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Hail of Bullets - Eindhoven Metal Meeting 2016

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Connected Bands/Artists

  • Hail Of Bullets
    Hail Of Bullets band photo

Connected Musicians

  • Dave Ingram
    Dave Ingram band photo
  • Ed Warby
    Ed Warby band photo
  • Martin van Drunen
    Martin van Drunen band photo
  • Paul Baayens
    Paul Baayens band photo
  • Stephan Gebédi
  • Theo van Eekelen

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.19% of network
(11.2B)
Strength Breakdown
  • This Post (0.19%)
  • Ed Warby (62.07%)
  • Martin van Drunen (12.26%)
  • Hail Of Bullets (9.39%)
  • Dave Ingram (9.39%)
  • Paul Baayens (4.79%)
  • Theo van Eekelen (1.72%)
  • Stephan Gebédi (0.19%)
Influence Score
i
12.50% of network
(1)
Influence Breakdown
  • This Post (12.50%)
  • Hail Of Bullets (12.50%)
  • Ed Warby (12.50%)
  • Dave Ingram (12.50%)
  • Paul Baayens (12.50%)
  • Stephan Gebédi (12.50%)
  • Theo van Eekelen (12.50%)
  • Martin van Drunen (12.50%)
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 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 49 [Hail Of Bullets] *
                            324 [Ed Warby] *
                            49 [Dave Ingram] *
                            25 [Paul Baayens] *
                            1 [Stephan Gebédi] *
                            9 [Theo van Eekelen] *
                            64 [Martin van Drunen]
                           )

                         = 11.2B

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Hail Of Bullets] *
                            1 [Ed Warby] *
                            1 [Dave Ingram] *
                            1 [Paul Baayens] *
                            1 [Stephan Gebédi] *
                            1 [Theo van Eekelen] *
                            1 [Martin van Drunen]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 7 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.19% (11.2B overall)
  • This Post (0.19%)
  • Ed Warby (62.07%)
  • Martin van Drunen (12.26%)
  • Hail Of Bullets (9.39%)
  • Dave Ingram (9.39%)
  • Paul Baayens (4.79%)
  • Theo van Eekelen (1.72%)
  • Stephan Gebédi (0.19%)
Influence Share (vs Direct Neighbours)
12.50% (1 overall)
  • This Post (12.50%)
  • Hail Of Bullets (12.50%)
  • Ed Warby (12.50%)
  • Dave Ingram (12.50%)
  • Paul Baayens (12.50%)
  • Stephan Gebédi (12.50%)
  • Theo van Eekelen (12.50%)
  • Martin van Drunen (12.50%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Hail Of Bullets ↗
Str: 49Inf: 1
Ed Warby ↗
Str: 324Inf: 1
Dave Ingram ↗
Str: 49Inf: 1
Paul Baayens ↗
Str: 25Inf: 1
Stephan Gebédi ↗
Str: 1Inf: 1
Theo van Eekelen ↗
Str: 9Inf: 1
Martin van Drunen ↗
Str: 64Inf: 1
Weakest Connections (Lowest Multipliers)
Martin van Drunen ↗
Str: 64Inf: 1
Theo van Eekelen ↗
Str: 9Inf: 1
Stephan Gebédi ↗
Str: 1Inf: 1
Paul Baayens ↗
Str: 25Inf: 1
Dave Ingram ↗
Str: 49Inf: 1
Ed Warby ↗
Str: 324Inf: 1
Hail Of Bullets ↗
Str: 49Inf: 1

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

Outbound Tags (1)
Hail Of Bullets
Inbound Posts (1)
Hail Of Bullets
Last calculated: Oct 1, 12:59 PM
21

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