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Wally McConville
Paul Fairclough
Bagatelle
Margaret CoadyMickey Magill
Ken Doyle
Bagatelle (2)

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Related Images

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Connected Bands/Artists

  • Bagatelle
    Bagatelle band photo
  • Bagatelle (2)

Connected Musicians

  • Ken Doyle
    Ken Doyle band photo
  • Margaret Coady
  • Mickey Magill
  • Paul Fairclough
    Paul Fairclough band photo
  • Wally McConville
    Wally McConville band photo

Analyzing Network Connections...

Network Profile

Overall Strength
i
2.45% of network
(921.6K)
Strength Breakdown
  • This Post (2.45%)
  • Bagatelle (22.09%)
  • Paul Fairclough (9.82%)
  • Ken Doyle (2.45%)
  • Wally McConville (0.61%)
  • Margaret Coady (0.61%)
  • Bagatelle (2) (0.61%)
Dominant nodes (excluded from chart)
Mickey Magill 61.35%
Influence Score
i
12.50% of network
(1)
Influence Breakdown
  • This Post (12.50%)
  • Bagatelle (12.50%)
  • Wally McConville (12.50%)
  • Ken Doyle (12.50%)
  • Margaret Coady (12.50%)
  • Mickey Magill (12.50%)
  • Paul Fairclough (12.50%)
  • Bagatelle (2) (12.50%)
Direct Connections 4

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, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1

// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 36 [Bagatelle] *
                            1 [Wally McConville] *
                            4 [Ken Doyle] *
                            1 [Margaret Coady] *
                            100 [Mickey Magill] *
                            16 [Paul Fairclough] *
                            1 [Bagatelle (2)]
                           )

                         = 921.6K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Bagatelle] *
                            1 [Wally McConville] *
                            1 [Ken Doyle] *
                            1 [Margaret Coady] *
                            1 [Mickey Magill] *
                            1 [Paul Fairclough] *
                            1 [Bagatelle (2)]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 7 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
2.45% (921.6K overall)
  • This Post (2.45%)
  • Bagatelle (22.09%)
  • Paul Fairclough (9.82%)
  • Ken Doyle (2.45%)
  • Wally McConville (0.61%)
  • Margaret Coady (0.61%)
  • Bagatelle (2) (0.61%)
Dominant nodes (excluded from chart)
Mickey Magill 61.35%
Influence Share (vs Direct Neighbours)
12.50% (1 overall)
  • This Post (12.50%)
  • Bagatelle (12.50%)
  • Wally McConville (12.50%)
  • Ken Doyle (12.50%)
  • Margaret Coady (12.50%)
  • Mickey Magill (12.50%)
  • Paul Fairclough (12.50%)
  • Bagatelle (2) (12.50%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Bagatelle ↗
Str: 36Inf: 1
Wally McConville ↗
Str: 1Inf: 1
Ken Doyle ↗
Str: 4Inf: 1
Margaret Coady ↗
Str: 1Inf: 1
Mickey Magill ↗
Str: 100Inf: 1
Paul Fairclough ↗
Str: 16Inf: 1
Bagatelle (2) ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Bagatelle (2) ↗
Str: 1Inf: 1
Paul Fairclough ↗
Str: 16Inf: 1
Mickey Magill ↗
Str: 100Inf: 1
Margaret Coady ↗
Str: 1Inf: 1
Ken Doyle ↗
Str: 4Inf: 1
Wally McConville ↗
Str: 1Inf: 1
Bagatelle ↗
Str: 36Inf: 1

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

Outbound Tags (2)
Bagatelle
Bagatelle (2)
Inbound Posts (2)
Bagatelle
Bagatelle (2)
Last calculated: Jun 23, 9:19 AM
36

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