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Analyzing Network Connections...

Loading Map...

Nearest Locations

  • Thumbnail for Wyoming, New South Wales
    Wyoming, New South Wales6.0 km away
  • 📍
    Green Point, New South Wales6.8 km away
  • Thumbnail for City of Gosford
    City of Gosford7.8 km away
  • 📍
    Lisarow8.7 km away
  • Thumbnail for Lisarow, New South Wales
    Lisarow, New South Wales8.7 km away

Network Profile

Overall Strength
i
0.98% of network
(96)
Strength Breakdown
  • This Post (0.98%)
  • Kindergarten (0.98%)
  • Child safety (0.98%)
  • Marie Hilton (0.98%)
  • Pharmaceutical products for children (0.98%)
  • Punishment of children (0.98%)
Dominant nodes (excluded from chart)
Child Care 94.12%
Influence Score
i
11.54% of network
(2.67)
Influence Breakdown
  • This Post (11.54%)
  • Child Care (30.77%)
  • Kindergarten (11.54%)
  • Child safety (11.54%)
  • Marie Hilton (11.54%)
  • Pharmaceutical products for children (11.54%)
  • Punishment of children (11.54%)
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 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 96 [Child Care] *
                            1 [Kindergarten] *
                            1 [Child safety] *
                            1 [Marie Hilton] *
                            1 [Pharmaceutical products for children] *
                            1 [Punishment of children]
                           )

                         = 96

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2.67 [Child Care] *
                            1 [Kindergarten] *
                            1 [Child safety] *
                            1 [Marie Hilton] *
                            1 [Pharmaceutical products for children] *
                            1 [Punishment of children]
                           )

                         = 2.67
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 6 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.98% (96 overall)
  • This Post (0.98%)
  • Kindergarten (0.98%)
  • Child safety (0.98%)
  • Marie Hilton (0.98%)
  • Pharmaceutical products for children (0.98%)
  • Punishment of children (0.98%)
Dominant nodes (excluded from chart)
Child Care 94.12%
Influence Share (vs Direct Neighbours)
11.54% (2.67 overall)
  • This Post (11.54%)
  • Child Care (30.77%)
  • Kindergarten (11.54%)
  • Child safety (11.54%)
  • Marie Hilton (11.54%)
  • Pharmaceutical products for children (11.54%)
  • Punishment of children (11.54%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Child Care ↗
Str: 96Inf: 2.67
Kindergarten ↗
Str: 1Inf: 1
Child safety ↗
Str: 1Inf: 1
Marie Hilton ↗
Str: 1Inf: 1
Pharmaceutical products for children ↗
Str: 1Inf: 1
Punishment of children ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Punishment of children ↗
Str: 1Inf: 1
Pharmaceutical products for children ↗
Str: 1Inf: 1
Marie Hilton ↗
Str: 1Inf: 1
Child safety ↗
Str: 1Inf: 1
Kindergarten ↗
Str: 1Inf: 1
Child Care ↗
Str: 96Inf: 2.67

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

Outbound Tags (1)
Child Care
Inbound Posts (1)
Child Care
Last calculated: Sep 18, 8:50 AM
Gosford, New South Wales, Australia23

Related Content

Topics

  • Kindergarten
  • Child Care
  • Child safety
  • Marie Hilton
  • Pharmaceutical products for children
  • Punishment of children