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Power TheoryJeff RoseJim RutherfordBob BallingerShadowdanceNygil Hoch

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Connected Bands/Artists

  • Power Theory
  • Shadowdance

Connected Musicians

  • Bob Ballinger
  • Jeff Rose
  • Jim Rutherford
  • Nygil Hoch

Analyzing Network Connections...

Network Profile

Overall Strength
i
9.52% of network
(900)
Strength Breakdown
  • This Post (9.52%)
  • Jeff Rose (21.43%)
  • Bob Ballinger (2.38%)
  • Jim Rutherford (2.38%)
  • Nygil Hoch (2.38%)
  • Shadowdance (2.38%)
Dominant nodes (excluded from chart)
Power Theory 59.52%
Influence Score
i
14.29% of network
(1)
Influence Breakdown
  • This Post (14.29%)
  • Power Theory (14.29%)
  • Bob Ballinger (14.29%)
  • Jeff Rose (14.29%)
  • Jim Rutherford (14.29%)
  • Nygil Hoch (14.29%)
  • Shadowdance (14.29%)
Direct Connections 4

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, 2) = 2
$outbound = max(1, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1

// 3. Exponential Network Values (accumulating 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 25 [Power Theory] *
                            1 [Bob Ballinger] *
                            9 [Jeff Rose] *
                            1 [Jim Rutherford] *
                            1 [Nygil Hoch] *
                            1 [Shadowdance]
                           )

                         = 900

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Power Theory] *
                            1 [Bob Ballinger] *
                            1 [Jeff Rose] *
                            1 [Jim Rutherford] *
                            1 [Nygil Hoch] *
                            1 [Shadowdance]
                           )

                         = 1
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 6 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
9.52% (900 overall)
  • This Post (9.52%)
  • Jeff Rose (21.43%)
  • Bob Ballinger (2.38%)
  • Jim Rutherford (2.38%)
  • Nygil Hoch (2.38%)
  • Shadowdance (2.38%)
Dominant nodes (excluded from chart)
Power Theory 59.52%
Influence Share (vs Direct Neighbours)
14.29% (1 overall)
  • This Post (14.29%)
  • Power Theory (14.29%)
  • Bob Ballinger (14.29%)
  • Jeff Rose (14.29%)
  • Jim Rutherford (14.29%)
  • Nygil Hoch (14.29%)
  • Shadowdance (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Power Theory ↗
Str: 25Inf: 1
Bob Ballinger ↗
Str: 1Inf: 1
Jeff Rose ↗
Str: 9Inf: 1
Jim Rutherford ↗
Str: 1Inf: 1
Nygil Hoch ↗
Str: 1Inf: 1
Shadowdance ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Shadowdance ↗
Str: 1Inf: 1
Nygil Hoch ↗
Str: 1Inf: 1
Jim Rutherford ↗
Str: 1Inf: 1
Jeff Rose ↗
Str: 9Inf: 1
Bob Ballinger ↗
Str: 1Inf: 1
Power Theory ↗
Str: 25Inf: 1

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

Outbound Tags (2)
Power Theory
Shadowdance
Inbound Posts (2)
Power Theory
Shadowdance
Last calculated: Oct 9, 8:30 PM
19

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