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Kenneth Kapstad
SpidergawdRolf Martin SnustadBent Sæther
Per Borten
Hallvard Gaardlà ̧s

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Connected Bands/Artists

  • Spidergawd

Connected Musicians

  • Bent Sæther
  • Hallvard Gaardlà ̧s
  • Kenneth Kapstad
    Kenneth Kapstad band photo
  • Per Borten
    Per Borten band photo
  • Rolf Martin Snustad

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.50% of network
(82.9K)
Strength Breakdown
  • This Post (0.50%)
  • Spidergawd (18.00%)
  • Rolf Martin Snustad (8.00%)
  • Per Borten (0.50%)
  • Bent Sæther (0.50%)
  • Hallvard Gaardlà ̧s (0.50%)
Dominant nodes (excluded from chart)
Kenneth Kapstad 72.00%
Influence Score
i
14.29% of network
(1)
Influence Breakdown
  • This Post (14.29%)
  • Spidergawd (14.29%)
  • Kenneth Kapstad (14.29%)
  • Per Borten (14.29%)
  • Rolf Martin Snustad (14.29%)
  • Bent Sæther (14.29%)
  • Hallvard Gaardlà ̧s (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 *
                           ( 36 [Spidergawd] *
                            144 [Kenneth Kapstad] *
                            1 [Per Borten] *
                            16 [Rolf Martin Snustad] *
                            1 [Bent Sæther] *
                            1 [Hallvard Gaardlà ̧s]
                           )

                         = 82.9K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Spidergawd] *
                            1 [Kenneth Kapstad] *
                            1 [Per Borten] *
                            1 [Rolf Martin Snustad] *
                            1 [Bent Sæther] *
                            1 [Hallvard Gaardlà ̧s]
                           )

                         = 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)
0.50% (82.9K overall)
  • This Post (0.50%)
  • Spidergawd (18.00%)
  • Rolf Martin Snustad (8.00%)
  • Per Borten (0.50%)
  • Bent Sæther (0.50%)
  • Hallvard Gaardlà ̧s (0.50%)
Dominant nodes (excluded from chart)
Kenneth Kapstad 72.00%
Influence Share (vs Direct Neighbours)
14.29% (1 overall)
  • This Post (14.29%)
  • Spidergawd (14.29%)
  • Kenneth Kapstad (14.29%)
  • Per Borten (14.29%)
  • Rolf Martin Snustad (14.29%)
  • Bent Sæther (14.29%)
  • Hallvard Gaardlà ̧s (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Spidergawd ↗
Str: 36Inf: 1
Kenneth Kapstad ↗
Str: 144Inf: 1
Per Borten ↗
Str: 1Inf: 1
Rolf Martin Snustad ↗
Str: 16Inf: 1
Bent Sæther ↗
Str: 1Inf: 1
Hallvard Gaardlà ̧s ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Hallvard Gaardlà ̧s ↗
Str: 1Inf: 1
Bent Sæther ↗
Str: 1Inf: 1
Rolf Martin Snustad ↗
Str: 16Inf: 1
Per Borten ↗
Str: 1Inf: 1
Kenneth Kapstad ↗
Str: 144Inf: 1
Spidergawd ↗
Str: 36Inf: 1

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

Outbound Tags (1)
Spidergawd
Inbound Posts (1)
Spidergawd
Last calculated: Jul 1, 5:48 PM
27

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