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Jim Farley & The Tophatters
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Jim Farley & The Tophatters
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Related Images

tophatters_A

Connected Bands/Artists

  • Tophatters
    Tophatters band photo

Connected Musicians

  • Barney Skillen
  • Bob Steele
  • Frank Doyle
  • Jean Burke
  • Jim Farley
    Jim Farley band photo
  • John Ross
  • Johnny Anderson
  • Ken Gibson
  • Marco Petrassi
    Marco Petrassi band photo
  • Mark Mitchell
  • Rita Madigan
  • Stephanie Elliott
  • T.J.Byrne
    T.J.Byrne band photo
  • Terry Mahon
    Terry Mahon band photo

Related Videos

Jim Farley & The Tophatters

Jim Farley & The Tophatters

Jim Farley & The Tophatters

Jim Farley & The Tophatters

Jim Farley & The Tophatters

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.26% of network
(27.55T)
Strength Breakdown
  • This Post (0.26%)
  • Jim Farley (9.18%)
  • T.J.Byrne (9.18%)
  • Johnny Anderson (6.38%)
  • Barney Skillen (4.08%)
  • John Ross (2.30%)
  • Mark Mitchell (2.30%)
  • Terry Mahon (2.30%)
  • Ken Gibson (2.30%)
  • Marco Petrassi (2.30%)
  • Frank Doyle (1.02%)
  • Bob Steele (0.26%)
  • Stephanie Elliott (0.26%)
  • Rita Madigan (0.26%)
  • Jean Burke (0.26%)
Dominant nodes (excluded from chart)
Tophatters 57.40%
Influence Score
i
6.25% of network
(1)
Influence Breakdown
  • This Post (6.25%)
  • Barney Skillen (6.25%)
  • John Ross (6.25%)
  • Mark Mitchell (6.25%)
  • Terry Mahon (6.25%)
  • Jim Farley (6.25%)
  • Ken Gibson (6.25%)
  • Johnny Anderson (6.25%)
  • Frank Doyle (6.25%)
  • Tophatters (6.25%)
  • T.J.Byrne (6.25%)
  • Bob Steele (6.25%)
  • Marco Petrassi (6.25%)
  • Stephanie Elliott (6.25%)
  • Rita Madigan (6.25%)
  • Jean Burke (6.25%)
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 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 16 [Barney Skillen] *
                            9 [John Ross] *
                            9 [Mark Mitchell] *
                            9 [Terry Mahon] *
                            36 [Jim Farley] *
                            9 [Ken Gibson] *
                            25 [Johnny Anderson] *
                            4 [Frank Doyle] *
                            225 [Tophatters] *
                            36 [T.J.Byrne] *
                            1 [Bob Steele] *
                            9 [Marco Petrassi] *
                            1 [Stephanie Elliott] *
                            1 [Rita Madigan] *
                            1 [Jean Burke]
                           )

                         = 27.55T

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Barney Skillen] *
                            1 [John Ross] *
                            1 [Mark Mitchell] *
                            1 [Terry Mahon] *
                            1 [Jim Farley] *
                            1 [Ken Gibson] *
                            1 [Johnny Anderson] *
                            1 [Frank Doyle] *
                            1 [Tophatters] *
                            1 [T.J.Byrne] *
                            1 [Bob Steele] *
                            1 [Marco Petrassi] *
                            1 [Stephanie Elliott] *
                            1 [Rita Madigan] *
                            1 [Jean Burke]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 15 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.26% (27.55T overall)
  • This Post (0.26%)
  • Jim Farley (9.18%)
  • T.J.Byrne (9.18%)
  • Johnny Anderson (6.38%)
  • Barney Skillen (4.08%)
  • John Ross (2.30%)
  • Mark Mitchell (2.30%)
  • Terry Mahon (2.30%)
  • Ken Gibson (2.30%)
  • Marco Petrassi (2.30%)
  • Frank Doyle (1.02%)
  • Bob Steele (0.26%)
  • Stephanie Elliott (0.26%)
  • Rita Madigan (0.26%)
  • Jean Burke (0.26%)
Dominant nodes (excluded from chart)
Tophatters 57.40%
Influence Share (vs Direct Neighbours)
6.25% (1 overall)
  • This Post (6.25%)
  • Barney Skillen (6.25%)
  • John Ross (6.25%)
  • Mark Mitchell (6.25%)
  • Terry Mahon (6.25%)
  • Jim Farley (6.25%)
  • Ken Gibson (6.25%)
  • Johnny Anderson (6.25%)
  • Frank Doyle (6.25%)
  • Tophatters (6.25%)
  • T.J.Byrne (6.25%)
  • Bob Steele (6.25%)
  • Marco Petrassi (6.25%)
  • Stephanie Elliott (6.25%)
  • Rita Madigan (6.25%)
  • Jean Burke (6.25%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Barney Skillen ↗
Str: 16Inf: 1
John Ross ↗
Str: 9Inf: 1
Mark Mitchell ↗
Str: 9Inf: 1
Terry Mahon ↗
Str: 9Inf: 1
Jim Farley ↗
Str: 36Inf: 1
Ken Gibson ↗
Str: 9Inf: 1
Johnny Anderson ↗
Str: 25Inf: 1
Frank Doyle ↗
Str: 4Inf: 1
Tophatters ↗
Str: 225Inf: 1
T.J.Byrne ↗
Str: 36Inf: 1
Bob Steele ↗
Str: 1Inf: 1
Marco Petrassi ↗
Str: 9Inf: 1
Stephanie Elliott ↗
Str: 1Inf: 1
Rita Madigan ↗
Str: 1Inf: 1
Jean Burke ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Jean Burke ↗
Str: 1Inf: 1
Rita Madigan ↗
Str: 1Inf: 1
Stephanie Elliott ↗
Str: 1Inf: 1
Marco Petrassi ↗
Str: 9Inf: 1
Bob Steele ↗
Str: 1Inf: 1
T.J.Byrne ↗
Str: 36Inf: 1
Tophatters ↗
Str: 225Inf: 1
Frank Doyle ↗
Str: 4Inf: 1
Johnny Anderson ↗
Str: 25Inf: 1
Ken Gibson ↗
Str: 9Inf: 1
Jim Farley ↗
Str: 36Inf: 1
Terry Mahon ↗
Str: 9Inf: 1
Mark Mitchell ↗
Str: 9Inf: 1
John Ross ↗
Str: 9Inf: 1
Barney Skillen ↗
Str: 16Inf: 1

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

Outbound Tags (1)
Tophatters
Inbound Posts (1)
Tophatters
Last calculated: Jun 23, 3:13 PM
County Cork, Ireland52

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