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Shibuya-keiMattias AlfheimThe Cardigans
Nina Persson
Magnus SveningssonBengt LagerbergLars Olof Johansson

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Connected Bands/Artists

  • The Cardigans

Connected Musicians

  • Bengt Lagerberg
  • Lars Olof Johansson
  • Magnus Sveningsson
  • Mattias Alfheim
  • Nina Persson
    Nina Persson band photo
  • Shibuya-kei

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.39% of network
(86K)
Strength Breakdown
  • This Post (0.39%)
  • Nina Persson (3.49%)
  • Bengt Lagerberg (0.39%)
  • Lars Olof Johansson (0.39%)
  • Magnus Sveningsson (0.39%)
  • Mattias Alfheim (0.39%)
Dominant nodes (excluded from chart)
Shibuya-kei 75.58%The Cardigans 18.99%
Influence Score
i
12.26% of network
(1.15)
Influence Breakdown
  • This Post (12.26%)
  • Shibuya-kei (14.15%)
  • Nina Persson (12.26%)
  • The Cardigans (12.26%)
  • Bengt Lagerberg (12.26%)
  • Lars Olof Johansson (12.26%)
  • Magnus Sveningsson (12.26%)
  • Mattias Alfheim (12.26%)
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 *
                           ( 195 [Shibuya-kei] *
                            9 [Nina Persson] *
                            49 [The Cardigans] *
                            1 [Bengt Lagerberg] *
                            1 [Lars Olof Johansson] *
                            1 [Magnus Sveningsson] *
                            1 [Mattias Alfheim]
                           )

                         = 86K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.15 [Shibuya-kei] *
                            1 [Nina Persson] *
                            1 [The Cardigans] *
                            1 [Bengt Lagerberg] *
                            1 [Lars Olof Johansson] *
                            1 [Magnus Sveningsson] *
                            1 [Mattias Alfheim]
                           )

                         = 1.15
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)
0.39% (86K overall)
  • This Post (0.39%)
  • Nina Persson (3.49%)
  • Bengt Lagerberg (0.39%)
  • Lars Olof Johansson (0.39%)
  • Magnus Sveningsson (0.39%)
  • Mattias Alfheim (0.39%)
Dominant nodes (excluded from chart)
Shibuya-kei 75.58%The Cardigans 18.99%
Influence Share (vs Direct Neighbours)
12.26% (1.15 overall)
  • This Post (12.26%)
  • Shibuya-kei (14.15%)
  • Nina Persson (12.26%)
  • The Cardigans (12.26%)
  • Bengt Lagerberg (12.26%)
  • Lars Olof Johansson (12.26%)
  • Magnus Sveningsson (12.26%)
  • Mattias Alfheim (12.26%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Shibuya-kei ↗
Str: 195Inf: 1.15
Nina Persson ↗
Str: 9Inf: 1
The Cardigans ↗
Str: 49Inf: 1
Bengt Lagerberg ↗
Str: 1Inf: 1
Lars Olof Johansson ↗
Str: 1Inf: 1
Magnus Sveningsson ↗
Str: 1Inf: 1
Mattias Alfheim ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Mattias Alfheim ↗
Str: 1Inf: 1
Magnus Sveningsson ↗
Str: 1Inf: 1
Lars Olof Johansson ↗
Str: 1Inf: 1
Bengt Lagerberg ↗
Str: 1Inf: 1
The Cardigans ↗
Str: 49Inf: 1
Nina Persson ↗
Str: 9Inf: 1
Shibuya-kei ↗
Str: 195Inf: 1.15

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

Outbound Tags (1)
The Cardigans
Inbound Posts (1)
The Cardigans
Last calculated: Jun 25, 8:11 AM
22

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