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Aileen Pringle
Vienna Showband
Pat Kilty
Shaun Magee
Tommy SomersDave O’ConnorWillie O’Brien
Shay Cranny
Dee McMahonTrevor Smith

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Jim Campbell

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Related Images

vienna_D

Connected Bands/Artists

  • Vienna Showband
    Vienna Showband band photo

Connected Musicians

  • Aileen Pringle
  • Alec Cowan
  • Dan Heary
  • Dave O’Connor
  • Dee McMahon
  • Frank Burke
  • John Lawlor
  • Pat Kilty
    Pat Kilty band photo
  • Shaun Magee
    Shaun Magee band photo
  • Shay Cranny
    Shay Cranny band photo
  • Tommy Somers
  • Trevor Smith
  • Willie O’Brien

Analyzing Network Connections...

Verified Owner Jim Campbell
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Nearest Locations

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    Gentry0.0 km away
  • Thumbnail for Katmandu
    Katmandu0.0 km away
  • Thumbnail for Van Morrison
    Van Morrison0.0 km away
  • 📍
    Dino (musician)0.0 km away
  • Thumbnail for Des McAlea
    Des McAlea0.0 km away

Network Profile

Overall Strength
i
0.34% of network
(131.68B)
Strength Breakdown
  • This Post (0.34%)
  • Shaun Magee (8.53%)
  • Pat Kilty (5.46%)
  • Tommy Somers (3.07%)
  • Dave O'Connor (3.07%)
  • Alec Cowan (3.07%)
  • John Lawlor (3.07%)
  • Trevor Smith (1.37%)
  • Aileen Pringle (1.37%)
  • Dee McMahon (1.37%)
  • Dan Heary (1.37%)
  • Frank Burke (0.34%)
  • Shay Cranny (0.34%)
  • Willie O’Brien (0.34%)
Dominant nodes (excluded from chart)
Vienna Showband 66.89%
Influence Score
i
6.67% of network
(1)
Influence Breakdown
  • This Post (6.67%)
  • Tommy Somers (6.67%)
  • Trevor Smith (6.67%)
  • Aileen Pringle (6.67%)
  • Dave O'Connor (6.67%)
  • Dee McMahon (6.67%)
  • Shaun Magee (6.67%)
  • Pat Kilty (6.67%)
  • Alec Cowan (6.67%)
  • Frank Burke (6.67%)
  • Shay Cranny (6.67%)
  • Dan Heary (6.67%)
  • John Lawlor (6.67%)
  • Vienna Showband (6.67%)
  • Willie O’Brien (6.67%)
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 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 9 [Tommy Somers] *
                            4 [Trevor Smith] *
                            4 [Aileen Pringle] *
                            9 [Dave O'Connor] *
                            4 [Dee McMahon] *
                            25 [Shaun Magee] *
                            16 [Pat Kilty] *
                            9 [Alec Cowan] *
                            1 [Frank Burke] *
                            1 [Shay Cranny] *
                            4 [Dan Heary] *
                            9 [John Lawlor] *
                            196 [Vienna Showband] *
                            1 [Willie O’Brien]
                           )

                         = 131.68B

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Tommy Somers] *
                            1 [Trevor Smith] *
                            1 [Aileen Pringle] *
                            1 [Dave O'Connor] *
                            1 [Dee McMahon] *
                            1 [Shaun Magee] *
                            1 [Pat Kilty] *
                            1 [Alec Cowan] *
                            1 [Frank Burke] *
                            1 [Shay Cranny] *
                            1 [Dan Heary] *
                            1 [John Lawlor] *
                            1 [Vienna Showband] *
                            1 [Willie O’Brien]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 14 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.34% (131.68B overall)
  • This Post (0.34%)
  • Shaun Magee (8.53%)
  • Pat Kilty (5.46%)
  • Tommy Somers (3.07%)
  • Dave O'Connor (3.07%)
  • Alec Cowan (3.07%)
  • John Lawlor (3.07%)
  • Trevor Smith (1.37%)
  • Aileen Pringle (1.37%)
  • Dee McMahon (1.37%)
  • Dan Heary (1.37%)
  • Frank Burke (0.34%)
  • Shay Cranny (0.34%)
  • Willie O’Brien (0.34%)
Dominant nodes (excluded from chart)
Vienna Showband 66.89%
Influence Share (vs Direct Neighbours)
6.67% (1 overall)
  • This Post (6.67%)
  • Tommy Somers (6.67%)
  • Trevor Smith (6.67%)
  • Aileen Pringle (6.67%)
  • Dave O'Connor (6.67%)
  • Dee McMahon (6.67%)
  • Shaun Magee (6.67%)
  • Pat Kilty (6.67%)
  • Alec Cowan (6.67%)
  • Frank Burke (6.67%)
  • Shay Cranny (6.67%)
  • Dan Heary (6.67%)
  • John Lawlor (6.67%)
  • Vienna Showband (6.67%)
  • Willie O’Brien (6.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Tommy Somers ↗
Str: 9Inf: 1
Trevor Smith ↗
Str: 4Inf: 1
Aileen Pringle ↗
Str: 4Inf: 1
Dave O'Connor ↗
Str: 9Inf: 1
Dee McMahon ↗
Str: 4Inf: 1
Shaun Magee ↗
Str: 25Inf: 1
Pat Kilty ↗
Str: 16Inf: 1
Alec Cowan ↗
Str: 9Inf: 1
Frank Burke ↗
Str: 1Inf: 1
Shay Cranny ↗
Str: 1Inf: 1
Dan Heary ↗
Str: 4Inf: 1
John Lawlor ↗
Str: 9Inf: 1
Vienna Showband ↗
Str: 196Inf: 1
Willie O’Brien ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Willie O’Brien ↗
Str: 1Inf: 1
Vienna Showband ↗
Str: 196Inf: 1
John Lawlor ↗
Str: 9Inf: 1
Dan Heary ↗
Str: 4Inf: 1
Shay Cranny ↗
Str: 1Inf: 1
Frank Burke ↗
Str: 1Inf: 1
Alec Cowan ↗
Str: 9Inf: 1
Pat Kilty ↗
Str: 16Inf: 1
Shaun Magee ↗
Str: 25Inf: 1
Dee McMahon ↗
Str: 4Inf: 1
Dave O'Connor ↗
Str: 9Inf: 1
Aileen Pringle ↗
Str: 4Inf: 1
Trevor Smith ↗
Str: 4Inf: 1
Tommy Somers ↗
Str: 9Inf: 1

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

Outbound Tags (1)
Vienna Showband
Inbound Posts (1)
Vienna Showband
Last calculated: Aug 30, 3:53 PM
Belfast, County Antrim, United Kingdom55

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