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Brian Leppke
Dave Nassie
Jona Weinhofen
Marta Peterson
Bleeding Through
Derek Youngsma
Brandon RichterMarc Jackson
Chad Tafolla
Troy Born

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Connected Bands/Artists

  • Bleeding Through
    Bleeding Through band photo

Connected Musicians

  • Brandan Schieppati
    Brandan Schieppati band photo
  • Brandon Richter
  • Brian Leppke
    Brian Leppke band photo
  • Chad Tafolla
    Chad Tafolla band photo
  • Dave Nassie
    Dave Nassie band photo
  • Derek Youngsma
    Derek Youngsma band photo
  • Jona Weinhofen
    Jona Weinhofen band photo
  • Marc Jackson
  • Marta Peterson
    Marta Peterson band photo
  • Molly Street
  • Ryan Wombacher
  • Troy Born

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.37% of network
(10.22B)
Strength Breakdown
  • This Post (0.37%)
  • Brandan Schieppati (13.33%)
  • Jona Weinhofen (5.93%)
  • Dave Nassie (3.33%)
  • Derek Youngsma (3.33%)
  • Ryan Wombacher (3.33%)
  • Chad Tafolla (3.33%)
  • Brandon Richter (1.48%)
  • Marc Jackson (1.48%)
  • Brian Leppke (0.37%)
  • Marta Peterson (0.37%)
  • Molly Street (0.37%)
  • Troy Born (0.37%)
Dominant nodes (excluded from chart)
Bleeding Through 62.59%
Influence Score
i
7.14% of network
(1)
Influence Breakdown
  • This Post (7.14%)
  • Bleeding Through (7.14%)
  • Brandan Schieppati (7.14%)
  • Brian Leppke (7.14%)
  • Dave Nassie (7.14%)
  • Derek Youngsma (7.14%)
  • Marta Peterson (7.14%)
  • Ryan Wombacher (7.14%)
  • Jona Weinhofen (7.14%)
  • Brandon Richter (7.14%)
  • Chad Tafolla (7.14%)
  • Marc Jackson (7.14%)
  • Molly Street (7.14%)
  • Troy Born (7.14%)
Direct Connections 2

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

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

// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 169 [Bleeding Through] *
                            36 [Brandan Schieppati] *
                            1 [Brian Leppke] *
                            9 [Dave Nassie] *
                            9 [Derek Youngsma] *
                            1 [Marta Peterson] *
                            9 [Ryan Wombacher] *
                            16 [Jona Weinhofen] *
                            4 [Brandon Richter] *
                            9 [Chad Tafolla] *
                            4 [Marc Jackson] *
                            1 [Molly Street] *
                            1 [Troy Born]
                           )

                         = 10.22B

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Bleeding Through] *
                            1 [Brandan Schieppati] *
                            1 [Brian Leppke] *
                            1 [Dave Nassie] *
                            1 [Derek Youngsma] *
                            1 [Marta Peterson] *
                            1 [Ryan Wombacher] *
                            1 [Jona Weinhofen] *
                            1 [Brandon Richter] *
                            1 [Chad Tafolla] *
                            1 [Marc Jackson] *
                            1 [Molly Street] *
                            1 [Troy Born]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 13 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.37% (10.22B overall)
  • This Post (0.37%)
  • Brandan Schieppati (13.33%)
  • Jona Weinhofen (5.93%)
  • Dave Nassie (3.33%)
  • Derek Youngsma (3.33%)
  • Ryan Wombacher (3.33%)
  • Chad Tafolla (3.33%)
  • Brandon Richter (1.48%)
  • Marc Jackson (1.48%)
  • Brian Leppke (0.37%)
  • Marta Peterson (0.37%)
  • Molly Street (0.37%)
  • Troy Born (0.37%)
Dominant nodes (excluded from chart)
Bleeding Through 62.59%
Influence Share (vs Direct Neighbours)
7.14% (1 overall)
  • This Post (7.14%)
  • Bleeding Through (7.14%)
  • Brandan Schieppati (7.14%)
  • Brian Leppke (7.14%)
  • Dave Nassie (7.14%)
  • Derek Youngsma (7.14%)
  • Marta Peterson (7.14%)
  • Ryan Wombacher (7.14%)
  • Jona Weinhofen (7.14%)
  • Brandon Richter (7.14%)
  • Chad Tafolla (7.14%)
  • Marc Jackson (7.14%)
  • Molly Street (7.14%)
  • Troy Born (7.14%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Bleeding Through ↗
Str: 169Inf: 1
Brandan Schieppati ↗
Str: 36Inf: 1
Brian Leppke ↗
Str: 1Inf: 1
Dave Nassie ↗
Str: 9Inf: 1
Derek Youngsma ↗
Str: 9Inf: 1
Marta Peterson ↗
Str: 1Inf: 1
Ryan Wombacher ↗
Str: 9Inf: 1
Jona Weinhofen ↗
Str: 16Inf: 1
Brandon Richter ↗
Str: 4Inf: 1
Chad Tafolla ↗
Str: 9Inf: 1
Marc Jackson ↗
Str: 4Inf: 1
Molly Street ↗
Str: 1Inf: 1
Troy Born ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Troy Born ↗
Str: 1Inf: 1
Molly Street ↗
Str: 1Inf: 1
Marc Jackson ↗
Str: 4Inf: 1
Chad Tafolla ↗
Str: 9Inf: 1
Brandon Richter ↗
Str: 4Inf: 1
Jona Weinhofen ↗
Str: 16Inf: 1
Ryan Wombacher ↗
Str: 9Inf: 1
Marta Peterson ↗
Str: 1Inf: 1
Derek Youngsma ↗
Str: 9Inf: 1
Dave Nassie ↗
Str: 9Inf: 1
Brian Leppke ↗
Str: 1Inf: 1
Brandan Schieppati ↗
Str: 36Inf: 1
Bleeding Through ↗
Str: 169Inf: 1

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

Outbound Tags (1)
Bleeding Through
Inbound Posts (1)
Bleeding Through
Last calculated: Jun 22, 8:36 AM
26

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