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Ma'ale AdumimMann's modelOld railway workers' housing estate in Nowy SączGreater Springfield, Queensland

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Analyzing Network Connections...

Network Profile

Overall Strength
i
20.00% of network
(96)
Strength Breakdown
  • This Post (20.00%)
  • Greater Springfield, Queensland (60.00%)
  • Mann's model (10.00%)
  • Ma'ale Adumim (5.00%)
  • Old railway workers' housing estate in Nowy Sącz (5.00%)
Influence Score
i
12.50% of network
(6)
Influence Breakdown
  • This Post (12.50%)
  • Greater Springfield, Queensland (37.50%)
  • Mann's model (25.00%)
  • Ma'ale Adumim (12.50%)
  • Old railway workers' housing estate in Nowy Sącz (12.50%)
Direct Connections 4

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, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1

// 3. Exponential Network Values (accumulating 4 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 12 [Greater Springfield, Queensland] *
                            2 [Mann's model] *
                            1 [Ma'ale Adumim] *
                            1 [Old railway workers' housing estate in Nowy Sącz]
                           )

                         = 96

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 3 [Greater Springfield, Queensland] *
                            2 [Mann's model] *
                            1 [Ma'ale Adumim] *
                            1 [Old railway workers' housing estate in Nowy Sącz]
                           )

                         = 6
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 4 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
20.00% (96 overall)
  • This Post (20.00%)
  • Greater Springfield, Queensland (60.00%)
  • Mann's model (10.00%)
  • Ma'ale Adumim (5.00%)
  • Old railway workers' housing estate in Nowy Sącz (5.00%)
Influence Share (vs Direct Neighbours)
12.50% (6 overall)
  • This Post (12.50%)
  • Greater Springfield, Queensland (37.50%)
  • Mann's model (25.00%)
  • Ma'ale Adumim (12.50%)
  • Old railway workers' housing estate in Nowy Sącz (12.50%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Greater Springfield, Queensland ↗
Str: 12Inf: 3
Mann's model ↗
Str: 2Inf: 2
Ma'ale Adumim ↗
Str: 1Inf: 1
Old railway workers' housing estate in Nowy Sącz ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Old railway workers' housing estate in Nowy Sącz ↗
Str: 1Inf: 1
Ma'ale Adumim ↗
Str: 1Inf: 1
Mann's model ↗
Str: 2Inf: 2
Greater Springfield, Queensland ↗
Str: 12Inf: 3

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

Outbound Tags (2)
city planning
BROKEN LINK
development
BROKEN LINK
Inbound Posts (2)
No other posts link to this one yet.
Last calculated: Jun 11, 2:23 PM
24

Related Content

Locations

  • Greater Springfield, Queensland

Topics

  • Old railway workers' housing estate in Nowy Sącz
  • Mann's model
  • Ma'ale Adumim