskaya (0.39%)
  • Ivan Shchyogolev (0.39%)
  • Marina Sakharova (0.39%)
  • Nikolay Stotskiy (0.39%)
  • Olga Bashkina (0.39%)
  • Pavel Semenikhin (0.39%)
  • Svetlana Ryabova (0.39%)
  • Tamara Syomina (0.39%)
  • Tatyana Lebedeva (0.39%)
  • Vladimir Nekrasov (0.39%)
  • Yuriy Sarantsev (0.39%)
Dominant nodes (excluded from chart)
Special Unit 88.24%Wanja Mues 6.27%
Influence Score
i
6.25% of network
(1)
Influence Breakdown
  • This Post (6.25%)
  • Wanja Mues (6.25%)
  • Special Unit (6.25%)
  • Aleksei Yelizavetsky (6.25%)
  • Dmitriy Lipskerov (6.25%)
  • Irina Matveyevskaya (6.25%)
  • Ivan Shchyogolev (6.25%)
  • Marina Sakharova (6.25%)
  • Nikolay Stotskiy (6.25%)
  • Olga Bashkina (6.25%)
  • Pavel Semenikhin (6.25%)
  • Svetlana Ryabova (6.25%)
  • Tamara Syomina (6.25%)
  • Tatyana Lebedeva (6.25%)
  • Vladimir Nekrasov (6.25%)
  • Yuriy Sarantsev (6.25%)
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 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 16 [Wanja Mues] *
                            225 [Special Unit] *
                            1 [Aleksei Yelizavetsky] *
                            1 [Dmitriy Lipskerov] *
                            1 [Irina Matveyevskaya] *
                            1 [Ivan Shchyogolev] *
                            1 [Marina Sakharova] *
                            1 [Nikolay Stotskiy] *
                            1 [Olga Bashkina] *
                            1 [Pavel Semenikhin] *
                            1 [Svetlana Ryabova] *
                            1 [Tamara Syomina] *
                            1 [Tatyana Lebedeva] *
                            1 [Vladimir Nekrasov] *
                            1 [Yuriy Sarantsev]
                           )

                         = 3.6K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Wanja Mues] *
                            1 [Special Unit] *
                            1 [Aleksei Yelizavetsky] *
                            1 [Dmitriy Lipskerov] *
                            1 [Irina Matveyevskaya] *
                            1 [Ivan Shchyogolev] *
                            1 [Marina Sakharova] *
                            1 [Nikolay Stotskiy] *
                            1 [Olga Bashkina] *
                            1 [Pavel Semenikhin] *
                            1 [Svetlana Ryabova] *
                            1 [Tamara Syomina] *
                            1 [Tatyana Lebedeva] *
                            1 [Vladimir Nekrasov] *
                            1 [Yuriy Sarantsev]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 15 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.39% (3.6K overall)
  • This Post (0.39%)
  • Aleksei Yelizavetsky (0.39%)
  • Dmitriy Lipskerov (0.39%)
  • Irina Matveyevskaya (0.39%)
  • Ivan Shchyogolev (0.39%)
  • Marina Sakharova (0.39%)
  • Nikolay Stotskiy (0.39%)
  • Olga Bashkina (0.39%)
  • Pavel Semenikhin (0.39%)
  • Svetlana Ryabova (0.39%)
  • Tamara Syomina (0.39%)
  • Tatyana Lebedeva (0.39%)
  • Vladimir Nekrasov (0.39%)
  • Yuriy Sarantsev (0.39%)
Dominant nodes (excluded from chart)
Special Unit 88.24%Wanja Mues 6.27%
Influence Share (vs Direct Neighbours)
6.25% (1 overall)
  • This Post (6.25%)
  • Wanja Mues (6.25%)
  • Special Unit (6.25%)
  • Aleksei Yelizavetsky (6.25%)
  • Dmitriy Lipskerov (6.25%)
  • Irina Matveyevskaya (6.25%)
  • Ivan Shchyogolev (6.25%)
  • Marina Sakharova (6.25%)
  • Nikolay Stotskiy (6.25%)
  • Olga Bashkina (6.25%)
  • Pavel Semenikhin (6.25%)
  • Svetlana Ryabova (6.25%)
  • Tamara Syomina (6.25%)
  • Tatyana Lebedeva (6.25%)
  • Vladimir Nekrasov (6.25%)
  • Yuriy Sarantsev (6.25%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Wanja Mues ↗
Str: 16Inf: 1
Special Unit ↗
Str: 225Inf: 1
Aleksei Yelizavetsky ↗
Str: 1Inf: 1
Dmitriy Lipskerov ↗
Str: 1Inf: 1
Irina Matveyevskaya ↗
Str: 1Inf: 1
Ivan Shchyogolev ↗
Str: 1Inf: 1
Marina Sakharova ↗
Str: 1Inf: 1
Nikolay Stotskiy ↗
Str: 1Inf: 1
Olga Bashkina ↗
Str: 1Inf: 1
Pavel Semenikhin ↗
Str: 1Inf: 1
Svetlana Ryabova ↗
Str: 1Inf: 1
Tamara Syomina ↗
Str: 1Inf: 1
Tatyana Lebedeva ↗
Str: 1Inf: 1
Vladimir Nekrasov ↗
Str: 1Inf: 1
Yuriy Sarantsev ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Yuriy Sarantsev ↗
Str: 1Inf: 1
Vladimir Nekrasov ↗
Str: 1Inf: 1
Tatyana Lebedeva ↗
Str: 1Inf: 1
Tamara Syomina ↗
Str: 1Inf: 1
Svetlana Ryabova ↗
Str: 1Inf: 1
Pavel Semenikhin ↗
Str: 1Inf: 1
Olga Bashkina ↗
Str: 1Inf: 1
Nikolay Stotskiy ↗
Str: 1Inf: 1
Marina Sakharova ↗
Str: 1Inf: 1
Ivan Shchyogolev ↗
Str: 1Inf: 1
Irina Matveyevskaya ↗
Str: 1Inf: 1
Dmitriy Lipskerov ↗
Str: 1Inf: 1
Aleksei Yelizavetsky ↗
Str: 1Inf: 1
Special Unit ↗
Str: 225Inf: 1
Wanja Mues ↗
Str: 16Inf: 1

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

Outbound Tags (1)
Special Unit
Inbound Posts (1)
Special Unit
Last calculated: Jun 10, 1:29 PM
10

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