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Margaret GardnerFaculty of RMIT UniversityRoyal Melbourne Institute of Technology

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RMIT University

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Related Images

RMIT Melbourne City campus
Alumni of RMIT University
Peter Singer

Analyzing Network Connections...

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Nearest Locations

  • 📍
    Royal Melbourne Institute of Technology0.0 km away
  • 📍
    City of Melbourne0.6 km away
  • 📍
    Council House 20.8 km away
  • Thumbnail for Australian Centre for the Moving Image
    Australian Centre for the Moving Image1.2 km away
  • 📍
    Melu1.2 km away

Network Profile

Overall Strength
i
8.70% of network
(72)
Strength Breakdown
  • This Post (8.70%)
  • Royal Melbourne Institute of Technology (78.26%)
  • Margaret Gardner (8.70%)
  • Faculty of RMIT University (4.35%)
Influence Score
i
36.36% of network
(2)
Influence Breakdown
  • This Post (36.36%)
  • Royal Melbourne Institute of Technology (36.36%)
  • Faculty of RMIT University (18.18%)
  • Margaret Gardner (9.09%)
Direct Connections 3

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, 2) = 2
$outbound = max(1, 1) = 1

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

// 3. Exponential Network Values (accumulating 3 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 2 *
                           ( 18 [Royal Melbourne Institute of Technology] *
                            1 [Faculty of RMIT University] *
                            2 [Margaret Gardner]
                           )

                         = 72

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 2 *
                           ( 2 [Royal Melbourne Institute of Technology] *
                            1 [Faculty of RMIT University] *
                            0.5 [Margaret Gardner]
                           )

                         = 2
Outbound 2 Tags on post
Inbound 1 Posts tagging this
Connections 3 Total nodes
Base Node Strength 2
Base Node Influence 2
Strength Share (vs Direct Neighbours)
8.70% (72 overall)
  • This Post (8.70%)
  • Royal Melbourne Institute of Technology (78.26%)
  • Margaret Gardner (8.70%)
  • Faculty of RMIT University (4.35%)
Influence Share (vs Direct Neighbours)
36.36% (2 overall)
  • This Post (36.36%)
  • Royal Melbourne Institute of Technology (36.36%)
  • Faculty of RMIT University (18.18%)
  • Margaret Gardner (9.09%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Royal Melbourne Institute of Technology ↗
Str: 18Inf: 2
Faculty of RMIT University ↗
Str: 1Inf: 1
Margaret Gardner ↗
Str: 2Inf: 0.5
Weakest Connections (Lowest Multipliers)
Margaret Gardner ↗
Str: 2Inf: 0.5
Faculty of RMIT University ↗
Str: 1Inf: 1
Royal Melbourne Institute of Technology ↗
Str: 18Inf: 2

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

Outbound Tags (2)
Margaret Gardner
BROKEN LINK
Royal Melbourne Institute of Technology
Inbound Posts (1)
Royal Melbourne Institute of Technology
Last calculated: Jun 26, 1:36 PM
Melbourne, Victoria, Australia17

Related Content

Figures

  • Margaret Gardner

Locations

  • Royal Melbourne Institute of Technology

Topics

  • Faculty of RMIT University