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Saudi Arabia
Riyadh
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Abha

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Related Images

Al Bahah
Madinah
Dammam
Buraidah
Roads of Abha, Saudi Arabia
Abha
Najran
Arar
Mecca
Tourism in Saudi Arabia
Riyadh
Jizan
Mountains of Abha, Saudi Arabia
Tabuk
Sakakah

Analyzing Network Connections...

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Nearest Locations

  • 📍
    Needles80.9 km away
  • 📍
    San Bernardino County81.2 km away
  • 📍
    Joshua Tree National Park92.5 km away
  • 📍
    Chemehuevi Reservation95.9 km away
  • 📍
    Desert Studies Center96.1 km away

Network Profile

Overall Strength
i
0.39% of network
(7.2K)
Strength Breakdown
  • This Post (0.39%)
  • Abha (0.78%)
  • Al Bahah (0.39%)
  • Arar (0.39%)
  • Buraidah (0.39%)
  • Jizan (0.39%)
  • Madinah (0.39%)
  • Mecca (0.39%)
  • Najran (0.39%)
  • Riyadh (0.39%)
  • Sakakah (0.39%)
  • Tabuk (0.39%)
  • Khalid Abdulrahman (0.39%)
  • Rayyanah Barnawi (0.39%)
Dominant nodes (excluded from chart)
Saudi Arabia 87.89%Dammam 6.25%
Influence Score
i
5.88% of network
(2)
Influence Breakdown
  • This Post (5.88%)
  • Abha (11.76%)
  • Saudi Arabia (5.88%)
  • Al Bahah (5.88%)
  • Arar (5.88%)
  • Buraidah (5.88%)
  • Dammam (5.88%)
  • Jizan (5.88%)
  • Madinah (5.88%)
  • Mecca (5.88%)
  • Najran (5.88%)
  • Riyadh (5.88%)
  • Sakakah (5.88%)
  • Tabuk (5.88%)
  • Khalid Abdulrahman (5.88%)
  • Rayyanah Barnawi (5.88%)
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 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 2 [Abha] *
                            225 [Saudi Arabia] *
                            1 [Al Bahah] *
                            1 [Arar] *
                            1 [Buraidah] *
                            16 [Dammam] *
                            1 [Jizan] *
                            1 [Madinah] *
                            1 [Mecca] *
                            1 [Najran] *
                            1 [Riyadh] *
                            1 [Sakakah] *
                            1 [Tabuk] *
                            1 [Khalid Abdulrahman] *
                            1 [Rayyanah Barnawi]
                           )

                         = 7.2K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2 [Abha] *
                            1 [Saudi Arabia] *
                            1 [Al Bahah] *
                            1 [Arar] *
                            1 [Buraidah] *
                            1 [Dammam] *
                            1 [Jizan] *
                            1 [Madinah] *
                            1 [Mecca] *
                            1 [Najran] *
                            1 [Riyadh] *
                            1 [Sakakah] *
                            1 [Tabuk] *
                            1 [Khalid Abdulrahman] *
                            1 [Rayyanah Barnawi]
                           )

                         = 2
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 15 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.39% (7.2K overall)
  • This Post (0.39%)
  • Abha (0.78%)
  • Al Bahah (0.39%)
  • Arar (0.39%)
  • Buraidah (0.39%)
  • Jizan (0.39%)
  • Madinah (0.39%)
  • Mecca (0.39%)
  • Najran (0.39%)
  • Riyadh (0.39%)
  • Sakakah (0.39%)
  • Tabuk (0.39%)
  • Khalid Abdulrahman (0.39%)
  • Rayyanah Barnawi (0.39%)
Dominant nodes (excluded from chart)
Saudi Arabia 87.89%Dammam 6.25%
Influence Share (vs Direct Neighbours)
5.88% (2 overall)
  • This Post (5.88%)
  • Abha (11.76%)
  • Saudi Arabia (5.88%)
  • Al Bahah (5.88%)
  • Arar (5.88%)
  • Buraidah (5.88%)
  • Dammam (5.88%)
  • Jizan (5.88%)
  • Madinah (5.88%)
  • Mecca (5.88%)
  • Najran (5.88%)
  • Riyadh (5.88%)
  • Sakakah (5.88%)
  • Tabuk (5.88%)
  • Khalid Abdulrahman (5.88%)
  • Rayyanah Barnawi (5.88%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Abha ↗
Str: 2Inf: 2
Saudi Arabia ↗
Str: 225Inf: 1
Al Bahah ↗
Str: 1Inf: 1
Arar ↗
Str: 1Inf: 1
Buraidah ↗
Str: 1Inf: 1
Dammam ↗
Str: 16Inf: 1
Jizan ↗
Str: 1Inf: 1
Madinah ↗
Str: 1Inf: 1
Mecca ↗
Str: 1Inf: 1
Najran ↗
Str: 1Inf: 1
Riyadh ↗
Str: 1Inf: 1
Sakakah ↗
Str: 1Inf: 1
Tabuk ↗
Str: 1Inf: 1
Khalid Abdulrahman ↗
Str: 1Inf: 1
Rayyanah Barnawi ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Rayyanah Barnawi ↗
Str: 1Inf: 1
Khalid Abdulrahman ↗
Str: 1Inf: 1
Tabuk ↗
Str: 1Inf: 1
Sakakah ↗
Str: 1Inf: 1
Riyadh ↗
Str: 1Inf: 1
Najran ↗
Str: 1Inf: 1
Mecca ↗
Str: 1Inf: 1
Madinah ↗
Str: 1Inf: 1
Jizan ↗
Str: 1Inf: 1
Dammam ↗
Str: 16Inf: 1
Buraidah ↗
Str: 1Inf: 1
Arar ↗
Str: 1Inf: 1
Al Bahah ↗
Str: 1Inf: 1
Saudi Arabia ↗
Str: 225Inf: 1
Abha ↗
Str: 2Inf: 2

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

Outbound Tags (1)
Saudi Arabia
Inbound Posts (1)
Saudi Arabia
Last calculated: Jun 12, 7:45 PM
San Bernardino County, United States27

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Figures

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Nations

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Regionals

  • Buraidah
  • Tabuk
  • Dammam
  • Jizan
  • Madinah
  • Mecca
  • Abha
  • Najran
  • Al Bahah
  • Riyadh
  • Arar
  • Sakakah