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Tokyo OlympicsPRAG VECmartin armstrong453629950_945078210755860_7840700447579203845_n.jpg

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Related Images

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Connected Bands/Artists

  • Tokyo Olympics

Connected Musicians

  • martin armstrong

Analyzing Network Connections...

Network Profile

Overall Strength
i
16.67% of network
(30)
Strength Breakdown
  • This Post (16.67%)
  • Tokyo Olympics (41.67%)
  • 453629950_945078210755860_7840700447579203845_n.jpg (25.00%)
  • martin armstrong (8.33%)
  • PRAG VEC (8.33%)
Influence Score
i
21.43% of network
(3.33)
Influence Breakdown
  • This Post (21.43%)
  • Tokyo Olympics (53.57%)
  • martin armstrong (10.71%)
  • PRAG VEC (10.71%)
  • 453629950_945078210755860_7840700447579203845_n.jpg (3.57%)
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 4 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 2 *
                           ( 5 [Tokyo Olympics] *
                            1 [martin armstrong] *
                            1 [PRAG VEC] *
                            3 [453629950_945078210755860_7840700447579203845_n.jpg]
                           )

                         = 30

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 2 *
                           ( 5 [Tokyo Olympics] *
                            1 [martin armstrong] *
                            1 [PRAG VEC] *
                            0.3333 [453629950_945078210755860_7840700447579203845_n.jpg]
                           )

                         = 3.33
Outbound 2 Tags on post
Inbound 1 Posts tagging this
Connections 4 Total nodes
Base Node Strength 2
Base Node Influence 2
Strength Share (vs Direct Neighbours)
16.67% (30 overall)
  • This Post (16.67%)
  • Tokyo Olympics (41.67%)
  • 453629950_945078210755860_7840700447579203845_n.jpg (25.00%)
  • martin armstrong (8.33%)
  • PRAG VEC (8.33%)
Influence Share (vs Direct Neighbours)
21.43% (3.33 overall)
  • This Post (21.43%)
  • Tokyo Olympics (53.57%)
  • martin armstrong (10.71%)
  • PRAG VEC (10.71%)
  • 453629950_945078210755860_7840700447579203845_n.jpg (3.57%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Tokyo Olympics ↗
Str: 5Inf: 5
martin armstrong ↗
Str: 1Inf: 1
PRAG VEC ↗
Str: 1Inf: 1
453629950_945078210755860_7840700447579203845_n.jpg ↗
Str: 3Inf: 0.3333
Weakest Connections (Lowest Multipliers)
453629950_945078210755860_7840700447579203845_n.jpg ↗
Str: 3Inf: 0.3333
PRAG VEC ↗
Str: 1Inf: 1
martin armstrong ↗
Str: 1Inf: 1
Tokyo Olympics ↗
Str: 5Inf: 5

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

Outbound Tags (2)
453629950_945078210755860_7840700447579203845_n.jpg
BROKEN LINK
martin armstrong
Inbound Posts (1)
martin armstrong
Last calculated: Aug 1, 1:08 AM
County Londonderry, United Kingdom28

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Sorters

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Topics

  • PRAG VEC