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Margaret GardnerFaculty of RMIT UniversityRMIT University

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Royal Melbourne Institute of Technology

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Related Images

Alumni of RMIT University
Peter Singer
Combing
RMIT Melbourne City campus

Analyzing Network Connections...

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Nearest Locations

  • 📍
    RMIT University0.0 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
78.26% of network
(72)
Strength Breakdown
  • This Post (78.26%)
  • Margaret Gardner (8.70%)
  • RMIT University (8.70%)
  • Faculty of RMIT University (4.35%)
Influence Score
i
36.36% of network
(2)
Influence Breakdown
  • This Post (36.36%)
  • RMIT University (36.36%)
  • Faculty of RMIT University (18.18%)
  • Margaret Gardner (9.09%)
Direct Connections 9

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, 6) = 6
$outbound = max(1, 3) = 3

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 3 = 18
Base_Influence (IV) = $inbound / $outbound = 6 / 3 = 2

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

                         = 72

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

                         = 2
Outbound 6 Tags on post
Inbound 3 Posts tagging this
Connections 3 Total nodes
Base Node Strength 18
Base Node Influence 2
Strength Share (vs Direct Neighbours)
78.26% (72 overall)
  • This Post (78.26%)
  • Margaret Gardner (8.70%)
  • RMIT University (8.70%)
  • Faculty of RMIT University (4.35%)
Influence Share (vs Direct Neighbours)
36.36% (2 overall)
  • This Post (36.36%)
  • RMIT University (36.36%)
  • Faculty of RMIT University (18.18%)
  • Margaret Gardner (9.09%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
RMIT University ↗
Str: 2Inf: 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
RMIT University ↗
Str: 2Inf: 2

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

Outbound Tags (6)
Alumni of RMIT University
BROKEN LINK
Faculty of RMIT University
Margaret Gardner
Peter Singer
BROKEN LINK
RMIT Melbourne City campus
BROKEN LINK
RMIT University
Inbound Posts (3)
Faculty of RMIT University
Margaret Gardner
RMIT University
Last calculated: Sep 27, 1:10 PM
Melbourne, Victoria, Australia18

Related Content

Figures

  • Margaret Gardner

Topics

  • Faculty of RMIT University
  • RMIT University