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Kansas CityPatsy TraceyPat SilkeMartin DoyleT.J. TuttyJonner McCann

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Zebedee

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Connected Bands/Artists

  • Kansas City
  • T.J. Tutty

Connected Musicians

  • Jonner McCann
  • Martin Doyle
  • Pat Silke
  • Patsy Tracey

Analyzing Network Connections...

Network Profile

Overall Strength
i
25.77% of network
(6.4K)
Strength Breakdown
  • This Post (25.77%)
  • Patsy Tracey (4.12%)
  • Martin Doyle (1.03%)
  • Jonner McCann (1.03%)
  • Pat Silke (1.03%)
  • T.J. Tutty (1.03%)
Dominant nodes (excluded from chart)
Kansas City 65.98%
Influence Score
i
14.29% of network
(1)
Influence Breakdown
  • This Post (14.29%)
  • Patsy Tracey (14.29%)
  • Kansas City (14.29%)
  • Martin Doyle (14.29%)
  • Jonner McCann (14.29%)
  • Pat Silke (14.29%)
  • T.J. Tutty (14.29%)
Direct Connections 10

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, 5) = 5
$outbound = max(1, 5) = 5

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1

// 3. Exponential Network Values (accumulating 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 25 *
                           ( 4 [Patsy Tracey] *
                            64 [Kansas City] *
                            1 [Martin Doyle] *
                            1 [Jonner McCann] *
                            1 [Pat Silke] *
                            1 [T.J. Tutty]
                           )

                         = 6.4K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Patsy Tracey] *
                            1 [Kansas City] *
                            1 [Martin Doyle] *
                            1 [Jonner McCann] *
                            1 [Pat Silke] *
                            1 [T.J. Tutty]
                           )

                         = 1
Outbound 5 Tags on post
Inbound 5 Posts tagging this
Connections 6 Total nodes
Base Node Strength 25
Base Node Influence 1
Strength Share (vs Direct Neighbours)
25.77% (6.4K overall)
  • This Post (25.77%)
  • Patsy Tracey (4.12%)
  • Martin Doyle (1.03%)
  • Jonner McCann (1.03%)
  • Pat Silke (1.03%)
  • T.J. Tutty (1.03%)
Dominant nodes (excluded from chart)
Kansas City 65.98%
Influence Share (vs Direct Neighbours)
14.29% (1 overall)
  • This Post (14.29%)
  • Patsy Tracey (14.29%)
  • Kansas City (14.29%)
  • Martin Doyle (14.29%)
  • Jonner McCann (14.29%)
  • Pat Silke (14.29%)
  • T.J. Tutty (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Patsy Tracey ↗
Str: 4Inf: 1
Kansas City ↗
Str: 64Inf: 1
Martin Doyle ↗
Str: 1Inf: 1
Jonner McCann ↗
Str: 1Inf: 1
Pat Silke ↗
Str: 1Inf: 1
T.J. Tutty ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
T.J. Tutty ↗
Str: 1Inf: 1
Pat Silke ↗
Str: 1Inf: 1
Jonner McCann ↗
Str: 1Inf: 1
Martin Doyle ↗
Str: 1Inf: 1
Kansas City ↗
Str: 64Inf: 1
Patsy Tracey ↗
Str: 4Inf: 1

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

Outbound Tags (5)
Jonner McCann
Martin Doyle
Pat Silke
Patsy Tracey
T.J. Tutty
Inbound Posts (5)
Patsy Tracey
Martin Doyle
Jonner McCann
Pat Silke
T.J. Tutty
Last calculated: Jul 24, 5:34 PM
30

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