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SkálaDo zubu a do srdíckaPavel SkálaDneska prisel nový klukJakub

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Marsyas

Analyzing Network Connections...

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Nearest Locations

  • 📍
    KOMARA19.5 km away
  • 📍
    Kapıkule22.4 km away
  • 📍
    Kapıkule railway station22.8 km away
  • 📍
    Pazarkule34.7 km away
  • Thumbnail for Edirne
    Edirne40.9 km away

Network Profile

Overall Strength
i
1.32% of network
(896)
Strength Breakdown
  • This Post (1.32%)
  • Jakub (1.32%)
  • Dneska prisel nový kluk (1.32%)
  • Do zubu a do srdícka (1.32%)
Dominant nodes (excluded from chart)
Skála 73.68%Pavel Skála 21.05%
Influence Score
i
16.28% of network
(1.14)
Influence Breakdown
  • This Post (16.28%)
  • Skála (18.61%)
  • Pavel Skála (16.28%)
  • Jakub (16.28%)
  • Dneska prisel nový kluk (16.28%)
  • Do zubu a do srdícka (16.28%)
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 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 56 [Skála] *
                            16 [Pavel Skála] *
                            1 [Jakub] *
                            1 [Dneska prisel nový kluk] *
                            1 [Do zubu a do srdícka]
                           )

                         = 896

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.14 [Skála] *
                            1 [Pavel Skála] *
                            1 [Jakub] *
                            1 [Dneska prisel nový kluk] *
                            1 [Do zubu a do srdícka]
                           )

                         = 1.14
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 5 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.32% (896 overall)
  • This Post (1.32%)
  • Jakub (1.32%)
  • Dneska prisel nový kluk (1.32%)
  • Do zubu a do srdícka (1.32%)
Dominant nodes (excluded from chart)
Skála 73.68%Pavel Skála 21.05%
Influence Share (vs Direct Neighbours)
16.28% (1.14 overall)
  • This Post (16.28%)
  • Skála (18.61%)
  • Pavel Skála (16.28%)
  • Jakub (16.28%)
  • Dneska prisel nový kluk (16.28%)
  • Do zubu a do srdícka (16.28%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Skála ↗
Str: 56Inf: 1.14
Pavel Skála ↗
Str: 16Inf: 1
Jakub ↗
Str: 1Inf: 1
Dneska prisel nový kluk ↗
Str: 1Inf: 1
Do zubu a do srdícka ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Do zubu a do srdícka ↗
Str: 1Inf: 1
Dneska prisel nový kluk ↗
Str: 1Inf: 1
Jakub ↗
Str: 1Inf: 1
Pavel Skála ↗
Str: 16Inf: 1
Skála ↗
Str: 56Inf: 1.14

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

Outbound Tags (1)
Pavel Skála
BROKEN LINK
Inbound Posts (1)
No other posts link to this one yet.
Last calculated: Sep 1, 7:40 PM
Mezek, Haskovo, Bulgaria12

Related Content

Figures

  • Pavel Skála

Topics

  • Skála
  • Jakub
  • Dneska prisel nový kluk
  • Do zubu a do srdícka