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Bukhara

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Related Images

Andijan
Streets in Bukhara
Urgench
Sports in Bukhara
Jizzakh
Termez
Qarshi
Tashkent
Guliston
20230515_191229.jpg
Water management in Bukhara
Namangan
Fergana
Navoiy
Samarkand
Nukus

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Historic Centre of Bukhara1.9 km away
  • 📍
    Emirate of Bukhara2.4 km away
  • 📍
    Chor Minor2.5 km away
  • Thumbnail for Mir-i-Arab madrasa
    Mir-i-Arab madrasa3.5 km away
  • Thumbnail for Kalyan minaret
    Kalyan minaret3.6 km away

Network Profile

Overall Strength
i
1.63% of network
(507)
Strength Breakdown
  • This Post (1.63%)
  • Andijan (0.54%)
  • Fergana (0.54%)
  • Guliston (0.54%)
  • Jizzakh (0.54%)
  • Namangan (0.54%)
  • Navoiy (0.54%)
  • Nukus (0.54%)
  • Qarshi (0.54%)
  • Samarkand (0.54%)
  • Tashkent (0.54%)
  • Termez (0.54%)
  • Urgench (0.54%)
Dominant nodes (excluded from chart)
Uzbekistan 91.85%
Influence Score
i
18.75% of network
(3)
Influence Breakdown
  • This Post (18.75%)
  • Uzbekistan (6.25%)
  • Andijan (6.25%)
  • Fergana (6.25%)
  • Guliston (6.25%)
  • Jizzakh (6.25%)
  • Namangan (6.25%)
  • Navoiy (6.25%)
  • Nukus (6.25%)
  • Qarshi (6.25%)
  • Samarkand (6.25%)
  • Tashkent (6.25%)
  • Termez (6.25%)
  • Urgench (6.25%)
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, 3) = 3
$outbound = max(1, 1) = 1

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 1 = 3
Base_Influence (IV) = $inbound / $outbound = 3 / 1 = 3

// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 3 *
                           ( 169 [Uzbekistan] *
                            1 [Andijan] *
                            1 [Fergana] *
                            1 [Guliston] *
                            1 [Jizzakh] *
                            1 [Namangan] *
                            1 [Navoiy] *
                            1 [Nukus] *
                            1 [Qarshi] *
                            1 [Samarkand] *
                            1 [Tashkent] *
                            1 [Termez] *
                            1 [Urgench]
                           )

                         = 507

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 3 *
                           ( 1 [Uzbekistan] *
                            1 [Andijan] *
                            1 [Fergana] *
                            1 [Guliston] *
                            1 [Jizzakh] *
                            1 [Namangan] *
                            1 [Navoiy] *
                            1 [Nukus] *
                            1 [Qarshi] *
                            1 [Samarkand] *
                            1 [Tashkent] *
                            1 [Termez] *
                            1 [Urgench]
                           )

                         = 3
Outbound 3 Tags on post
Inbound 1 Posts tagging this
Connections 13 Total nodes
Base Node Strength 3
Base Node Influence 3
Strength Share (vs Direct Neighbours)
1.63% (507 overall)
  • This Post (1.63%)
  • Andijan (0.54%)
  • Fergana (0.54%)
  • Guliston (0.54%)
  • Jizzakh (0.54%)
  • Namangan (0.54%)
  • Navoiy (0.54%)
  • Nukus (0.54%)
  • Qarshi (0.54%)
  • Samarkand (0.54%)
  • Tashkent (0.54%)
  • Termez (0.54%)
  • Urgench (0.54%)
Dominant nodes (excluded from chart)
Uzbekistan 91.85%
Influence Share (vs Direct Neighbours)
18.75% (3 overall)
  • This Post (18.75%)
  • Uzbekistan (6.25%)
  • Andijan (6.25%)
  • Fergana (6.25%)
  • Guliston (6.25%)
  • Jizzakh (6.25%)
  • Namangan (6.25%)
  • Navoiy (6.25%)
  • Nukus (6.25%)
  • Qarshi (6.25%)
  • Samarkand (6.25%)
  • Tashkent (6.25%)
  • Termez (6.25%)
  • Urgench (6.25%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Uzbekistan ↗
Str: 169Inf: 1
Andijan ↗
Str: 1Inf: 1
Fergana ↗
Str: 1Inf: 1
Guliston ↗
Str: 1Inf: 1
Jizzakh ↗
Str: 1Inf: 1
Namangan ↗
Str: 1Inf: 1
Navoiy ↗
Str: 1Inf: 1
Nukus ↗
Str: 1Inf: 1
Qarshi ↗
Str: 1Inf: 1
Samarkand ↗
Str: 1Inf: 1
Tashkent ↗
Str: 1Inf: 1
Termez ↗
Str: 1Inf: 1
Urgench ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Urgench ↗
Str: 1Inf: 1
Termez ↗
Str: 1Inf: 1
Tashkent ↗
Str: 1Inf: 1
Samarkand ↗
Str: 1Inf: 1
Qarshi ↗
Str: 1Inf: 1
Nukus ↗
Str: 1Inf: 1
Navoiy ↗
Str: 1Inf: 1
Namangan ↗
Str: 1Inf: 1
Jizzakh ↗
Str: 1Inf: 1
Guliston ↗
Str: 1Inf: 1
Fergana ↗
Str: 1Inf: 1
Andijan ↗
Str: 1Inf: 1
Uzbekistan ↗
Str: 169Inf: 1

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

Outbound Tags (3)
Sports in Bukhara
BROKEN LINK
uzbekistan
Water management in Bukhara
BROKEN LINK
Inbound Posts (1)
Uzbekistan
Last calculated: Sep 3, 12:35 AM
Bukhara, Bukhara Region, Uzbekistan24

Related Content

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  • Uzbekistan

Regionals

  • Qarshi
  • Andijan
  • Samarkand
  • Fergana
  • Tashkent
  • Guliston
  • Termez
  • Jizzakh
  • Urgench
  • Namangan
  • Navoiy
  • Nukus