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Owen PallettIvan TurkaljLaura BarrettNinja High SchoolThe Hidden CamerasJoel GibbJustin StayshynThe Barcelona PavilionThe BlankketLenin I Shumov

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Connected Bands/Artists

  • Lead (8)
  • Lenin I Shumov
  • Ninja High School
  • The Barcelona Pavilion
  • The Blankket
  • The Hidden Cameras

Connected Musicians

  • Ivan Turkalj
  • Joel Gibb
  • Justin Stayshyn
  • Laura Barrett
  • Magali Meagher
  • Owen Pallett

Analyzing Network Connections...

Network Profile

Overall Strength
i
37.50% of network
(1.8K)
Strength Breakdown
  • This Post (37.50%)
  • Owen Pallett (1.04%)
  • Ivan Turkalj (1.04%)
  • Joel Gibb (1.04%)
  • Justin Stayshyn (1.04%)
  • Laura Barrett (1.04%)
  • Magali Meagher (1.04%)
  • Lead (8) (1.04%)
  • Lenin I Shumov (1.04%)
  • Ninja High School (1.04%)
  • The Barcelona Pavilion (1.04%)
  • The Blankket (1.04%)
Dominant nodes (excluded from chart)
The Hidden Cameras 51.04%
Influence Score
i
7.69% of network
(1)
Influence Breakdown
  • This Post (7.69%)
  • Owen Pallett (7.69%)
  • The Hidden Cameras (7.69%)
  • Ivan Turkalj (7.69%)
  • Joel Gibb (7.69%)
  • Justin Stayshyn (7.69%)
  • Laura Barrett (7.69%)
  • Magali Meagher (7.69%)
  • Lead (8) (7.69%)
  • Lenin I Shumov (7.69%)
  • Ninja High School (7.69%)
  • The Barcelona Pavilion (7.69%)
  • The Blankket (7.69%)
Direct Connections 12

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, 6) = 6

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1

// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 36 *
                           ( 1 [Owen Pallett] *
                            49 [The Hidden Cameras] *
                            1 [Ivan Turkalj] *
                            1 [Joel Gibb] *
                            1 [Justin Stayshyn] *
                            1 [Laura Barrett] *
                            1 [Magali Meagher] *
                            1 [Lead (8)] *
                            1 [Lenin I Shumov] *
                            1 [Ninja High School] *
                            1 [The Barcelona Pavilion] *
                            1 [The Blankket]
                           )

                         = 1.8K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Owen Pallett] *
                            1 [The Hidden Cameras] *
                            1 [Ivan Turkalj] *
                            1 [Joel Gibb] *
                            1 [Justin Stayshyn] *
                            1 [Laura Barrett] *
                            1 [Magali Meagher] *
                            1 [Lead (8)] *
                            1 [Lenin I Shumov] *
                            1 [Ninja High School] *
                            1 [The Barcelona Pavilion] *
                            1 [The Blankket]
                           )

                         = 1
Outbound 6 Tags on post
Inbound 6 Posts tagging this
Connections 12 Total nodes
Base Node Strength 36
Base Node Influence 1
Strength Share (vs Direct Neighbours)
37.50% (1.8K overall)
  • This Post (37.50%)
  • Owen Pallett (1.04%)
  • Ivan Turkalj (1.04%)
  • Joel Gibb (1.04%)
  • Justin Stayshyn (1.04%)
  • Laura Barrett (1.04%)
  • Magali Meagher (1.04%)
  • Lead (8) (1.04%)
  • Lenin I Shumov (1.04%)
  • Ninja High School (1.04%)
  • The Barcelona Pavilion (1.04%)
  • The Blankket (1.04%)
Dominant nodes (excluded from chart)
The Hidden Cameras 51.04%
Influence Share (vs Direct Neighbours)
7.69% (1 overall)
  • This Post (7.69%)
  • Owen Pallett (7.69%)
  • The Hidden Cameras (7.69%)
  • Ivan Turkalj (7.69%)
  • Joel Gibb (7.69%)
  • Justin Stayshyn (7.69%)
  • Laura Barrett (7.69%)
  • Magali Meagher (7.69%)
  • Lead (8) (7.69%)
  • Lenin I Shumov (7.69%)
  • Ninja High School (7.69%)
  • The Barcelona Pavilion (7.69%)
  • The Blankket (7.69%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Owen Pallett ↗
Str: 1Inf: 1
The Hidden Cameras ↗
Str: 49Inf: 1
Ivan Turkalj ↗
Str: 1Inf: 1
Joel Gibb ↗
Str: 1Inf: 1
Justin Stayshyn ↗
Str: 1Inf: 1
Laura Barrett ↗
Str: 1Inf: 1
Magali Meagher ↗
Str: 1Inf: 1
Lead (8) ↗
Str: 1Inf: 1
Lenin I Shumov ↗
Str: 1Inf: 1
Ninja High School ↗
Str: 1Inf: 1
The Barcelona Pavilion ↗
Str: 1Inf: 1
The Blankket ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
The Blankket ↗
Str: 1Inf: 1
The Barcelona Pavilion ↗
Str: 1Inf: 1
Ninja High School ↗
Str: 1Inf: 1
Lenin I Shumov ↗
Str: 1Inf: 1
Lead (8) ↗
Str: 1Inf: 1
Magali Meagher ↗
Str: 1Inf: 1
Laura Barrett ↗
Str: 1Inf: 1
Justin Stayshyn ↗
Str: 1Inf: 1
Joel Gibb ↗
Str: 1Inf: 1
Ivan Turkalj ↗
Str: 1Inf: 1
The Hidden Cameras ↗
Str: 49Inf: 1
Owen Pallett ↗
Str: 1Inf: 1

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

Outbound Tags (6)
Lead (8)
Lenin I Shumov
Ninja High School
The Barcelona Pavilion
The Blankket
The Hidden Cameras
Inbound Posts (6)
The Hidden Cameras
Lead (8)
Lenin I Shumov
Ninja High School
The Barcelona Pavilion
The Blankket
Last calculated: Jun 27, 5:41 PM
25

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