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Training Farm, BeerburrumBeerburrum railway stationBeerburrumTraining FarmTobacco farming, Beerburrum

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Beerburrum State School

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Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Beerburrum railway station0.4 km away
  • 📍
    Beerburrum1.5 km away
  • 📍
    Mount Tibrogargan2.7 km away
  • 📍
    Mount Ngungun6.7 km away
  • 📍
    Mount Coonowrin7.5 km away

Network Profile

Overall Strength
i
2.78% of network
(400)
Strength Breakdown
  • This Post (2.78%)
  • Beerburrum (69.44%)
  • Training Farm, Beerburrum (11.11%)
  • Training Farm (11.11%)
  • Beerburrum railway station (2.78%)
  • Tobacco farming, Beerburrum (2.78%)
Influence Score
i
16.67% of network
(1)
Influence Breakdown
  • This Post (16.67%)
  • Training Farm, Beerburrum (16.67%)
  • Beerburrum (16.67%)
  • Training Farm (16.67%)
  • Beerburrum railway station (16.67%)
  • Tobacco farming, Beerburrum (16.67%)
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 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 4 [Training Farm, Beerburrum] *
                            25 [Beerburrum] *
                            4 [Training Farm] *
                            1 [Beerburrum railway station] *
                            1 [Tobacco farming, Beerburrum]
                           )

                         = 400

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Training Farm, Beerburrum] *
                            1 [Beerburrum] *
                            1 [Training Farm] *
                            1 [Beerburrum railway station] *
                            1 [Tobacco farming, Beerburrum]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 5 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
2.78% (400 overall)
  • This Post (2.78%)
  • Beerburrum (69.44%)
  • Training Farm, Beerburrum (11.11%)
  • Training Farm (11.11%)
  • Beerburrum railway station (2.78%)
  • Tobacco farming, Beerburrum (2.78%)
Influence Share (vs Direct Neighbours)
16.67% (1 overall)
  • This Post (16.67%)
  • Training Farm, Beerburrum (16.67%)
  • Beerburrum (16.67%)
  • Training Farm (16.67%)
  • Beerburrum railway station (16.67%)
  • Tobacco farming, Beerburrum (16.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Training Farm, Beerburrum ↗
Str: 4Inf: 1
Beerburrum ↗
Str: 25Inf: 1
Training Farm ↗
Str: 4Inf: 1
Beerburrum railway station ↗
Str: 1Inf: 1
Tobacco farming, Beerburrum ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Tobacco farming, Beerburrum ↗
Str: 1Inf: 1
Beerburrum railway station ↗
Str: 1Inf: 1
Training Farm ↗
Str: 4Inf: 1
Beerburrum ↗
Str: 25Inf: 1
Training Farm, Beerburrum ↗
Str: 4Inf: 1

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

Outbound Tags (1)
Beerburrum
Inbound Posts (1)
Beerburrum
Last calculated: Oct 3, 10:41 PM
Queensland, Australia16

Related Content

Topics

  • Tobacco farming, Beerburrum
  • Training Farm, Beerburrum
  • Beerburrum
  • Training Farm
  • Beerburrum railway station

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