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South Africa
Julius Wernher
Kimberley
Long Cecil

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Siege of Kimberley

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Related Images

Northern Cape Provincial Legislature
Alfred Martin Duggan-Cronin
Honoured Dead Memorial
Big Hole mine
Kimberley

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Long Cecil1.5 km away
  • Thumbnail for Honoured Dead Memorial
    Honoured Dead Memorial1.5 km away
  • Thumbnail for Kimberley
    Kimberley29.1 km away
  • Thumbnail for South Africa
    South Africa133.1 km away
  • 📍
    University of the Free State143.3 km away

Network Profile

Overall Strength
i
3.73% of network
(7.8K)
Strength Breakdown
  • This Post (3.73%)
  • Kimberley (5.59%)
  • Julius Wernher (0.62%)
  • Long Cecil (0.62%)
Dominant nodes (excluded from chart)
South Africa 89.44%
Influence Score
i
27.27% of network
(1.5)
Influence Breakdown
  • This Post (27.27%)
  • South Africa (18.18%)
  • Kimberley (18.18%)
  • Julius Wernher (18.18%)
  • Long Cecil (18.18%)
Direct Connections 5

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, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5

// 3. Exponential Network Values (accumulating 4 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 6 *
                           ( 144 [South Africa] *
                            9 [Kimberley] *
                            1 [Julius Wernher] *
                            1 [Long Cecil]
                           )

                         = 7.8K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1.5 *
                           ( 1 [South Africa] *
                            1 [Kimberley] *
                            1 [Julius Wernher] *
                            1 [Long Cecil]
                           )

                         = 1.5
Outbound 3 Tags on post
Inbound 2 Posts tagging this
Connections 4 Total nodes
Base Node Strength 6
Base Node Influence 1.5
Strength Share (vs Direct Neighbours)
3.73% (7.8K overall)
  • This Post (3.73%)
  • Kimberley (5.59%)
  • Julius Wernher (0.62%)
  • Long Cecil (0.62%)
Dominant nodes (excluded from chart)
South Africa 89.44%
Influence Share (vs Direct Neighbours)
27.27% (1.5 overall)
  • This Post (27.27%)
  • South Africa (18.18%)
  • Kimberley (18.18%)
  • Julius Wernher (18.18%)
  • Long Cecil (18.18%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
South Africa ↗
Str: 144Inf: 1
Kimberley ↗
Str: 9Inf: 1
Julius Wernher ↗
Str: 1Inf: 1
Long Cecil ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Long Cecil ↗
Str: 1Inf: 1
Julius Wernher ↗
Str: 1Inf: 1
Kimberley ↗
Str: 9Inf: 1
South Africa ↗
Str: 144Inf: 1

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

Outbound Tags (3)
Honoured Dead Memorial
BROKEN LINK
Kimberley
Long Cecil
Inbound Posts (2)
Kimberley
Long Cecil
Last calculated: Sep 28, 8:31 AM
Sol Plaatje Local Municipality, Frances Baard District Municipality, South Africa32

Related Content

Figures

  • Julius Wernher

Locations

  • South Africa
  • Long Cecil

Regionals

  • Kimberley