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Jasen WeitekampJeff HoweJason CrittendenAssückChristopher NorrisMatt CoplonJason RubackyJohn WilleyChris HitchcockDan Radde

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Reversal Of Man

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Connected Bands/Artists

  • Assück

Connected Musicians

  • Chris Hitchcock
  • Christopher Norris
  • Dan Radde
  • Jasen Weitekamp
  • Jason Crittenden
  • Jason Rubacky
  • Jeff Howe
  • Joe Camacho (2)
  • John Willey
  • Matt Coplon

Analyzing Network Connections...

Network Profile

Overall Strength
i
61.73% of network
(19.6K)
Strength Breakdown
  • This Post (61.73%)
  • Jason Crittenden (2.47%)
  • Chris Hitchcock (0.62%)
  • Christopher Norris (0.62%)
  • Dan Radde (0.62%)
  • Jasen Weitekamp (0.62%)
  • Jason Rubacky (0.62%)
  • Jeff Howe (0.62%)
  • Joe Camacho (2) (0.62%)
  • John Willey (0.62%)
  • Matt Coplon (0.62%)
Dominant nodes (excluded from chart)
Assück 30.25%
Influence Score
i
8.33% of network
(1)
Influence Breakdown
  • This Post (8.33%)
  • Chris Hitchcock (8.33%)
  • Christopher Norris (8.33%)
  • Dan Radde (8.33%)
  • Jasen Weitekamp (8.33%)
  • Assück (8.33%)
  • Jason Crittenden (8.33%)
  • Jason Rubacky (8.33%)
  • Jeff Howe (8.33%)
  • Joe Camacho (2) (8.33%)
  • John Willey (8.33%)
  • Matt Coplon (8.33%)
Direct Connections 20

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, 10) = 10
$outbound = max(1, 10) = 10

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 10 = 100
Base_Influence (IV) = $inbound / $outbound = 10 / 10 = 1

// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 100 *
                           ( 1 [Chris Hitchcock] *
                            1 [Christopher Norris] *
                            1 [Dan Radde] *
                            1 [Jasen Weitekamp] *
                            49 [Assück] *
                            4 [Jason Crittenden] *
                            1 [Jason Rubacky] *
                            1 [Jeff Howe] *
                            1 [Joe Camacho (2)] *
                            1 [John Willey] *
                            1 [Matt Coplon]
                           )

                         = 19.6K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Chris Hitchcock] *
                            1 [Christopher Norris] *
                            1 [Dan Radde] *
                            1 [Jasen Weitekamp] *
                            1 [Assück] *
                            1 [Jason Crittenden] *
                            1 [Jason Rubacky] *
                            1 [Jeff Howe] *
                            1 [Joe Camacho (2)] *
                            1 [John Willey] *
                            1 [Matt Coplon]
                           )

                         = 1
Outbound 10 Tags on post
Inbound 10 Posts tagging this
Connections 11 Total nodes
Base Node Strength 100
Base Node Influence 1
Strength Share (vs Direct Neighbours)
61.73% (19.6K overall)
  • This Post (61.73%)
  • Jason Crittenden (2.47%)
  • Chris Hitchcock (0.62%)
  • Christopher Norris (0.62%)
  • Dan Radde (0.62%)
  • Jasen Weitekamp (0.62%)
  • Jason Rubacky (0.62%)
  • Jeff Howe (0.62%)
  • Joe Camacho (2) (0.62%)
  • John Willey (0.62%)
  • Matt Coplon (0.62%)
Dominant nodes (excluded from chart)
Assück 30.25%
Influence Share (vs Direct Neighbours)
8.33% (1 overall)
  • This Post (8.33%)
  • Chris Hitchcock (8.33%)
  • Christopher Norris (8.33%)
  • Dan Radde (8.33%)
  • Jasen Weitekamp (8.33%)
  • Assück (8.33%)
  • Jason Crittenden (8.33%)
  • Jason Rubacky (8.33%)
  • Jeff Howe (8.33%)
  • Joe Camacho (2) (8.33%)
  • John Willey (8.33%)
  • Matt Coplon (8.33%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Chris Hitchcock ↗
Str: 1Inf: 1
Christopher Norris ↗
Str: 1Inf: 1
Dan Radde ↗
Str: 1Inf: 1
Jasen Weitekamp ↗
Str: 1Inf: 1
Assück ↗
Str: 49Inf: 1
Jason Crittenden ↗
Str: 4Inf: 1
Jason Rubacky ↗
Str: 1Inf: 1
Jeff Howe ↗
Str: 1Inf: 1
Joe Camacho (2) ↗
Str: 1Inf: 1
John Willey ↗
Str: 1Inf: 1
Matt Coplon ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Matt Coplon ↗
Str: 1Inf: 1
John Willey ↗
Str: 1Inf: 1
Joe Camacho (2) ↗
Str: 1Inf: 1
Jeff Howe ↗
Str: 1Inf: 1
Jason Rubacky ↗
Str: 1Inf: 1
Jason Crittenden ↗
Str: 4Inf: 1
Assück ↗
Str: 49Inf: 1
Jasen Weitekamp ↗
Str: 1Inf: 1
Dan Radde ↗
Str: 1Inf: 1
Christopher Norris ↗
Str: 1Inf: 1
Chris Hitchcock ↗
Str: 1Inf: 1

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

Outbound Tags (10)
Chris Hitchcock
Christopher Norris
Dan Radde
Jasen Weitekamp
Jason Crittenden
Jason Rubacky
Jeff Howe
Joe Camacho (2)
John Willey
Matt Coplon
Inbound Posts (10)
Chris Hitchcock
Christopher Norris
Dan Radde
Jasen Weitekamp
Jason Crittenden
Jason Rubacky
Jeff Howe
Joe Camacho (2)
John Willey
Matt Coplon
Last calculated: Jul 2, 10:22 PM
24

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