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Iran
Lebanon
Abdallah Beyhum
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Kurdistan

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Connected Musicians

  • Brad Boatright

Analyzing Network Connections...

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Nearest Locations

  • Thumbnail for Hakkâri
    Hakkâri141.6 km away
  • 📍
    Assur146.6 km away
  • 📍
    Kavaklı, Hakkari151.6 km away
  • Thumbnail for Hatra
    Hatra175.8 km away
  • Thumbnail for Sinop
    Sinop202.5 km away

Network Profile

Overall Strength
i
2.70% of network
(2.01T)
Strength Breakdown
  • This Post (2.70%)
  • Mashhad (4.80%)
  • Beirut (3.00%)
  • Kermanshah (2.70%)
  • Middle East (1.20%)
  • Tripoli (0.60%)
  • Tehran (0.60%)
  • Baabda (0.30%)
  • Baalbek (0.30%)
  • Halba (0.30%)
  • Nabatiye (0.30%)
  • Sidon (0.30%)
  • Zahleh (0.30%)
  • Abdallah Beyhum (0.30%)
  • Isfahan (0.30%)
Dominant nodes (excluded from chart)
Lebanon 43.24%Brad Boatright 16.82%Iran 14.41%Tabriz 7.51%
Influence Score
i
4.66% of network
(3.81)
Influence Breakdown
  • This Post (4.66%)
  • Beirut (11.64%)
  • Tripoli (9.31%)
  • Iran (6.21%)
  • Brad Boatright (5.32%)
  • Baabda (4.66%)
  • Baalbek (4.66%)
  • Halba (4.66%)
  • Nabatiye (4.66%)
  • Sidon (4.66%)
  • Zahleh (4.66%)
  • Lebanon (4.66%)
  • Middle East (4.66%)
  • Abdallah Beyhum (4.66%)
  • Isfahan (4.66%)
  • Kermanshah (4.66%)
  • Mashhad (4.66%)
  • Tabriz (4.66%)
  • Tehran (2.33%)
Direct Connections 6

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, 3) = 3

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1

// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 10 [Beirut] *
                            2 [Tripoli] *
                            48 [Iran] *
                            56 [Brad Boatright] *
                            1 [Baabda] *
                            1 [Baalbek] *
                            1 [Halba] *
                            1 [Nabatiye] *
                            1 [Sidon] *
                            1 [Zahleh] *
                            144 [Lebanon] *
                            4 [Middle East] *
                            1 [Abdallah Beyhum] *
                            1 [Isfahan] *
                            9 [Kermanshah] *
                            16 [Mashhad] *
                            25 [Tabriz] *
                            2 [Tehran]
                           )

                         = 2.01T

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2.5 [Beirut] *
                            2 [Tripoli] *
                            1.33 [Iran] *
                            1.14 [Brad Boatright] *
                            1 [Baabda] *
                            1 [Baalbek] *
                            1 [Halba] *
                            1 [Nabatiye] *
                            1 [Sidon] *
                            1 [Zahleh] *
                            1 [Lebanon] *
                            1 [Middle East] *
                            1 [Abdallah Beyhum] *
                            1 [Isfahan] *
                            1 [Kermanshah] *
                            1 [Mashhad] *
                            1 [Tabriz] *
                            0.5 [Tehran]
                           )

                         = 3.81
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 18 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
2.70% (2.01T overall)
  • This Post (2.70%)
  • Mashhad (4.80%)
  • Beirut (3.00%)
  • Kermanshah (2.70%)
  • Middle East (1.20%)
  • Tripoli (0.60%)
  • Tehran (0.60%)
  • Baabda (0.30%)
  • Baalbek (0.30%)
  • Halba (0.30%)
  • Nabatiye (0.30%)
  • Sidon (0.30%)
  • Zahleh (0.30%)
  • Abdallah Beyhum (0.30%)
  • Isfahan (0.30%)
Dominant nodes (excluded from chart)
Lebanon 43.24%Brad Boatright 16.82%Iran 14.41%Tabriz 7.51%
Influence Share (vs Direct Neighbours)
4.66% (3.81 overall)
  • This Post (4.66%)
  • Beirut (11.64%)
  • Tripoli (9.31%)
  • Iran (6.21%)
  • Brad Boatright (5.32%)
  • Baabda (4.66%)
  • Baalbek (4.66%)
  • Halba (4.66%)
  • Nabatiye (4.66%)
  • Sidon (4.66%)
  • Zahleh (4.66%)
  • Lebanon (4.66%)
  • Middle East (4.66%)
  • Abdallah Beyhum (4.66%)
  • Isfahan (4.66%)
  • Kermanshah (4.66%)
  • Mashhad (4.66%)
  • Tabriz (4.66%)
  • Tehran (2.33%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Beirut ↗
Str: 10Inf: 2.5
Tripoli ↗
Str: 2Inf: 2
Iran ↗
Str: 48Inf: 1.33
Brad Boatright ↗
Str: 56Inf: 1.14
Baabda ↗
Str: 1Inf: 1
Baalbek ↗
Str: 1Inf: 1
Halba ↗
Str: 1Inf: 1
Nabatiye ↗
Str: 1Inf: 1
Sidon ↗
Str: 1Inf: 1
Zahleh ↗
Str: 1Inf: 1
Lebanon ↗
Str: 144Inf: 1
Middle East ↗
Str: 4Inf: 1
Abdallah Beyhum ↗
Str: 1Inf: 1
Isfahan ↗
Str: 1Inf: 1
Kermanshah ↗
Str: 9Inf: 1
Mashhad ↗
Str: 16Inf: 1
Tabriz ↗
Str: 25Inf: 1
Tehran ↗
Str: 2Inf: 0.5
Weakest Connections (Lowest Multipliers)
Tehran ↗
Str: 2Inf: 0.5
Tabriz ↗
Str: 25Inf: 1
Mashhad ↗
Str: 16Inf: 1
Kermanshah ↗
Str: 9Inf: 1
Isfahan ↗
Str: 1Inf: 1
Abdallah Beyhum ↗
Str: 1Inf: 1
Middle East ↗
Str: 4Inf: 1
Lebanon ↗
Str: 144Inf: 1
Zahleh ↗
Str: 1Inf: 1
Sidon ↗
Str: 1Inf: 1
Nabatiye ↗
Str: 1Inf: 1
Halba ↗
Str: 1Inf: 1
Baalbek ↗
Str: 1Inf: 1
Baabda ↗
Str: 1Inf: 1
Brad Boatright ↗
Str: 56Inf: 1.14
Iran ↗
Str: 48Inf: 1.33
Tripoli ↗
Str: 2Inf: 2
Beirut ↗
Str: 10Inf: 2.5

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

Outbound Tags (3)
Iran
Lebanon
Middle East
Inbound Posts (3)
Iran
Lebanon
Middle East
Last calculated: Jul 28, 4:00 AM
Erbil Governorate, Iraq39

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