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Mark James Klepaski
Shaun Foist
Keith Wallen
Chad Szeliga
Benjamin Burnley
Jeremy Hummel
Breaking Benjamin
Ben Burnley
Red (44)
Brian Welch

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Connected Bands/Artists

  • Breaking Benjamin
    Breaking Benjamin band photo
  • Love And Death (2)
  • Red (44)

Connected Musicians

  • Aaron Bruch
  • Aaron Fink
  • Ben Burnley
    Ben Burnley band photo
  • Benjamin Burnley
    Benjamin Burnley band photo
  • Brian Welch
    Brian Welch band photo
  • Chad Szeliga
    Chad Szeliga band photo
  • Jeremy Hummel
  • Keith Wallen
  • Mark James Klepaski
    Mark James Klepaski band photo
  • Shaun Foist
    Shaun Foist band photo

Analyzing Network Connections...

Network Profile

Overall Strength
i
5.56% of network
(12.96M)
Strength Breakdown
  • This Post (5.56%)
  • Brian Welch (5.56%)
  • Jeremy Hummel (2.47%)
  • Keith Wallen (2.47%)
  • Love And Death (2) (2.47%)
  • Aaron Bruch (0.62%)
  • Aaron Fink (0.62%)
  • Ben Burnley (0.62%)
  • Mark James Klepaski (0.62%)
  • Shaun Foist (0.62%)
  • Benjamin Burnley (0.62%)
  • Red (44) (0.62%)
Dominant nodes (excluded from chart)
Breaking Benjamin 61.73%Chad Szeliga 15.43%
Influence Score
i
7.14% of network
(1)
Influence Breakdown
  • This Post (7.14%)
  • Chad Szeliga (7.14%)
  • Breaking Benjamin (7.14%)
  • Aaron Bruch (7.14%)
  • Aaron Fink (7.14%)
  • Ben Burnley (7.14%)
  • Jeremy Hummel (7.14%)
  • Keith Wallen (7.14%)
  • Mark James Klepaski (7.14%)
  • Shaun Foist (7.14%)
  • Benjamin Burnley (7.14%)
  • Brian Welch (7.14%)
  • Love And Death (2) (7.14%)
  • Red (44) (7.14%)
Direct Connections 6

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, 3) = 3
$outbound = max(1, 3) = 3

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1

// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 25 [Chad Szeliga] *
                            100 [Breaking Benjamin] *
                            1 [Aaron Bruch] *
                            1 [Aaron Fink] *
                            1 [Ben Burnley] *
                            4 [Jeremy Hummel] *
                            4 [Keith Wallen] *
                            1 [Mark James Klepaski] *
                            1 [Shaun Foist] *
                            1 [Benjamin Burnley] *
                            9 [Brian Welch] *
                            4 [Love And Death (2)] *
                            1 [Red (44)]
                           )

                         = 12.96M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Chad Szeliga] *
                            1 [Breaking Benjamin] *
                            1 [Aaron Bruch] *
                            1 [Aaron Fink] *
                            1 [Ben Burnley] *
                            1 [Jeremy Hummel] *
                            1 [Keith Wallen] *
                            1 [Mark James Klepaski] *
                            1 [Shaun Foist] *
                            1 [Benjamin Burnley] *
                            1 [Brian Welch] *
                            1 [Love And Death (2)] *
                            1 [Red (44)]
                           )

                         = 1
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 13 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
5.56% (12.96M overall)
  • This Post (5.56%)
  • Brian Welch (5.56%)
  • Jeremy Hummel (2.47%)
  • Keith Wallen (2.47%)
  • Love And Death (2) (2.47%)
  • Aaron Bruch (0.62%)
  • Aaron Fink (0.62%)
  • Ben Burnley (0.62%)
  • Mark James Klepaski (0.62%)
  • Shaun Foist (0.62%)
  • Benjamin Burnley (0.62%)
  • Red (44) (0.62%)
Dominant nodes (excluded from chart)
Breaking Benjamin 61.73%Chad Szeliga 15.43%
Influence Share (vs Direct Neighbours)
7.14% (1 overall)
  • This Post (7.14%)
  • Chad Szeliga (7.14%)
  • Breaking Benjamin (7.14%)
  • Aaron Bruch (7.14%)
  • Aaron Fink (7.14%)
  • Ben Burnley (7.14%)
  • Jeremy Hummel (7.14%)
  • Keith Wallen (7.14%)
  • Mark James Klepaski (7.14%)
  • Shaun Foist (7.14%)
  • Benjamin Burnley (7.14%)
  • Brian Welch (7.14%)
  • Love And Death (2) (7.14%)
  • Red (44) (7.14%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Chad Szeliga ↗
Str: 25Inf: 1
Breaking Benjamin ↗
Str: 100Inf: 1
Aaron Bruch ↗
Str: 1Inf: 1
Aaron Fink ↗
Str: 1Inf: 1
Ben Burnley ↗
Str: 1Inf: 1
Jeremy Hummel ↗
Str: 4Inf: 1
Keith Wallen ↗
Str: 4Inf: 1
Mark James Klepaski ↗
Str: 1Inf: 1
Shaun Foist ↗
Str: 1Inf: 1
Benjamin Burnley ↗
Str: 1Inf: 1
Brian Welch ↗
Str: 9Inf: 1
Love And Death (2) ↗
Str: 4Inf: 1
Red (44) ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Red (44) ↗
Str: 1Inf: 1
Love And Death (2) ↗
Str: 4Inf: 1
Brian Welch ↗
Str: 9Inf: 1
Benjamin Burnley ↗
Str: 1Inf: 1
Shaun Foist ↗
Str: 1Inf: 1
Mark James Klepaski ↗
Str: 1Inf: 1
Keith Wallen ↗
Str: 4Inf: 1
Jeremy Hummel ↗
Str: 4Inf: 1
Ben Burnley ↗
Str: 1Inf: 1
Aaron Fink ↗
Str: 1Inf: 1
Aaron Bruch ↗
Str: 1Inf: 1
Breaking Benjamin ↗
Str: 100Inf: 1
Chad Szeliga ↗
Str: 25Inf: 1

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

Outbound Tags (3)
Breaking Benjamin
Love And Death (2)
Red (44)
Inbound Posts (3)
Breaking Benjamin
Love And Death (2)
Red (44)
Last calculated: Nov 10, 11:07 AM
25

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