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Neighborhoods of ChișinăuMălina MareHruscaBuiucanii VechiPoșta VecheBăcioii Noi

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Related Images

Ceucari
Petricani
Visterniceni
Muncești
Ciocana Nouă

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Mălina Mare3.4 km away
  • Thumbnail for Ștefan cel Mare Central Park
    Ștefan cel Mare Central Park3.7 km away
  • Thumbnail for Visterniceni
    Visterniceni3.8 km away
  • 📍
    Moldavian Democratic Republic4.4 km away
  • Thumbnail for Sfatul Țării
    Sfatul Țării4.4 km away

Network Profile

Overall Strength
i
1.75% of network
(192)
Strength Breakdown
  • This Post (1.75%)
  • Buiucanii Vechi (7.02%)
  • Băcioii Noi (1.75%)
  • Hrusca (1.75%)
  • Mălina Mare (1.75%)
  • Poșta Veche (1.75%)
Dominant nodes (excluded from chart)
Neighborhoods of Chișinău 84.21%
Influence Score
i
13.64% of network
(1.33)
Influence Breakdown
  • This Post (13.64%)
  • Neighborhoods of Chișinău (18.18%)
  • Buiucanii Vechi (13.64%)
  • Băcioii Noi (13.64%)
  • Hrusca (13.64%)
  • Mălina Mare (13.64%)
  • Poșta Veche (13.64%)
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 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 48 [Neighborhoods of Chișinău] *
                            4 [Buiucanii Vechi] *
                            1 [Băcioii Noi] *
                            1 [Hrusca] *
                            1 [Mălina Mare] *
                            1 [Poșta Veche]
                           )

                         = 192

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.33 [Neighborhoods of Chișinău] *
                            1 [Buiucanii Vechi] *
                            1 [Băcioii Noi] *
                            1 [Hrusca] *
                            1 [Mălina Mare] *
                            1 [Poșta Veche]
                           )

                         = 1.33
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 6 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.75% (192 overall)
  • This Post (1.75%)
  • Buiucanii Vechi (7.02%)
  • Băcioii Noi (1.75%)
  • Hrusca (1.75%)
  • Mălina Mare (1.75%)
  • Poșta Veche (1.75%)
Dominant nodes (excluded from chart)
Neighborhoods of Chișinău 84.21%
Influence Share (vs Direct Neighbours)
13.64% (1.33 overall)
  • This Post (13.64%)
  • Neighborhoods of Chișinău (18.18%)
  • Buiucanii Vechi (13.64%)
  • Băcioii Noi (13.64%)
  • Hrusca (13.64%)
  • Mălina Mare (13.64%)
  • Poșta Veche (13.64%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Neighborhoods of Chișinău ↗
Str: 48Inf: 1.33
Buiucanii Vechi ↗
Str: 4Inf: 1
Băcioii Noi ↗
Str: 1Inf: 1
Hrusca ↗
Str: 1Inf: 1
Mălina Mare ↗
Str: 1Inf: 1
Poșta Veche ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Poșta Veche ↗
Str: 1Inf: 1
Mălina Mare ↗
Str: 1Inf: 1
Hrusca ↗
Str: 1Inf: 1
Băcioii Noi ↗
Str: 1Inf: 1
Buiucanii Vechi ↗
Str: 4Inf: 1
Neighborhoods of Chișinău ↗
Str: 48Inf: 1.33

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

Outbound Tags (1)
Neighborhoods of Chișinău
Inbound Posts (1)
Neighborhoods of Chișinău
Last calculated: Oct 1, 1:20 AM
22

Related Content

Locations

  • Mălina Mare

Topics

  • Neighborhoods of Chișinău
  • Buiucanii Vechi
  • Băcioii Noi
  • Hrusca
  • Poșta Veche

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