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ZamárdiTibor Klatsmányi

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Wikimedia movement in Hungary
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Cultural heritage monuments in Zamárdi
Debrecen
Sculptures in Zamárdi
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Analyzing Network Connections...

Network Profile

Overall Strength
i
6.15% of network
(1.6K)
Strength Breakdown
  • This Post (6.15%)
  • Zamárdi (6.15%)
  • Pécs (3.08%)
  • Debrecen (1.54%)
  • Győr (1.54%)
  • Miskolc (1.54%)
  • Szeged (1.54%)
  • Székesfehérvár (1.54%)
  • Tibor Klatsmányi (1.54%)
Dominant nodes (excluded from chart)
Hungary 75.38%
Influence Score
i
9.09% of network
(2)
Influence Breakdown
  • This Post (9.09%)
  • Pécs (18.18%)
  • Hungary (9.09%)
  • Debrecen (9.09%)
  • Győr (9.09%)
  • Miskolc (9.09%)
  • Szeged (9.09%)
  • Székesfehérvár (9.09%)
  • Zamárdi (9.09%)
  • Tibor Klatsmányi (9.09%)
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 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 2 [Pécs] *
                            49 [Hungary] *
                            1 [Debrecen] *
                            1 [Győr] *
                            1 [Miskolc] *
                            1 [Szeged] *
                            1 [Székesfehérvár] *
                            4 [Zamárdi] *
                            1 [Tibor Klatsmányi]
                           )

                         = 1.6K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2 [Pécs] *
                            1 [Hungary] *
                            1 [Debrecen] *
                            1 [Győr] *
                            1 [Miskolc] *
                            1 [Szeged] *
                            1 [Székesfehérvár] *
                            1 [Zamárdi] *
                            1 [Tibor Klatsmányi]
                           )

                         = 2
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 9 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
6.15% (1.6K overall)
  • This Post (6.15%)
  • Zamárdi (6.15%)
  • Pécs (3.08%)
  • Debrecen (1.54%)
  • Győr (1.54%)
  • Miskolc (1.54%)
  • Szeged (1.54%)
  • Székesfehérvár (1.54%)
  • Tibor Klatsmányi (1.54%)
Dominant nodes (excluded from chart)
Hungary 75.38%
Influence Share (vs Direct Neighbours)
9.09% (2 overall)
  • This Post (9.09%)
  • Pécs (18.18%)
  • Hungary (9.09%)
  • Debrecen (9.09%)
  • Győr (9.09%)
  • Miskolc (9.09%)
  • Szeged (9.09%)
  • Székesfehérvár (9.09%)
  • Zamárdi (9.09%)
  • Tibor Klatsmányi (9.09%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Pécs ↗
Str: 2Inf: 2
Hungary ↗
Str: 49Inf: 1
Debrecen ↗
Str: 1Inf: 1
Győr ↗
Str: 1Inf: 1
Miskolc ↗
Str: 1Inf: 1
Szeged ↗
Str: 1Inf: 1
Székesfehérvár ↗
Str: 1Inf: 1
Zamárdi ↗
Str: 4Inf: 1
Tibor Klatsmányi ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Tibor Klatsmányi ↗
Str: 1Inf: 1
Zamárdi ↗
Str: 4Inf: 1
Székesfehérvár ↗
Str: 1Inf: 1
Szeged ↗
Str: 1Inf: 1
Miskolc ↗
Str: 1Inf: 1
Győr ↗
Str: 1Inf: 1
Debrecen ↗
Str: 1Inf: 1
Hungary ↗
Str: 49Inf: 1
Pécs ↗
Str: 2Inf: 2

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

Outbound Tags (2)
Hungary
Zamárdi
Inbound Posts (2)
Hungary
Zamárdi
Last calculated: Sep 5, 6:25 PM
135

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  • Tibor Klatsmányi

Locations

  • Zamárdi

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  • Hungary

Regionals

  • Győr
  • Miskolc
  • Pécs
  • Szeged
  • Székesfehérvár
  • Debrecen