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Max FatullaevAlexander Koziychuk
Donetsk
Roman Ibramhalilov
jinjer
Vyacheslav OkhrimenkoDmytro GerasimovTatiana Shmailyuk – Elbriot 2022Eugene AbduhanovDmitry Oksen

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Connected Bands/Artists

  • Tatiana Shmailyuk – Elbriot 2022

Connected Musicians

  • Alexander Koziychuk
  • Dmitry Oksen
  • Dmytro Gerasimov
  • Eugene Abduhanov
  • Max Fatullaev
  • Roman Ibramhalilov
  • Vlad Ulasevich
  • Vyacheslav Okhrimenko

Analyzing Network Connections...

Network Profile

Overall Strength
i
3.25% of network
(4K)
Strength Breakdown
  • This Post (3.25%)
  • Alexander Koziychuk (0.81%)
  • Dmitry Oksen (0.81%)
  • Dmytro Gerasimov (0.81%)
  • Eugene Abduhanov (0.81%)
  • Max Fatullaev (0.81%)
  • Roman Ibramhalilov (0.81%)
  • Vlad Ulasevich (0.81%)
  • Vyacheslav Okhrimenko (0.81%)
  • Tatiana Shmailyuk - Elbriot 2022 (0.81%)
Dominant nodes (excluded from chart)
jinjer 81.30%Donetsk 8.13%
Influence Score
i
7.41% of network
(2.5)
Influence Breakdown
  • This Post (7.41%)
  • Donetsk (18.52%)
  • jinjer (7.41%)
  • Alexander Koziychuk (7.41%)
  • Dmitry Oksen (7.41%)
  • Dmytro Gerasimov (7.41%)
  • Eugene Abduhanov (7.41%)
  • Max Fatullaev (7.41%)
  • Roman Ibramhalilov (7.41%)
  • Vlad Ulasevich (7.41%)
  • Vyacheslav Okhrimenko (7.41%)
  • Tatiana Shmailyuk - Elbriot 2022 (7.41%)
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 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 10 [Donetsk] *
                            100 [jinjer] *
                            1 [Alexander Koziychuk] *
                            1 [Dmitry Oksen] *
                            1 [Dmytro Gerasimov] *
                            1 [Eugene Abduhanov] *
                            1 [Max Fatullaev] *
                            1 [Roman Ibramhalilov] *
                            1 [Vlad Ulasevich] *
                            1 [Vyacheslav Okhrimenko] *
                            1 [Tatiana Shmailyuk - Elbriot 2022]
                           )

                         = 4K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2.5 [Donetsk] *
                            1 [jinjer] *
                            1 [Alexander Koziychuk] *
                            1 [Dmitry Oksen] *
                            1 [Dmytro Gerasimov] *
                            1 [Eugene Abduhanov] *
                            1 [Max Fatullaev] *
                            1 [Roman Ibramhalilov] *
                            1 [Vlad Ulasevich] *
                            1 [Vyacheslav Okhrimenko] *
                            1 [Tatiana Shmailyuk - Elbriot 2022]
                           )

                         = 2.5
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 11 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
3.25% (4K overall)
  • This Post (3.25%)
  • Alexander Koziychuk (0.81%)
  • Dmitry Oksen (0.81%)
  • Dmytro Gerasimov (0.81%)
  • Eugene Abduhanov (0.81%)
  • Max Fatullaev (0.81%)
  • Roman Ibramhalilov (0.81%)
  • Vlad Ulasevich (0.81%)
  • Vyacheslav Okhrimenko (0.81%)
  • Tatiana Shmailyuk - Elbriot 2022 (0.81%)
Dominant nodes (excluded from chart)
jinjer 81.30%Donetsk 8.13%
Influence Share (vs Direct Neighbours)
7.41% (2.5 overall)
  • This Post (7.41%)
  • Donetsk (18.52%)
  • jinjer (7.41%)
  • Alexander Koziychuk (7.41%)
  • Dmitry Oksen (7.41%)
  • Dmytro Gerasimov (7.41%)
  • Eugene Abduhanov (7.41%)
  • Max Fatullaev (7.41%)
  • Roman Ibramhalilov (7.41%)
  • Vlad Ulasevich (7.41%)
  • Vyacheslav Okhrimenko (7.41%)
  • Tatiana Shmailyuk - Elbriot 2022 (7.41%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Donetsk ↗
Str: 10Inf: 2.5
jinjer ↗
Str: 100Inf: 1
Alexander Koziychuk ↗
Str: 1Inf: 1
Dmitry Oksen ↗
Str: 1Inf: 1
Dmytro Gerasimov ↗
Str: 1Inf: 1
Eugene Abduhanov ↗
Str: 1Inf: 1
Max Fatullaev ↗
Str: 1Inf: 1
Roman Ibramhalilov ↗
Str: 1Inf: 1
Vlad Ulasevich ↗
Str: 1Inf: 1
Vyacheslav Okhrimenko ↗
Str: 1Inf: 1
Tatiana Shmailyuk - Elbriot 2022 ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Tatiana Shmailyuk - Elbriot 2022 ↗
Str: 1Inf: 1
Vyacheslav Okhrimenko ↗
Str: 1Inf: 1
Vlad Ulasevich ↗
Str: 1Inf: 1
Roman Ibramhalilov ↗
Str: 1Inf: 1
Max Fatullaev ↗
Str: 1Inf: 1
Eugene Abduhanov ↗
Str: 1Inf: 1
Dmytro Gerasimov ↗
Str: 1Inf: 1
Dmitry Oksen ↗
Str: 1Inf: 1
Alexander Koziychuk ↗
Str: 1Inf: 1
jinjer ↗
Str: 100Inf: 1
Donetsk ↗
Str: 10Inf: 2.5

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

Outbound Tags (2)
jinjer
Tatiana Shmailyuk - Elbriot 2022
Inbound Posts (2)
jinjer
Tatiana Shmailyuk - Elbriot 2022
Last calculated: Oct 6, 4:50 PM
62

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