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Related Images

Oshakati
Otjiwarongo
Opuwo
Keetmanshoop
Environment of Namibia
Windhoek
Gobabis
Outapi
Rundu
Mariental
Objects in Namibia
Katima Mulilo
Eenhana
South-West Africa Territorial Force

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • Thumbnail for Eenhana
    Eenhana101.5 km away
  • Thumbnail for Oshakati
    Oshakati113.3 km away
  • 📍
    Cunene192.9 km away
  • Thumbnail for Outapi
    Outapi193.7 km away
  • 📍
    Nkurenkuru229.1 km away

Network Profile

Overall Strength
i
0.34% of network
(15K)
Strength Breakdown
  • This Post (0.34%)
  • Swakopmund (0.34%)
  • Eenhana (0.34%)
  • Gobabis (0.34%)
  • Katima Mulilo (0.34%)
  • Keetmanshoop (0.34%)
  • Mariental (0.34%)
  • Nkurenkuru (0.34%)
  • Opuwo (0.34%)
  • Oshakati (0.34%)
  • Otjiwarongo (0.34%)
  • Outapi (0.34%)
  • Rundu (0.34%)
Dominant nodes (excluded from chart)
Namibia 70.99%Windhoek 24.57%
Influence Score
i
6.61% of network
(1.09)
Influence Breakdown
  • This Post (6.61%)
  • Namibia (8.14%)
  • Swakopmund (6.61%)
  • Eenhana (6.61%)
  • Gobabis (6.61%)
  • Katima Mulilo (6.61%)
  • Keetmanshoop (6.61%)
  • Mariental (6.61%)
  • Nkurenkuru (6.61%)
  • Opuwo (6.61%)
  • Oshakati (6.61%)
  • Otjiwarongo (6.61%)
  • Outapi (6.61%)
  • Rundu (6.61%)
  • Windhoek (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 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 208 [Namibia] *
                            1 [Swakopmund] *
                            1 [Eenhana] *
                            1 [Gobabis] *
                            1 [Katima Mulilo] *
                            1 [Keetmanshoop] *
                            1 [Mariental] *
                            1 [Nkurenkuru] *
                            1 [Opuwo] *
                            1 [Oshakati] *
                            1 [Otjiwarongo] *
                            1 [Outapi] *
                            1 [Rundu] *
                            72 [Windhoek]
                           )

                         = 15K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.23 [Namibia] *
                            1 [Swakopmund] *
                            1 [Eenhana] *
                            1 [Gobabis] *
                            1 [Katima Mulilo] *
                            1 [Keetmanshoop] *
                            1 [Mariental] *
                            1 [Nkurenkuru] *
                            1 [Opuwo] *
                            1 [Oshakati] *
                            1 [Otjiwarongo] *
                            1 [Outapi] *
                            1 [Rundu] *
                            0.8889 [Windhoek]
                           )

                         = 1.09
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 14 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.34% (15K overall)
  • This Post (0.34%)
  • Swakopmund (0.34%)
  • Eenhana (0.34%)
  • Gobabis (0.34%)
  • Katima Mulilo (0.34%)
  • Keetmanshoop (0.34%)
  • Mariental (0.34%)
  • Nkurenkuru (0.34%)
  • Opuwo (0.34%)
  • Oshakati (0.34%)
  • Otjiwarongo (0.34%)
  • Outapi (0.34%)
  • Rundu (0.34%)
Dominant nodes (excluded from chart)
Namibia 70.99%Windhoek 24.57%
Influence Share (vs Direct Neighbours)
6.61% (1.09 overall)
  • This Post (6.61%)
  • Namibia (8.14%)
  • Swakopmund (6.61%)
  • Eenhana (6.61%)
  • Gobabis (6.61%)
  • Katima Mulilo (6.61%)
  • Keetmanshoop (6.61%)
  • Mariental (6.61%)
  • Nkurenkuru (6.61%)
  • Opuwo (6.61%)
  • Oshakati (6.61%)
  • Otjiwarongo (6.61%)
  • Outapi (6.61%)
  • Rundu (6.61%)
  • Windhoek (5.88%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Namibia ↗
Str: 208Inf: 1.23
Swakopmund ↗
Str: 1Inf: 1
Eenhana ↗
Str: 1Inf: 1
Gobabis ↗
Str: 1Inf: 1
Katima Mulilo ↗
Str: 1Inf: 1
Keetmanshoop ↗
Str: 1Inf: 1
Mariental ↗
Str: 1Inf: 1
Nkurenkuru ↗
Str: 1Inf: 1
Opuwo ↗
Str: 1Inf: 1
Oshakati ↗
Str: 1Inf: 1
Otjiwarongo ↗
Str: 1Inf: 1
Outapi ↗
Str: 1Inf: 1
Rundu ↗
Str: 1Inf: 1
Windhoek ↗
Str: 72Inf: 0.8889
Weakest Connections (Lowest Multipliers)
Windhoek ↗
Str: 72Inf: 0.8889
Rundu ↗
Str: 1Inf: 1
Outapi ↗
Str: 1Inf: 1
Otjiwarongo ↗
Str: 1Inf: 1
Oshakati ↗
Str: 1Inf: 1
Opuwo ↗
Str: 1Inf: 1
Nkurenkuru ↗
Str: 1Inf: 1
Mariental ↗
Str: 1Inf: 1
Keetmanshoop ↗
Str: 1Inf: 1
Katima Mulilo ↗
Str: 1Inf: 1
Gobabis ↗
Str: 1Inf: 1
Eenhana ↗
Str: 1Inf: 1
Swakopmund ↗
Str: 1Inf: 1
Namibia ↗
Str: 208Inf: 1.23

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

Outbound Tags (1)
Namibia
BROKEN LINK
Inbound Posts (1)
No other posts link to this one yet.
Last calculated: Sep 3, 10:14 AM
Omuthiya, Namibia26

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  • Rundu
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  • Windhoek
  • Mariental
  • Nkurenkuru