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ViolinskiBarry DunneryMik KaminskiJohn Hodgson (4)Iain WhitmorePaul Mann (8)Michael d’Albuquerque

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Connected Bands/Artists

  • Violinski

Connected Musicians

  • Barry Dunnery
  • Iain Whitmore
  • John Hodgson (4)
  • Michael d’Albuquerque
  • Mik Kaminski
  • Paul Mann (8)

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.49% of network
(1.8K)
Strength Breakdown
  • This Post (1.49%)
  • Mik Kaminski (13.43%)
  • Michael d'Albuquerque (5.97%)
  • Barry Dunnery (1.49%)
  • Iain Whitmore (1.49%)
  • John Hodgson (4) (1.49%)
  • Paul Mann (8) (1.49%)
Dominant nodes (excluded from chart)
Violinski 73.13%
Influence Score
i
12.50% of network
(1)
Influence Breakdown
  • This Post (12.50%)
  • Mik Kaminski (12.50%)
  • Violinski (12.50%)
  • Barry Dunnery (12.50%)
  • Iain Whitmore (12.50%)
  • John Hodgson (4) (12.50%)
  • Paul Mann (8) (12.50%)
  • Michael d'Albuquerque (12.50%)
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 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 9 [Mik Kaminski] *
                            49 [Violinski] *
                            1 [Barry Dunnery] *
                            1 [Iain Whitmore] *
                            1 [John Hodgson (4)] *
                            1 [Paul Mann (8)] *
                            4 [Michael d'Albuquerque]
                           )

                         = 1.8K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Mik Kaminski] *
                            1 [Violinski] *
                            1 [Barry Dunnery] *
                            1 [Iain Whitmore] *
                            1 [John Hodgson (4)] *
                            1 [Paul Mann (8)] *
                            1 [Michael d'Albuquerque]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 7 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.49% (1.8K overall)
  • This Post (1.49%)
  • Mik Kaminski (13.43%)
  • Michael d'Albuquerque (5.97%)
  • Barry Dunnery (1.49%)
  • Iain Whitmore (1.49%)
  • John Hodgson (4) (1.49%)
  • Paul Mann (8) (1.49%)
Dominant nodes (excluded from chart)
Violinski 73.13%
Influence Share (vs Direct Neighbours)
12.50% (1 overall)
  • This Post (12.50%)
  • Mik Kaminski (12.50%)
  • Violinski (12.50%)
  • Barry Dunnery (12.50%)
  • Iain Whitmore (12.50%)
  • John Hodgson (4) (12.50%)
  • Paul Mann (8) (12.50%)
  • Michael d'Albuquerque (12.50%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Mik Kaminski ↗
Str: 9Inf: 1
Violinski ↗
Str: 49Inf: 1
Barry Dunnery ↗
Str: 1Inf: 1
Iain Whitmore ↗
Str: 1Inf: 1
John Hodgson (4) ↗
Str: 1Inf: 1
Paul Mann (8) ↗
Str: 1Inf: 1
Michael d'Albuquerque ↗
Str: 4Inf: 1
Weakest Connections (Lowest Multipliers)
Michael d'Albuquerque ↗
Str: 4Inf: 1
Paul Mann (8) ↗
Str: 1Inf: 1
John Hodgson (4) ↗
Str: 1Inf: 1
Iain Whitmore ↗
Str: 1Inf: 1
Barry Dunnery ↗
Str: 1Inf: 1
Violinski ↗
Str: 49Inf: 1
Mik Kaminski ↗
Str: 9Inf: 1

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

Outbound Tags (1)
Violinski
Inbound Posts (1)
Violinski
Last calculated: Jun 22, 8:09 PM
22

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