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Bucharest

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Analyzing Network Connections...

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Nearest Locations

  • 📍
    București0.0 km away
  • 📍
    Institute of Mathematics of the Romanian Academy4.9 km away
  • 📍
    Romanian Academy5.2 km away
  • 📍
    Saints Constantine and Helena church9.2 km away
  • Thumbnail for Giurgiu
    Giurgiu56.4 km away

Network Profile

Overall Strength
i
1.69% of network
(669.2K)
Strength Breakdown
  • This Post (1.69%)
  • București (0.56%)
  • Argeș (0.56%)
  • Arad (0.28%)
  • Brăila (0.28%)
  • Brașov (0.28%)
  • Cluj (0.28%)
  • Constanța (0.28%)
  • Dâmbovița (0.28%)
  • Galați (0.28%)
  • Giurgiu (0.28%)
  • Prahova (0.28%)
  • Sălaj (0.28%)
  • Tulcea (0.28%)
Dominant nodes (excluded from chart)
Romania 47.61%Royal Palace 46.48%
Influence Score
i
3.70% of network
(3.64)
Influence Breakdown
  • This Post (3.70%)
  • București (11.09%)
  • Argeș (11.09%)
  • Royal Palace (7.56%)
  • Romania (5.55%)
  • Arad (5.55%)
  • Brăila (5.55%)
  • Brașov (5.55%)
  • Cluj (5.55%)
  • Constanța (5.55%)
  • Dâmbovița (5.55%)
  • Galați (5.55%)
  • Giurgiu (5.55%)
  • Prahova (5.55%)
  • Sălaj (5.55%)
  • Tulcea (5.55%)
Direct Connections 5

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, 3) = 3

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 3 = 6
Base_Influence (IV) = $inbound / $outbound = 2 / 3 = 0.6667

// 3. Exponential Network Values (accumulating 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 6 *
                           ( 2 [București] *
                            2 [Argeș] *
                            165 [Royal Palace] *
                            169 [Romania] *
                            1 [Arad] *
                            1 [Brăila] *
                            1 [Brașov] *
                            1 [Cluj] *
                            1 [Constanța] *
                            1 [Dâmbovița] *
                            1 [Galați] *
                            1 [Giurgiu] *
                            1 [Prahova] *
                            1 [Sălaj] *
                            1 [Tulcea]
                           )

                         = 669.2K

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

                         = 3.64
Outbound 2 Tags on post
Inbound 3 Posts tagging this
Connections 15 Total nodes
Base Node Strength 6
Base Node Influence 0.6667
Strength Share (vs Direct Neighbours)
1.69% (669.2K overall)
  • This Post (1.69%)
  • București (0.56%)
  • Argeș (0.56%)
  • Arad (0.28%)
  • Brăila (0.28%)
  • Brașov (0.28%)
  • Cluj (0.28%)
  • Constanța (0.28%)
  • Dâmbovița (0.28%)
  • Galați (0.28%)
  • Giurgiu (0.28%)
  • Prahova (0.28%)
  • Sălaj (0.28%)
  • Tulcea (0.28%)
Dominant nodes (excluded from chart)
Romania 47.61%Royal Palace 46.48%
Influence Share (vs Direct Neighbours)
3.70% (3.64 overall)
  • This Post (3.70%)
  • București (11.09%)
  • Argeș (11.09%)
  • Royal Palace (7.56%)
  • Romania (5.55%)
  • Arad (5.55%)
  • Brăila (5.55%)
  • Brașov (5.55%)
  • Cluj (5.55%)
  • Constanța (5.55%)
  • Dâmbovița (5.55%)
  • Galați (5.55%)
  • Giurgiu (5.55%)
  • Prahova (5.55%)
  • Sălaj (5.55%)
  • Tulcea (5.55%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
București ↗
Str: 2Inf: 2
Argeș ↗
Str: 2Inf: 2
Royal Palace ↗
Str: 165Inf: 1.36
Romania ↗
Str: 169Inf: 1
Arad ↗
Str: 1Inf: 1
Brăila ↗
Str: 1Inf: 1
Brașov ↗
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
Weakest Connections (Lowest Multipliers)
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
Brașov ↗
Str: 1Inf: 1
Brăila ↗
Str: 1Inf: 1
Arad ↗
Str: 1Inf: 1
Romania ↗
Str: 169Inf: 1
Royal Palace ↗
Str: 165Inf: 1.36
Argeș ↗
Str: 2Inf: 2
București ↗
Str: 2Inf: 2

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

Outbound Tags (2)
București
romania
Inbound Posts (3)
Romania
București
Royal Palace
BROKEN LINK
Last calculated: Jul 5, 2:00 PM
47

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Locations

  • București
  • Royal Palace

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  • Romania

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  • Cluj
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