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John FryerMyriadsMikael StokdalAlexander TwissChristopher KaysenMona Undheim Skottene

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Connected Bands/Artists

  • Myriads

Connected Musicians

  • Alexander Twiss
  • Christopher Kaysen
  • John Fryer
  • Mikael Stokdal
  • Mona Undheim Skottene

Analyzing Network Connections...

Network Profile

Overall Strength
i
2.22% of network
(144)
Strength Breakdown
  • This Post (2.22%)
  • John Fryer (8.89%)
  • Alexander Twiss (2.22%)
  • Christopher Kaysen (2.22%)
  • Mona Undheim Skottene (2.22%)
  • Mikael Stokdal (2.22%)
Dominant nodes (excluded from chart)
Myriads 80.00%
Influence Score
i
14.29% of network
(1)
Influence Breakdown
  • This Post (14.29%)
  • Myriads (14.29%)
  • Alexander Twiss (14.29%)
  • Christopher Kaysen (14.29%)
  • John Fryer (14.29%)
  • Mona Undheim Skottene (14.29%)
  • Mikael Stokdal (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 [Myriads] *
                            1 [Alexander Twiss] *
                            1 [Christopher Kaysen] *
                            4 [John Fryer] *
                            1 [Mona Undheim Skottene] *
                            1 [Mikael Stokdal]
                           )

                         = 144

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Myriads] *
                            1 [Alexander Twiss] *
                            1 [Christopher Kaysen] *
                            1 [John Fryer] *
                            1 [Mona Undheim Skottene] *
                            1 [Mikael Stokdal]
                           )

                         = 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)
2.22% (144 overall)
  • This Post (2.22%)
  • John Fryer (8.89%)
  • Alexander Twiss (2.22%)
  • Christopher Kaysen (2.22%)
  • Mona Undheim Skottene (2.22%)
  • Mikael Stokdal (2.22%)
Dominant nodes (excluded from chart)
Myriads 80.00%
Influence Share (vs Direct Neighbours)
14.29% (1 overall)
  • This Post (14.29%)
  • Myriads (14.29%)
  • Alexander Twiss (14.29%)
  • Christopher Kaysen (14.29%)
  • John Fryer (14.29%)
  • Mona Undheim Skottene (14.29%)
  • Mikael Stokdal (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Myriads ↗
Str: 36Inf: 1
Alexander Twiss ↗
Str: 1Inf: 1
Christopher Kaysen ↗
Str: 1Inf: 1
John Fryer ↗
Str: 4Inf: 1
Mona Undheim Skottene ↗
Str: 1Inf: 1
Mikael Stokdal ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Mikael Stokdal ↗
Str: 1Inf: 1
Mona Undheim Skottene ↗
Str: 1Inf: 1
John Fryer ↗
Str: 4Inf: 1
Christopher Kaysen ↗
Str: 1Inf: 1
Alexander Twiss ↗
Str: 1Inf: 1
Myriads ↗
Str: 36Inf: 1

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

Outbound Tags (1)
Myriads
Inbound Posts (1)
Myriads
Last calculated: Sep 13, 9:09 AM
28

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