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Lane LedererGordon HayesJim FairsRoger CrissingerTom RappWayne HarleyPearls Before Swine

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Connected Bands/Artists

  • Pearls Before Swine

Connected Musicians

  • Jim Fairs

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.69% of network
(196)
Strength Breakdown
  • This Post (1.69%)
  • Jim Fairs (6.78%)
  • Gordon Hayes (1.69%)
  • Lane Lederer (1.69%)
  • Roger Crissinger (1.69%)
  • Tom Rapp (1.69%)
  • Wayne Harley (1.69%)
Dominant nodes (excluded from chart)
Pearls Before Swine 83.05%
Influence Score
i
12.50% of network
(1)
Influence Breakdown
  • This Post (12.50%)
  • Pearls Before Swine (12.50%)
  • Jim Fairs (12.50%)
  • Gordon Hayes (12.50%)
  • Lane Lederer (12.50%)
  • Roger Crissinger (12.50%)
  • Tom Rapp (12.50%)
  • Wayne Harley (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 [Pearls Before Swine] *
                            4 [Jim Fairs] *
                            1 [Gordon Hayes] *
                            1 [Lane Lederer] *
                            1 [Roger Crissinger] *
                            1 [Tom Rapp] *
                            1 [Wayne Harley]
                           )

                         = 196

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Pearls Before Swine] *
                            1 [Jim Fairs] *
                            1 [Gordon Hayes] *
                            1 [Lane Lederer] *
                            1 [Roger Crissinger] *
                            1 [Tom Rapp] *
                            1 [Wayne Harley]
                           )

                         = 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)
1.69% (196 overall)
  • This Post (1.69%)
  • Jim Fairs (6.78%)
  • Gordon Hayes (1.69%)
  • Lane Lederer (1.69%)
  • Roger Crissinger (1.69%)
  • Tom Rapp (1.69%)
  • Wayne Harley (1.69%)
Dominant nodes (excluded from chart)
Pearls Before Swine 83.05%
Influence Share (vs Direct Neighbours)
12.50% (1 overall)
  • This Post (12.50%)
  • Pearls Before Swine (12.50%)
  • Jim Fairs (12.50%)
  • Gordon Hayes (12.50%)
  • Lane Lederer (12.50%)
  • Roger Crissinger (12.50%)
  • Tom Rapp (12.50%)
  • Wayne Harley (12.50%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Pearls Before Swine ↗
Str: 49Inf: 1
Jim Fairs ↗
Str: 4Inf: 1
Gordon Hayes ↗
Str: 1Inf: 1
Lane Lederer ↗
Str: 1Inf: 1
Roger Crissinger ↗
Str: 1Inf: 1
Tom Rapp ↗
Str: 1Inf: 1
Wayne Harley ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Wayne Harley ↗
Str: 1Inf: 1
Tom Rapp ↗
Str: 1Inf: 1
Roger Crissinger ↗
Str: 1Inf: 1
Lane Lederer ↗
Str: 1Inf: 1
Gordon Hayes ↗
Str: 1Inf: 1
Jim Fairs ↗
Str: 4Inf: 1
Pearls Before Swine ↗
Str: 49Inf: 1

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

Outbound Tags (1)
Pearls Before Swine
Inbound Posts (1)
Pearls Before Swine
Last calculated: Jun 15, 12:01 PM
11

Related Content

Topics

  • Wayne Harley
  • Gordon Hayes
  • Lane Lederer
  • Roger Crissinger
  • Tom Rapp