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Analyzing Network Connections...

Network Profile

Overall Strength
i
85.82% of network
(4.4K)
Strength Breakdown
  • This Post (85.82%)
  • Vilnius (4.26%)
  • Panevėžys (2.13%)
  • Kaziuko mugė (1.42%)
  • Alytus (0.71%)
  • Kaunas (0.71%)
  • Klaipėda (0.71%)
  • Marijampolė (0.71%)
  • Šiauliai (0.71%)
  • Tauragė (0.71%)
  • Telšiai (0.71%)
  • Utena (0.71%)
  • Konstantinovo (0.71%)
Influence Score
i
6.67% of network
(2.25)
Influence Breakdown
  • This Post (6.67%)
  • Panevėžys (20.00%)
  • Vilnius (10.00%)
  • Alytus (6.67%)
  • Kaunas (6.67%)
  • Klaipėda (6.67%)
  • Marijampolė (6.67%)
  • Šiauliai (6.67%)
  • Tauragė (6.67%)
  • Telšiai (6.67%)
  • Utena (6.67%)
  • Konstantinovo (6.67%)
  • Kaziuko mugė (3.33%)
Direct Connections 22

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, 11) = 11
$outbound = max(1, 11) = 11

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 11 * 11 = 121
Base_Influence (IV) = $inbound / $outbound = 11 / 11 = 1

// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 121 *
                           ( 3 [Panevėžys] *
                            6 [Vilnius] *
                            1 [Alytus] *
                            1 [Kaunas] *
                            1 [Klaipėda] *
                            1 [Marijampolė] *
                            1 [Šiauliai] *
                            1 [Tauragė] *
                            1 [Telšiai] *
                            1 [Utena] *
                            1 [Konstantinovo] *
                            2 [Kaziuko mugė]
                           )

                         = 4.4K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 3 [Panevėžys] *
                            1.5 [Vilnius] *
                            1 [Alytus] *
                            1 [Kaunas] *
                            1 [Klaipėda] *
                            1 [Marijampolė] *
                            1 [Šiauliai] *
                            1 [Tauragė] *
                            1 [Telšiai] *
                            1 [Utena] *
                            1 [Konstantinovo] *
                            0.5 [Kaziuko mugė]
                           )

                         = 2.25
Outbound 11 Tags on post
Inbound 11 Posts tagging this
Connections 12 Total nodes
Base Node Strength 121
Base Node Influence 1
Strength Share (vs Direct Neighbours)
85.82% (4.4K overall)
  • This Post (85.82%)
  • Vilnius (4.26%)
  • Panevėžys (2.13%)
  • Kaziuko mugė (1.42%)
  • Alytus (0.71%)
  • Kaunas (0.71%)
  • Klaipėda (0.71%)
  • Marijampolė (0.71%)
  • Šiauliai (0.71%)
  • Tauragė (0.71%)
  • Telšiai (0.71%)
  • Utena (0.71%)
  • Konstantinovo (0.71%)
Influence Share (vs Direct Neighbours)
6.67% (2.25 overall)
  • This Post (6.67%)
  • Panevėžys (20.00%)
  • Vilnius (10.00%)
  • Alytus (6.67%)
  • Kaunas (6.67%)
  • Klaipėda (6.67%)
  • Marijampolė (6.67%)
  • Šiauliai (6.67%)
  • Tauragė (6.67%)
  • Telšiai (6.67%)
  • Utena (6.67%)
  • Konstantinovo (6.67%)
  • Kaziuko mugė (3.33%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Panevėžys ↗
Str: 3Inf: 3
Vilnius ↗
Str: 6Inf: 1.5
Alytus ↗
Str: 1Inf: 1
Kaunas ↗
Str: 1Inf: 1
Klaipėda ↗
Str: 1Inf: 1
Marijampolė ↗
Str: 1Inf: 1
Šiauliai ↗
Str: 1Inf: 1
Tauragė ↗
Str: 1Inf: 1
Telšiai ↗
Str: 1Inf: 1
Utena ↗
Str: 1Inf: 1
Konstantinovo ↗
Str: 1Inf: 1
Kaziuko mugė ↗
Str: 2Inf: 0.5
Weakest Connections (Lowest Multipliers)
Kaziuko mugė ↗
Str: 2Inf: 0.5
Konstantinovo ↗
Str: 1Inf: 1
Utena ↗
Str: 1Inf: 1
Telšiai ↗
Str: 1Inf: 1
Tauragė ↗
Str: 1Inf: 1
Šiauliai ↗
Str: 1Inf: 1
Marijampolė ↗
Str: 1Inf: 1
Klaipėda ↗
Str: 1Inf: 1
Kaunas ↗
Str: 1Inf: 1
Alytus ↗
Str: 1Inf: 1
Vilnius ↗
Str: 6Inf: 1.5
Panevėžys ↗
Str: 3Inf: 3

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

Outbound Tags (11)
Alytus
Kaunas
Klaipėda
Konstantinovo
Marijampolė
Panevėžys
Tauragė
Telšiai
Utena
Vilnius
Šiauliai
Inbound Posts (11)
Alytus
Kaunas
Klaipėda
Marijampolė
Panevėžys
Šiauliai
Tauragė
Telšiai
Utena
Vilnius
Konstantinovo
Last calculated: Jul 5, 6:04 AM
Burgas, Lithuania49

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