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The AssociatesAndy HaasMartha LadlyCarl FinkleOmenJocelyne LanoisMartha JohnsonMark GaneTim Gane (2)David Millar

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Martha and the Muffins

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Connected Bands/Artists

  • Jocelyne Lanois
  • Mark Gane
  • Martha Johnson
  • Omen
  • The Associates

Connected Musicians

  • Andy Haas
  • Carl Finkle
  • David Millar
  • Martha Ladly
  • Nick Kent
  • Tim Gane (2)

Analyzing Network Connections...

Network Profile

Overall Strength
i
20.15% of network
(12.6M)
Strength Breakdown
  • This Post (20.15%)
  • Andy Haas (1.00%)
  • Martha Ladly (1.00%)
  • Carl Finkle (0.25%)
  • David Millar (0.25%)
  • Jocelyne Lanois (0.25%)
  • Mark Gane (0.25%)
  • Martha Johnson (0.25%)
  • Nick Kent (0.25%)
  • Tim Gane (2) (0.25%)
Dominant nodes (excluded from chart)
Omen 67.16%The Associates 8.96%
Influence Score
i
8.45% of network
(0.8333)
Influence Breakdown
  • This Post (8.45%)
  • Andy Haas (8.45%)
  • Martha Ladly (8.45%)
  • Carl Finkle (8.45%)
  • David Millar (8.45%)
  • Jocelyne Lanois (8.45%)
  • Mark Gane (8.45%)
  • Martha Johnson (8.45%)
  • Nick Kent (8.45%)
  • Tim Gane (2) (8.45%)
  • The Associates (8.45%)
  • Omen (7.04%)
Direct Connections 18

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, 9) = 9
$outbound = max(1, 9) = 9

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 9 = 81
Base_Influence (IV) = $inbound / $outbound = 9 / 9 = 1

// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 81 *
                           ( 4 [Andy Haas] *
                            4 [Martha Ladly] *
                            1 [Carl Finkle] *
                            1 [David Millar] *
                            1 [Jocelyne Lanois] *
                            1 [Mark Gane] *
                            1 [Martha Johnson] *
                            1 [Nick Kent] *
                            1 [Tim Gane (2)] *
                            36 [The Associates] *
                            270 [Omen]
                           )

                         = 12.6M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Andy Haas] *
                            1 [Martha Ladly] *
                            1 [Carl Finkle] *
                            1 [David Millar] *
                            1 [Jocelyne Lanois] *
                            1 [Mark Gane] *
                            1 [Martha Johnson] *
                            1 [Nick Kent] *
                            1 [Tim Gane (2)] *
                            1 [The Associates] *
                            0.8333 [Omen]
                           )

                         = 0.8333
Outbound 9 Tags on post
Inbound 9 Posts tagging this
Connections 11 Total nodes
Base Node Strength 81
Base Node Influence 1
Strength Share (vs Direct Neighbours)
20.15% (12.6M overall)
  • This Post (20.15%)
  • Andy Haas (1.00%)
  • Martha Ladly (1.00%)
  • Carl Finkle (0.25%)
  • David Millar (0.25%)
  • Jocelyne Lanois (0.25%)
  • Mark Gane (0.25%)
  • Martha Johnson (0.25%)
  • Nick Kent (0.25%)
  • Tim Gane (2) (0.25%)
Dominant nodes (excluded from chart)
Omen 67.16%The Associates 8.96%
Influence Share (vs Direct Neighbours)
8.45% (0.8333 overall)
  • This Post (8.45%)
  • Andy Haas (8.45%)
  • Martha Ladly (8.45%)
  • Carl Finkle (8.45%)
  • David Millar (8.45%)
  • Jocelyne Lanois (8.45%)
  • Mark Gane (8.45%)
  • Martha Johnson (8.45%)
  • Nick Kent (8.45%)
  • Tim Gane (2) (8.45%)
  • The Associates (8.45%)
  • Omen (7.04%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Andy Haas ↗
Str: 4Inf: 1
Martha Ladly ↗
Str: 4Inf: 1
Carl Finkle ↗
Str: 1Inf: 1
David Millar ↗
Str: 1Inf: 1
Jocelyne Lanois ↗
Str: 1Inf: 1
Mark Gane ↗
Str: 1Inf: 1
Martha Johnson ↗
Str: 1Inf: 1
Nick Kent ↗
Str: 1Inf: 1
Tim Gane (2) ↗
Str: 1Inf: 1
The Associates ↗
Str: 36Inf: 1
Omen ↗
Str: 270Inf: 0.8333
Weakest Connections (Lowest Multipliers)
Omen ↗
Str: 270Inf: 0.8333
The Associates ↗
Str: 36Inf: 1
Tim Gane (2) ↗
Str: 1Inf: 1
Nick Kent ↗
Str: 1Inf: 1
Martha Johnson ↗
Str: 1Inf: 1
Mark Gane ↗
Str: 1Inf: 1
Jocelyne Lanois ↗
Str: 1Inf: 1
David Millar ↗
Str: 1Inf: 1
Carl Finkle ↗
Str: 1Inf: 1
Martha Ladly ↗
Str: 4Inf: 1
Andy Haas ↗
Str: 4Inf: 1

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

Outbound Tags (9)
Andy Haas
Carl Finkle
David Millar
Jocelyne Lanois
Mark Gane
Martha Johnson
Martha Ladly
Nick Kent
Tim Gane (2)
Inbound Posts (9)
Andy Haas
Martha Ladly
Carl Finkle
David Millar
Jocelyne Lanois
Mark Gane
Martha Johnson
Nick Kent
Tim Gane (2)
Last calculated: Oct 12, 1:48 PM
14

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