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Paul WagstaffMark AdjParis AngelsSimon WorrallJayne GillSteve LevyRikki TurnerSteven Tajti

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Connected Bands/Artists

  • Paris Angels

Connected Musicians

  • Jayne Gill
  • Mark Adj
  • Paul Wagstaff
  • Rikki Turner
  • Simon Worrall
  • Steve Levy
  • Steven Tajti

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.33% of network
(256)
Strength Breakdown
  • This Post (1.33%)
  • Paul Wagstaff (5.33%)
  • Simon Worrall (1.33%)
  • Steve Levy (1.33%)
  • Rikki Turner (1.33%)
  • Jayne Gill (1.33%)
  • Mark Adj (1.33%)
  • Steven Tajti (1.33%)
Dominant nodes (excluded from chart)
Paris Angels 85.33%
Influence Score
i
11.11% of network
(1)
Influence Breakdown
  • This Post (11.11%)
  • Paris Angels (11.11%)
  • Simon Worrall (11.11%)
  • Steve Levy (11.11%)
  • Rikki Turner (11.11%)
  • Paul Wagstaff (11.11%)
  • Jayne Gill (11.11%)
  • Mark Adj (11.11%)
  • Steven Tajti (11.11%)
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 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 64 [Paris Angels] *
                            1 [Simon Worrall] *
                            1 [Steve Levy] *
                            1 [Rikki Turner] *
                            4 [Paul Wagstaff] *
                            1 [Jayne Gill] *
                            1 [Mark Adj] *
                            1 [Steven Tajti]
                           )

                         = 256

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Paris Angels] *
                            1 [Simon Worrall] *
                            1 [Steve Levy] *
                            1 [Rikki Turner] *
                            1 [Paul Wagstaff] *
                            1 [Jayne Gill] *
                            1 [Mark Adj] *
                            1 [Steven Tajti]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 8 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.33% (256 overall)
  • This Post (1.33%)
  • Paul Wagstaff (5.33%)
  • Simon Worrall (1.33%)
  • Steve Levy (1.33%)
  • Rikki Turner (1.33%)
  • Jayne Gill (1.33%)
  • Mark Adj (1.33%)
  • Steven Tajti (1.33%)
Dominant nodes (excluded from chart)
Paris Angels 85.33%
Influence Share (vs Direct Neighbours)
11.11% (1 overall)
  • This Post (11.11%)
  • Paris Angels (11.11%)
  • Simon Worrall (11.11%)
  • Steve Levy (11.11%)
  • Rikki Turner (11.11%)
  • Paul Wagstaff (11.11%)
  • Jayne Gill (11.11%)
  • Mark Adj (11.11%)
  • Steven Tajti (11.11%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Paris Angels ↗
Str: 64Inf: 1
Simon Worrall ↗
Str: 1Inf: 1
Steve Levy ↗
Str: 1Inf: 1
Rikki Turner ↗
Str: 1Inf: 1
Paul Wagstaff ↗
Str: 4Inf: 1
Jayne Gill ↗
Str: 1Inf: 1
Mark Adj ↗
Str: 1Inf: 1
Steven Tajti ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Steven Tajti ↗
Str: 1Inf: 1
Mark Adj ↗
Str: 1Inf: 1
Jayne Gill ↗
Str: 1Inf: 1
Paul Wagstaff ↗
Str: 4Inf: 1
Rikki Turner ↗
Str: 1Inf: 1
Steve Levy ↗
Str: 1Inf: 1
Simon Worrall ↗
Str: 1Inf: 1
Paris Angels ↗
Str: 64Inf: 1

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

Outbound Tags (1)
Paris Angels
Inbound Posts (1)
Paris Angels
Last calculated: Jun 22, 2:57 PM
21

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