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Eddie EbellUndressedIn the CityJohannesburg (2012–present)Un gars, une filleDe Ja Vu

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Analyzing Network Connections...

Network Profile

Overall Strength
i
32.43% of network
(1.5K)
Strength Breakdown
  • This Post (32.43%)
  • Undressed (10.81%)
  • In the City (5.41%)
  • Johannesburg (2012–present) (2.70%)
  • De Ja Vu (2.70%)
  • Un gars, une fille (2.70%)
Dominant nodes (excluded from chart)
Eddie Ebell 43.24%
Influence Score
i
19.51% of network
(0.6667)
Influence Breakdown
  • This Post (19.51%)
  • Johannesburg (2012–present) (14.63%)
  • De Ja Vu (14.63%)
  • Undressed (14.63%)
  • Un gars, une fille (14.63%)
  • Eddie Ebell (14.63%)
  • In the City (7.32%)
Direct Connections 7

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, 4) = 4
$outbound = max(1, 3) = 3

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 3 = 12
Base_Influence (IV) = $inbound / $outbound = 4 / 3 = 1.3333

// 3. Exponential Network Values (accumulating 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 12 *
                           ( 1 [Johannesburg (2012–present)] *
                            1 [De Ja Vu] *
                            4 [Undressed] *
                            1 [Un gars, une fille] *
                            16 [Eddie Ebell] *
                            2 [In the City]
                           )

                         = 1.5K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1.3333 *
                           ( 1 [Johannesburg (2012–present)] *
                            1 [De Ja Vu] *
                            1 [Undressed] *
                            1 [Un gars, une fille] *
                            1 [Eddie Ebell] *
                            0.5 [In the City]
                           )

                         = 0.6667
Outbound 4 Tags on post
Inbound 3 Posts tagging this
Connections 6 Total nodes
Base Node Strength 12
Base Node Influence 1.3333
Strength Share (vs Direct Neighbours)
32.43% (1.5K overall)
  • This Post (32.43%)
  • Undressed (10.81%)
  • In the City (5.41%)
  • Johannesburg (2012–present) (2.70%)
  • De Ja Vu (2.70%)
  • Un gars, une fille (2.70%)
Dominant nodes (excluded from chart)
Eddie Ebell 43.24%
Influence Share (vs Direct Neighbours)
19.51% (0.6667 overall)
  • This Post (19.51%)
  • Johannesburg (2012–present) (14.63%)
  • De Ja Vu (14.63%)
  • Undressed (14.63%)
  • Un gars, une fille (14.63%)
  • Eddie Ebell (14.63%)
  • In the City (7.32%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Johannesburg (2012–present) ↗
Str: 1Inf: 1
De Ja Vu ↗
Str: 1Inf: 1
Undressed ↗
Str: 4Inf: 1
Un gars, une fille ↗
Str: 1Inf: 1
Eddie Ebell ↗
Str: 16Inf: 1
In the City ↗
Str: 2Inf: 0.5
Weakest Connections (Lowest Multipliers)
In the City ↗
Str: 2Inf: 0.5
Eddie Ebell ↗
Str: 16Inf: 1
Un gars, une fille ↗
Str: 1Inf: 1
Undressed ↗
Str: 4Inf: 1
De Ja Vu ↗
Str: 1Inf: 1
Johannesburg (2012–present) ↗
Str: 1Inf: 1

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

Outbound Tags (4)
De Ja Vu
In the City
BROKEN LINK
Un gars, une fille
Undressed
Inbound Posts (3)
De Ja Vu
Undressed
Un gars, une fille
Last calculated: Jun 18, 3:56 PM
17

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Topics

  • Johannesburg (2012–present)
  • De Ja Vu
  • Un gars, une fille