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Méfou-et-Afamba

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Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Afanloum6.3 km away
  • 📍
    Awae7.2 km away
  • 📍
    Edzendouan33.5 km away
  • 📍
    Akonolinga41.2 km away
  • 📍
    Nyong-et-Mfoumou41.4 km away

Network Profile

Overall Strength
i
80.00% of network
(16)
Strength Breakdown
  • This Post (80.00%)
  • Afanloum (5.00%)
  • Awae (5.00%)
  • Edzendouan (5.00%)
  • University of Yaoundé II (5.00%)
Influence Score
i
20.00% of network
(1)
Influence Breakdown
  • This Post (20.00%)
  • Afanloum (20.00%)
  • Awae (20.00%)
  • Edzendouan (20.00%)
  • University of Yaoundé II (20.00%)
Direct Connections 8

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, 4) = 4
$outbound = max(1, 4) = 4

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1

// 3. Exponential Network Values (accumulating 4 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 16 *
                           ( 1 [Afanloum] *
                            1 [Awae] *
                            1 [Edzendouan] *
                            1 [University of Yaoundé II]
                           )

                         = 16

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Afanloum] *
                            1 [Awae] *
                            1 [Edzendouan] *
                            1 [University of Yaoundé II]
                           )

                         = 1
Outbound 4 Tags on post
Inbound 4 Posts tagging this
Connections 4 Total nodes
Base Node Strength 16
Base Node Influence 1
Strength Share (vs Direct Neighbours)
80.00% (16 overall)
  • This Post (80.00%)
  • Afanloum (5.00%)
  • Awae (5.00%)
  • Edzendouan (5.00%)
  • University of Yaoundé II (5.00%)
Influence Share (vs Direct Neighbours)
20.00% (1 overall)
  • This Post (20.00%)
  • Afanloum (20.00%)
  • Awae (20.00%)
  • Edzendouan (20.00%)
  • University of Yaoundé II (20.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Afanloum ↗
Str: 1Inf: 1
Awae ↗
Str: 1Inf: 1
Edzendouan ↗
Str: 1Inf: 1
University of Yaoundé II ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
University of Yaoundé II ↗
Str: 1Inf: 1
Edzendouan ↗
Str: 1Inf: 1
Awae ↗
Str: 1Inf: 1
Afanloum ↗
Str: 1Inf: 1

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

Outbound Tags (4)
Afanloum
Awae
Edzendouan
University of Yaoundé II
Inbound Posts (4)
Afanloum
Awae
Edzendouan
University of Yaoundé II
Last calculated: Jun 14, 12:21 PM
Awaé, Méfou-et-Afamba, Cameroon25

Related Content

Topics

  • Afanloum
  • Awae
  • Edzendouan
  • University of Yaoundé II