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steve albini
Pegboy
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Connected Bands/Artists

  • Pegboy
    Pegboy band photo

Connected Musicians

  • Joe Haggerty
  • John Haggerty
  • Pierre Kezdy
    Pierre Kezdy band photo
  • steve albini
    steve albini band photo
  • Steve Saylors

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.64% of network
(2.62M)
Strength Breakdown
  • This Post (0.64%)
  • steve albini (51.59%)
  • Pegboy (22.93%)
  • Pierre Kezdy (15.92%)
  • John Haggerty (5.73%)
  • Joe Haggerty (2.55%)
  • Steve Saylors (0.64%)
Influence Score
i
14.29% of network
(1)
Influence Breakdown
  • This Post (14.29%)
  • steve albini (14.29%)
  • John Haggerty (14.29%)
  • Pierre Kezdy (14.29%)
  • Pegboy (14.29%)
  • Joe Haggerty (14.29%)
  • Steve Saylors (14.29%)
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 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 81 [steve albini] *
                            9 [John Haggerty] *
                            25 [Pierre Kezdy] *
                            36 [Pegboy] *
                            4 [Joe Haggerty] *
                            1 [Steve Saylors]
                           )

                         = 2.62M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [steve albini] *
                            1 [John Haggerty] *
                            1 [Pierre Kezdy] *
                            1 [Pegboy] *
                            1 [Joe Haggerty] *
                            1 [Steve Saylors]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 6 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.64% (2.62M overall)
  • This Post (0.64%)
  • steve albini (51.59%)
  • Pegboy (22.93%)
  • Pierre Kezdy (15.92%)
  • John Haggerty (5.73%)
  • Joe Haggerty (2.55%)
  • Steve Saylors (0.64%)
Influence Share (vs Direct Neighbours)
14.29% (1 overall)
  • This Post (14.29%)
  • steve albini (14.29%)
  • John Haggerty (14.29%)
  • Pierre Kezdy (14.29%)
  • Pegboy (14.29%)
  • Joe Haggerty (14.29%)
  • Steve Saylors (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
steve albini ↗
Str: 81Inf: 1
John Haggerty ↗
Str: 9Inf: 1
Pierre Kezdy ↗
Str: 25Inf: 1
Pegboy ↗
Str: 36Inf: 1
Joe Haggerty ↗
Str: 4Inf: 1
Steve Saylors ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Steve Saylors ↗
Str: 1Inf: 1
Joe Haggerty ↗
Str: 4Inf: 1
Pegboy ↗
Str: 36Inf: 1
Pierre Kezdy ↗
Str: 25Inf: 1
John Haggerty ↗
Str: 9Inf: 1
steve albini ↗
Str: 81Inf: 1

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

Outbound Tags (1)
Pegboy
Inbound Posts (1)
Pegboy
Last calculated: Jun 8, 3:11 PM
27

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