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Related Images

Moravian-Silesian
Central Bohemian
Micromobility in Czech Republic
Plzeň
Zlín
Vysočina
Pardubice
South Moravian
Hradec Králové
Prague
South Bohemian
Liberec
Ústí nad Labem
Olomouc
Karlovy Vary

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • Thumbnail for Vysočina
    Vysočina33.8 km away
  • 📍
    Most Tisno52.1 km away
  • 📍
    Brno54.9 km away
  • 📍
    Sněť58.3 km away
  • 📍
    Church of the Annunciation61.7 km away

Network Profile

Overall Strength
i
0.40% of network
(28.8K)
Strength Breakdown
  • This Post (0.40%)
  • Karlovy Vary (1.61%)
  • Prague (1.61%)
  • Liberec (0.80%)
  • Plzeň (0.80%)
  • South Bohemian (0.80%)
  • Central Bohemian (0.40%)
  • Hradec Králové (0.40%)
  • Moravian-Silesian (0.40%)
  • Olomouc (0.40%)
  • Pardubice (0.40%)
  • South Moravian (0.40%)
  • Ústí nad Labem (0.40%)
  • Vysočina (0.40%)
  • Zlín (0.40%)
Dominant nodes (excluded from chart)
Czech Republic 90.36%
Influence Score
i
5.26% of network
(8)
Influence Breakdown
  • This Post (5.26%)
  • Liberec (10.53%)
  • Plzeň (10.53%)
  • South Bohemian (10.53%)
  • Czech Republic (5.26%)
  • Central Bohemian (5.26%)
  • Hradec Králové (5.26%)
  • Karlovy Vary (5.26%)
  • Moravian-Silesian (5.26%)
  • Olomouc (5.26%)
  • Pardubice (5.26%)
  • Prague (5.26%)
  • South Moravian (5.26%)
  • Ústí nad Labem (5.26%)
  • Vysočina (5.26%)
  • Zlín (5.26%)
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 *
                           ( 2 [Liberec] *
                            2 [Plzeň] *
                            2 [South Bohemian] *
                            225 [Czech Republic] *
                            1 [Central Bohemian] *
                            1 [Hradec Králové] *
                            4 [Karlovy Vary] *
                            1 [Moravian-Silesian] *
                            1 [Olomouc] *
                            1 [Pardubice] *
                            4 [Prague] *
                            1 [South Moravian] *
                            1 [Ústí nad Labem] *
                            1 [Vysočina] *
                            1 [Zlín]
                           )

                         = 28.8K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2 [Liberec] *
                            2 [Plzeň] *
                            2 [South Bohemian] *
                            1 [Czech Republic] *
                            1 [Central Bohemian] *
                            1 [Hradec Králové] *
                            1 [Karlovy Vary] *
                            1 [Moravian-Silesian] *
                            1 [Olomouc] *
                            1 [Pardubice] *
                            1 [Prague] *
                            1 [South Moravian] *
                            1 [Ústí nad Labem] *
                            1 [Vysočina] *
                            1 [Zlín]
                           )

                         = 8
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)
0.40% (28.8K overall)
  • This Post (0.40%)
  • Karlovy Vary (1.61%)
  • Prague (1.61%)
  • Liberec (0.80%)
  • Plzeň (0.80%)
  • South Bohemian (0.80%)
  • Central Bohemian (0.40%)
  • Hradec Králové (0.40%)
  • Moravian-Silesian (0.40%)
  • Olomouc (0.40%)
  • Pardubice (0.40%)
  • South Moravian (0.40%)
  • Ústí nad Labem (0.40%)
  • Vysočina (0.40%)
  • Zlín (0.40%)
Dominant nodes (excluded from chart)
Czech Republic 90.36%
Influence Share (vs Direct Neighbours)
5.26% (8 overall)
  • This Post (5.26%)
  • Liberec (10.53%)
  • Plzeň (10.53%)
  • South Bohemian (10.53%)
  • Czech Republic (5.26%)
  • Central Bohemian (5.26%)
  • Hradec Králové (5.26%)
  • Karlovy Vary (5.26%)
  • Moravian-Silesian (5.26%)
  • Olomouc (5.26%)
  • Pardubice (5.26%)
  • Prague (5.26%)
  • South Moravian (5.26%)
  • Ústí nad Labem (5.26%)
  • Vysočina (5.26%)
  • Zlín (5.26%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Liberec ↗
Str: 2Inf: 2
Plzeň ↗
Str: 2Inf: 2
South Bohemian ↗
Str: 2Inf: 2
Czech Republic ↗
Str: 225Inf: 1
Central Bohemian ↗
Str: 1Inf: 1
Hradec Králové ↗
Str: 1Inf: 1
Karlovy Vary ↗
Str: 4Inf: 1
Moravian-Silesian ↗
Str: 1Inf: 1
Olomouc ↗
Str: 1Inf: 1
Pardubice ↗
Str: 1Inf: 1
Prague ↗
Str: 4Inf: 1
South Moravian ↗
Str: 1Inf: 1
Ústí nad Labem ↗
Str: 1Inf: 1
Vysočina ↗
Str: 1Inf: 1
Zlín ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Zlín ↗
Str: 1Inf: 1
Vysočina ↗
Str: 1Inf: 1
Ústí nad Labem ↗
Str: 1Inf: 1
South Moravian ↗
Str: 1Inf: 1
Prague ↗
Str: 4Inf: 1
Pardubice ↗
Str: 1Inf: 1
Olomouc ↗
Str: 1Inf: 1
Moravian-Silesian ↗
Str: 1Inf: 1
Karlovy Vary ↗
Str: 4Inf: 1
Hradec Králové ↗
Str: 1Inf: 1
Central Bohemian ↗
Str: 1Inf: 1
Czech Republic ↗
Str: 225Inf: 1
South Bohemian ↗
Str: 2Inf: 2
Plzeň ↗
Str: 2Inf: 2
Liberec ↗
Str: 2Inf: 2

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

Outbound Tags (1)
Czech Republic
Inbound Posts (1)
Czech Republic
Last calculated: Jun 19, 7:46 AM
Obyčtov, Vysočina Region, Czechia60

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