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Related Images

Constanța
Argeș
Giurgiu
Brăila
Arad
Bucharest
Tulcea
Dâmbovița
Galați
Cluj

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Iedera68.6 km away
  • 📍
    Prahova69.4 km away
  • 📍
    Adi Neagoe81.4 km away
  • Thumbnail for Dâmbovița
    Dâmbovița85.1 km away
  • Thumbnail for Argeș
    Argeș94.6 km away

Network Profile

Overall Strength
i
0.53% of network
(2K)
Strength Breakdown
  • This Post (0.53%)
  • Bucharest (3.19%)
  • Argeș (1.06%)
  • Arad (0.53%)
  • Brăila (0.53%)
  • Cluj (0.53%)
  • Constanța (0.53%)
  • Dâmbovița (0.53%)
  • Galați (0.53%)
  • Giurgiu (0.53%)
  • Prahova (0.53%)
  • Sălaj (0.53%)
  • Tulcea (0.53%)
Dominant nodes (excluded from chart)
Romania 89.89%
Influence Score
i
6.82% of network
(1.33)
Influence Breakdown
  • This Post (6.82%)
  • Argeș (13.64%)
  • Romania (6.82%)
  • Arad (6.82%)
  • Brăila (6.82%)
  • Cluj (6.82%)
  • Constanța (6.82%)
  • Dâmbovița (6.82%)
  • Galați (6.82%)
  • Giurgiu (6.82%)
  • Prahova (6.82%)
  • Sălaj (6.82%)
  • Tulcea (6.82%)
  • Bucharest (4.55%)
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 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 2 [Argeș] *
                            169 [Romania] *
                            1 [Arad] *
                            1 [Brăila] *
                            1 [Cluj] *
                            1 [Constanța] *
                            1 [Dâmbovița] *
                            1 [Galați] *
                            1 [Giurgiu] *
                            1 [Prahova] *
                            1 [Sălaj] *
                            1 [Tulcea] *
                            6 [Bucharest]
                           )

                         = 2K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2 [Argeș] *
                            1 [Romania] *
                            1 [Arad] *
                            1 [Brăila] *
                            1 [Cluj] *
                            1 [Constanța] *
                            1 [Dâmbovița] *
                            1 [Galați] *
                            1 [Giurgiu] *
                            1 [Prahova] *
                            1 [Sălaj] *
                            1 [Tulcea] *
                            0.6667 [Bucharest]
                           )

                         = 1.33
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 13 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.53% (2K overall)
  • This Post (0.53%)
  • Bucharest (3.19%)
  • Argeș (1.06%)
  • Arad (0.53%)
  • Brăila (0.53%)
  • Cluj (0.53%)
  • Constanța (0.53%)
  • Dâmbovița (0.53%)
  • Galați (0.53%)
  • Giurgiu (0.53%)
  • Prahova (0.53%)
  • Sălaj (0.53%)
  • Tulcea (0.53%)
Dominant nodes (excluded from chart)
Romania 89.89%
Influence Share (vs Direct Neighbours)
6.82% (1.33 overall)
  • This Post (6.82%)
  • Argeș (13.64%)
  • Romania (6.82%)
  • Arad (6.82%)
  • Brăila (6.82%)
  • Cluj (6.82%)
  • Constanța (6.82%)
  • Dâmbovița (6.82%)
  • Galați (6.82%)
  • Giurgiu (6.82%)
  • Prahova (6.82%)
  • Sălaj (6.82%)
  • Tulcea (6.82%)
  • Bucharest (4.55%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Argeș ↗
Str: 2Inf: 2
Romania ↗
Str: 169Inf: 1
Arad ↗
Str: 1Inf: 1
Brăila ↗
Str: 1Inf: 1
Cluj ↗
Str: 1Inf: 1
Constanța ↗
Str: 1Inf: 1
Dâmbovița ↗
Str: 1Inf: 1
Galați ↗
Str: 1Inf: 1
Giurgiu ↗
Str: 1Inf: 1
Prahova ↗
Str: 1Inf: 1
Sălaj ↗
Str: 1Inf: 1
Tulcea ↗
Str: 1Inf: 1
Bucharest ↗
Str: 6Inf: 0.6667
Weakest Connections (Lowest Multipliers)
Bucharest ↗
Str: 6Inf: 0.6667
Tulcea ↗
Str: 1Inf: 1
Sălaj ↗
Str: 1Inf: 1
Prahova ↗
Str: 1Inf: 1
Giurgiu ↗
Str: 1Inf: 1
Galați ↗
Str: 1Inf: 1
Dâmbovița ↗
Str: 1Inf: 1
Constanța ↗
Str: 1Inf: 1
Cluj ↗
Str: 1Inf: 1
Brăila ↗
Str: 1Inf: 1
Arad ↗
Str: 1Inf: 1
Romania ↗
Str: 169Inf: 1
Argeș ↗
Str: 2Inf: 2

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

Outbound Tags (1)
romania
Inbound Posts (1)
Romania
Last calculated: Jun 11, 12:52 PM
Brasov, Brașov, Romania26

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