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We Banjo 3
Enda Scahill
Fergal ScahillKiana June WeberMartin Howley

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Connected Bands/Artists

  • We Banjo 3

Connected Musicians

  • Enda Scahill
    Enda Scahill band photo
  • Fergal Scahill
  • Kiana June Weber
  • Martin Howley

Analyzing Network Connections...

Network Profile

Overall Strength
i
2.33% of network
(270)
Strength Breakdown
  • This Post (2.33%)
  • Enda Scahill (20.93%)
  • Martin Howley (2.33%)
  • Kiana June Weber (2.33%)
  • Fergal Scahill (2.33%)
Dominant nodes (excluded from chart)
We Banjo 3 69.77%
Influence Score
i
16.13% of network
(1.2)
Influence Breakdown
  • This Post (16.13%)
  • We Banjo 3 (19.35%)
  • Enda Scahill (16.13%)
  • Martin Howley (16.13%)
  • Kiana June Weber (16.13%)
  • Fergal Scahill (16.13%)
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 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 30 [We Banjo 3] *
                            9 [Enda Scahill] *
                            1 [Martin Howley] *
                            1 [Kiana June Weber] *
                            1 [Fergal Scahill]
                           )

                         = 270

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.2 [We Banjo 3] *
                            1 [Enda Scahill] *
                            1 [Martin Howley] *
                            1 [Kiana June Weber] *
                            1 [Fergal Scahill]
                           )

                         = 1.2
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 5 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
2.33% (270 overall)
  • This Post (2.33%)
  • Enda Scahill (20.93%)
  • Martin Howley (2.33%)
  • Kiana June Weber (2.33%)
  • Fergal Scahill (2.33%)
Dominant nodes (excluded from chart)
We Banjo 3 69.77%
Influence Share (vs Direct Neighbours)
16.13% (1.2 overall)
  • This Post (16.13%)
  • We Banjo 3 (19.35%)
  • Enda Scahill (16.13%)
  • Martin Howley (16.13%)
  • Kiana June Weber (16.13%)
  • Fergal Scahill (16.13%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
We Banjo 3 ↗
Str: 30Inf: 1.2
Enda Scahill ↗
Str: 9Inf: 1
Martin Howley ↗
Str: 1Inf: 1
Kiana June Weber ↗
Str: 1Inf: 1
Fergal Scahill ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Fergal Scahill ↗
Str: 1Inf: 1
Kiana June Weber ↗
Str: 1Inf: 1
Martin Howley ↗
Str: 1Inf: 1
Enda Scahill ↗
Str: 9Inf: 1
We Banjo 3 ↗
Str: 30Inf: 1.2

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

Outbound Tags (1)
We Banjo 3
Inbound Posts (1)
We Banjo 3
Last calculated: Jul 26, 10:45 AM
28

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