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Kyle KonkielJohn SankeyDaniel LaskiewiczMarlon David Coyle
Divine Heresy
Dino Cazares
Bad WolvesJoe PayneTim Yeung
Lauren Hart

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Connected Bands/Artists

  • Bad Wolves
  • Divine Heresy
    Divine Heresy band photo

Connected Musicians

  • Chris Cain (3)
  • Daniel Laskiewicz
  • Dino Cazares
    Dino Cazares band photo
  • Gabe Seeber
  • Joe Payne
  • Joe Payne (2)
  • John Boecklin
  • John Sankey
  • Kyle Konkiel
  • Lauren Hart
    Lauren Hart band photo
  • Marlon David Coyle
  • Tim Yeung
  • Travis Neal

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.14% of network
(195.91T)
Strength Breakdown
  • This Post (1.14%)
  • Dino Cazares (23.14%)
  • Divine Heresy (23.14%)
  • Tim Yeung (18.29%)
  • Bad Wolves (10.29%)
  • John Sankey (7.14%)
  • Kyle Konkiel (7.14%)
  • Travis Neal (2.57%)
  • John Boecklin (2.57%)
  • Joe Payne (1.14%)
  • Lauren Hart (1.14%)
  • Marlon David Coyle (1.14%)
  • Gabe Seeber (0.29%)
  • Joe Payne (2) (0.29%)
  • Chris Cain (3) (0.29%)
  • Daniel Laskiewicz (0.29%)
Influence Score
i
6.25% of network
(1)
Influence Breakdown
  • This Post (6.25%)
  • Dino Cazares (6.25%)
  • Divine Heresy (6.25%)
  • Joe Payne (6.25%)
  • Tim Yeung (6.25%)
  • Travis Neal (6.25%)
  • John Sankey (6.25%)
  • Lauren Hart (6.25%)
  • Gabe Seeber (6.25%)
  • Joe Payne (2) (6.25%)
  • Kyle Konkiel (6.25%)
  • Bad Wolves (6.25%)
  • Marlon David Coyle (6.25%)
  • John Boecklin (6.25%)
  • Chris Cain (3) (6.25%)
  • Daniel Laskiewicz (6.25%)
Direct Connections 4

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, 2) = 2
$outbound = max(1, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1

// 3. Exponential Network Values (accumulating 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 81 [Dino Cazares] *
                            81 [Divine Heresy] *
                            4 [Joe Payne] *
                            64 [Tim Yeung] *
                            9 [Travis Neal] *
                            25 [John Sankey] *
                            4 [Lauren Hart] *
                            1 [Gabe Seeber] *
                            1 [Joe Payne (2)] *
                            25 [Kyle Konkiel] *
                            36 [Bad Wolves] *
                            4 [Marlon David Coyle] *
                            9 [John Boecklin] *
                            1 [Chris Cain (3)] *
                            1 [Daniel Laskiewicz]
                           )

                         = 195.91T

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Dino Cazares] *
                            1 [Divine Heresy] *
                            1 [Joe Payne] *
                            1 [Tim Yeung] *
                            1 [Travis Neal] *
                            1 [John Sankey] *
                            1 [Lauren Hart] *
                            1 [Gabe Seeber] *
                            1 [Joe Payne (2)] *
                            1 [Kyle Konkiel] *
                            1 [Bad Wolves] *
                            1 [Marlon David Coyle] *
                            1 [John Boecklin] *
                            1 [Chris Cain (3)] *
                            1 [Daniel Laskiewicz]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 15 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.14% (195.91T overall)
  • This Post (1.14%)
  • Dino Cazares (23.14%)
  • Divine Heresy (23.14%)
  • Tim Yeung (18.29%)
  • Bad Wolves (10.29%)
  • John Sankey (7.14%)
  • Kyle Konkiel (7.14%)
  • Travis Neal (2.57%)
  • John Boecklin (2.57%)
  • Joe Payne (1.14%)
  • Lauren Hart (1.14%)
  • Marlon David Coyle (1.14%)
  • Gabe Seeber (0.29%)
  • Joe Payne (2) (0.29%)
  • Chris Cain (3) (0.29%)
  • Daniel Laskiewicz (0.29%)
Influence Share (vs Direct Neighbours)
6.25% (1 overall)
  • This Post (6.25%)
  • Dino Cazares (6.25%)
  • Divine Heresy (6.25%)
  • Joe Payne (6.25%)
  • Tim Yeung (6.25%)
  • Travis Neal (6.25%)
  • John Sankey (6.25%)
  • Lauren Hart (6.25%)
  • Gabe Seeber (6.25%)
  • Joe Payne (2) (6.25%)
  • Kyle Konkiel (6.25%)
  • Bad Wolves (6.25%)
  • Marlon David Coyle (6.25%)
  • John Boecklin (6.25%)
  • Chris Cain (3) (6.25%)
  • Daniel Laskiewicz (6.25%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Dino Cazares ↗
Str: 81Inf: 1
Divine Heresy ↗
Str: 81Inf: 1
Joe Payne ↗
Str: 4Inf: 1
Tim Yeung ↗
Str: 64Inf: 1
Travis Neal ↗
Str: 9Inf: 1
John Sankey ↗
Str: 25Inf: 1
Lauren Hart ↗
Str: 4Inf: 1
Gabe Seeber ↗
Str: 1Inf: 1
Joe Payne (2) ↗
Str: 1Inf: 1
Kyle Konkiel ↗
Str: 25Inf: 1
Bad Wolves ↗
Str: 36Inf: 1
Marlon David Coyle ↗
Str: 4Inf: 1
John Boecklin ↗
Str: 9Inf: 1
Chris Cain (3) ↗
Str: 1Inf: 1
Daniel Laskiewicz ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Daniel Laskiewicz ↗
Str: 1Inf: 1
Chris Cain (3) ↗
Str: 1Inf: 1
John Boecklin ↗
Str: 9Inf: 1
Marlon David Coyle ↗
Str: 4Inf: 1
Bad Wolves ↗
Str: 36Inf: 1
Kyle Konkiel ↗
Str: 25Inf: 1
Joe Payne (2) ↗
Str: 1Inf: 1
Gabe Seeber ↗
Str: 1Inf: 1
Lauren Hart ↗
Str: 4Inf: 1
John Sankey ↗
Str: 25Inf: 1
Travis Neal ↗
Str: 9Inf: 1
Tim Yeung ↗
Str: 64Inf: 1
Joe Payne ↗
Str: 4Inf: 1
Divine Heresy ↗
Str: 81Inf: 1
Dino Cazares ↗
Str: 81Inf: 1

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

Outbound Tags (2)
Bad Wolves
Divine Heresy
Inbound Posts (2)
Divine Heresy
Bad Wolves
Last calculated: Sep 20, 2:10 PM
52

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