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Barry TeelingFreewheelJimmy WhitesideSean CreightonTerry MurreyTommy VellaGuiness

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Tadhg Kelleher
Last login: 2 days ago
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Francesca Ladybird
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Matthew Leech
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Liam McGuiness

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Connected Bands/Artists

  • Freewheel
  • Guiness

Connected Musicians

  • Barry Teeling
  • Jimmy Whiteside
  • Sean Creighton
  • Terry Murrey
  • Tommy Vella

Analyzing Network Connections...

Network Profile

Overall Strength
i
8.16% of network
(14.4K)
Strength Breakdown
  • This Post (8.16%)
  • Freewheel (51.02%)
  • Jimmy Whiteside (18.37%)
  • Barry Teeling (8.16%)
  • Guiness (8.16%)
  • Tommy Vella (2.04%)
  • Terry Murrey (2.04%)
  • Sean Creighton (2.04%)
Influence Score
i
12.50% of network
(1)
Influence Breakdown
  • This Post (12.50%)
  • Freewheel (12.50%)
  • Tommy Vella (12.50%)
  • Barry Teeling (12.50%)
  • Terry Murrey (12.50%)
  • Sean Creighton (12.50%)
  • Jimmy Whiteside (12.50%)
  • Guiness (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 *
                           ( 25 [Freewheel] *
                            1 [Tommy Vella] *
                            4 [Barry Teeling] *
                            1 [Terry Murrey] *
                            1 [Sean Creighton] *
                            9 [Jimmy Whiteside] *
                            4 [Guiness]
                           )

                         = 14.4K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Freewheel] *
                            1 [Tommy Vella] *
                            1 [Barry Teeling] *
                            1 [Terry Murrey] *
                            1 [Sean Creighton] *
                            1 [Jimmy Whiteside] *
                            1 [Guiness]
                           )

                         = 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)
8.16% (14.4K overall)
  • This Post (8.16%)
  • Freewheel (51.02%)
  • Jimmy Whiteside (18.37%)
  • Barry Teeling (8.16%)
  • Guiness (8.16%)
  • Tommy Vella (2.04%)
  • Terry Murrey (2.04%)
  • Sean Creighton (2.04%)
Influence Share (vs Direct Neighbours)
12.50% (1 overall)
  • This Post (12.50%)
  • Freewheel (12.50%)
  • Tommy Vella (12.50%)
  • Barry Teeling (12.50%)
  • Terry Murrey (12.50%)
  • Sean Creighton (12.50%)
  • Jimmy Whiteside (12.50%)
  • Guiness (12.50%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Freewheel ↗
Str: 25Inf: 1
Tommy Vella ↗
Str: 1Inf: 1
Barry Teeling ↗
Str: 4Inf: 1
Terry Murrey ↗
Str: 1Inf: 1
Sean Creighton ↗
Str: 1Inf: 1
Jimmy Whiteside ↗
Str: 9Inf: 1
Guiness ↗
Str: 4Inf: 1
Weakest Connections (Lowest Multipliers)
Guiness ↗
Str: 4Inf: 1
Jimmy Whiteside ↗
Str: 9Inf: 1
Sean Creighton ↗
Str: 1Inf: 1
Terry Murrey ↗
Str: 1Inf: 1
Barry Teeling ↗
Str: 4Inf: 1
Tommy Vella ↗
Str: 1Inf: 1
Freewheel ↗
Str: 25Inf: 1

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

Outbound Tags (2)
Freewheel
Guiness
Inbound Posts (2)
Freewheel
Guiness
Last calculated: Sep 12, 11:04 PM
34

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