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GARMARNA
Emma Härdelin
Stefan Brisland-FernerRickard Westmanemma-hardelinGotte Ringqvist

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Connected Bands/Artists

  • GARMARNA
    GARMARNA band photo

Connected Musicians

  • Emma Härdelin
    Emma Härdelin band photo
  • emma-hardelin
  • Gotte Ringqvist
  • Jens Höglin
  • Rickard Westman
  • Stefan Brisland-Ferner

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.89% of network
(336)
Strength Breakdown
  • This Post (1.89%)
  • emma-hardelin (7.55%)
  • Emma Härdelin (3.77%)
  • Gotte Ringqvist (1.89%)
  • Rickard Westman (1.89%)
  • Stefan Brisland-Ferner (1.89%)
  • Jens Höglin (1.89%)
Dominant nodes (excluded from chart)
GARMARNA 79.25%
Influence Score
i
11.29% of network
(1.71)
Influence Breakdown
  • This Post (11.29%)
  • Emma Härdelin (22.58%)
  • Gotte Ringqvist (11.29%)
  • Rickard Westman (11.29%)
  • Stefan Brisland-Ferner (11.29%)
  • emma-hardelin (11.29%)
  • Jens Höglin (11.29%)
  • GARMARNA (9.68%)
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 *
                           ( 2 [Emma Härdelin] *
                            1 [Gotte Ringqvist] *
                            1 [Rickard Westman] *
                            1 [Stefan Brisland-Ferner] *
                            4 [emma-hardelin] *
                            1 [Jens Höglin] *
                            42 [GARMARNA]
                           )

                         = 336

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2 [Emma Härdelin] *
                            1 [Gotte Ringqvist] *
                            1 [Rickard Westman] *
                            1 [Stefan Brisland-Ferner] *
                            1 [emma-hardelin] *
                            1 [Jens Höglin] *
                            0.8571 [GARMARNA]
                           )

                         = 1.71
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)
1.89% (336 overall)
  • This Post (1.89%)
  • emma-hardelin (7.55%)
  • Emma Härdelin (3.77%)
  • Gotte Ringqvist (1.89%)
  • Rickard Westman (1.89%)
  • Stefan Brisland-Ferner (1.89%)
  • Jens Höglin (1.89%)
Dominant nodes (excluded from chart)
GARMARNA 79.25%
Influence Share (vs Direct Neighbours)
11.29% (1.71 overall)
  • This Post (11.29%)
  • Emma Härdelin (22.58%)
  • Gotte Ringqvist (11.29%)
  • Rickard Westman (11.29%)
  • Stefan Brisland-Ferner (11.29%)
  • emma-hardelin (11.29%)
  • Jens Höglin (11.29%)
  • GARMARNA (9.68%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Emma Härdelin ↗
Str: 2Inf: 2
Gotte Ringqvist ↗
Str: 1Inf: 1
Rickard Westman ↗
Str: 1Inf: 1
Stefan Brisland-Ferner ↗
Str: 1Inf: 1
emma-hardelin ↗
Str: 4Inf: 1
Jens Höglin ↗
Str: 1Inf: 1
GARMARNA ↗
Str: 42Inf: 0.8571
Weakest Connections (Lowest Multipliers)
GARMARNA ↗
Str: 42Inf: 0.8571
Jens Höglin ↗
Str: 1Inf: 1
emma-hardelin ↗
Str: 4Inf: 1
Stefan Brisland-Ferner ↗
Str: 1Inf: 1
Rickard Westman ↗
Str: 1Inf: 1
Gotte Ringqvist ↗
Str: 1Inf: 1
Emma Härdelin ↗
Str: 2Inf: 2

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

Outbound Tags (1)
GARMARNA
Inbound Posts (1)
GARMARNA
Last calculated: Sep 14, 7:47 AM
19

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