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Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Kunszentmiklós32.8 km away
  • 📍
    Pestszentimre34.5 km away
  • 📍
    Pestszentimre railway station34.5 km away
  • 📍
    Pestszentlőrinc38.3 km away
  • 📍
    Csepel-Csillagtelep42.2 km away

Network Profile

Overall Strength
i
57.65% of network
(18.8K)
Strength Breakdown
  • This Post (57.65%)
  • Balaton Sound (4.71%)
  • Győr (2.35%)
  • Pécs (2.35%)
  • Debrecen (1.18%)
  • Miskolc (1.18%)
  • Szeged (1.18%)
  • Székesfehérvár (1.18%)
Dominant nodes (excluded from chart)
Zamárdi 28.24%
Influence Score
i
7.89% of network
(10.67)
Influence Breakdown
  • This Post (7.89%)
  • Zamárdi (21.05%)
  • Győr (15.79%)
  • Pécs (15.79%)
  • Debrecen (7.89%)
  • Miskolc (7.89%)
  • Szeged (7.89%)
  • Székesfehérvár (7.89%)
  • Balaton Sound (7.89%)
Direct Connections 14

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, 7) = 7
$outbound = max(1, 7) = 7

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 7 = 49
Base_Influence (IV) = $inbound / $outbound = 7 / 7 = 1

// 3. Exponential Network Values (accumulating 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 49 *
                           ( 24 [Zamárdi] *
                            2 [Győr] *
                            2 [Pécs] *
                            1 [Debrecen] *
                            1 [Miskolc] *
                            1 [Szeged] *
                            1 [Székesfehérvár] *
                            4 [Balaton Sound]
                           )

                         = 18.8K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2.67 [Zamárdi] *
                            2 [Győr] *
                            2 [Pécs] *
                            1 [Debrecen] *
                            1 [Miskolc] *
                            1 [Szeged] *
                            1 [Székesfehérvár] *
                            1 [Balaton Sound]
                           )

                         = 10.67
Outbound 7 Tags on post
Inbound 7 Posts tagging this
Connections 8 Total nodes
Base Node Strength 49
Base Node Influence 1
Strength Share (vs Direct Neighbours)
57.65% (18.8K overall)
  • This Post (57.65%)
  • Balaton Sound (4.71%)
  • Győr (2.35%)
  • Pécs (2.35%)
  • Debrecen (1.18%)
  • Miskolc (1.18%)
  • Szeged (1.18%)
  • Székesfehérvár (1.18%)
Dominant nodes (excluded from chart)
Zamárdi 28.24%
Influence Share (vs Direct Neighbours)
7.89% (10.67 overall)
  • This Post (7.89%)
  • Zamárdi (21.05%)
  • Győr (15.79%)
  • Pécs (15.79%)
  • Debrecen (7.89%)
  • Miskolc (7.89%)
  • Szeged (7.89%)
  • Székesfehérvár (7.89%)
  • Balaton Sound (7.89%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Zamárdi ↗
Str: 24Inf: 2.67
Győr ↗
Str: 2Inf: 2
Pécs ↗
Str: 2Inf: 2
Debrecen ↗
Str: 1Inf: 1
Miskolc ↗
Str: 1Inf: 1
Szeged ↗
Str: 1Inf: 1
Székesfehérvár ↗
Str: 1Inf: 1
Balaton Sound ↗
Str: 4Inf: 1
Weakest Connections (Lowest Multipliers)
Balaton Sound ↗
Str: 4Inf: 1
Székesfehérvár ↗
Str: 1Inf: 1
Szeged ↗
Str: 1Inf: 1
Miskolc ↗
Str: 1Inf: 1
Debrecen ↗
Str: 1Inf: 1
Pécs ↗
Str: 2Inf: 2
Győr ↗
Str: 2Inf: 2
Zamárdi ↗
Str: 24Inf: 2.67

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

Outbound Tags (7)
Balaton Sound
Debrecen
Győr
Miskolc
Pécs
Székesfehérvár
Szeged
Inbound Posts (7)
Debrecen
Győr
Miskolc
Pécs
Szeged
Székesfehérvár
Balaton Sound
Last calculated: Jun 15, 1:22 PM
Pusztavacs, Pest, Hungary86

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