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Jesper Strömblad
Emma Gelotte
Björn Gelotte
Jonna SailonFredrik Johansson (9)
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Connected Bands/Artists

  • All Ends
    All Ends band photo

Connected Musicians

  • Anders Janfalk
  • Björn Gelotte
    Björn Gelotte band photo
  • Emma Gelotte
  • Fredrik Johansson (9)
  • Jesper Strömblad
    Jesper Strömblad band photo
  • Jonna Sailon

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.60% of network
(176.4K)
Strength Breakdown
  • This Post (0.60%)
  • Björn Gelotte (5.42%)
  • Fredrik Johansson (9) (2.41%)
  • Anders Janfalk (0.60%)
  • Emma Gelotte (0.60%)
  • Jonna Sailon (0.60%)
Dominant nodes (excluded from chart)
Jesper Strömblad 60.24%All Ends 29.52%
Influence Score
i
12.50% of network
(1)
Influence Breakdown
  • This Post (12.50%)
  • Björn Gelotte (12.50%)
  • All Ends (12.50%)
  • Jesper Strömblad (12.50%)
  • Anders Janfalk (12.50%)
  • Emma Gelotte (12.50%)
  • Fredrik Johansson (9) (12.50%)
  • Jonna Sailon (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 *
                           ( 9 [Björn Gelotte] *
                            49 [All Ends] *
                            100 [Jesper Strömblad] *
                            1 [Anders Janfalk] *
                            1 [Emma Gelotte] *
                            4 [Fredrik Johansson (9)] *
                            1 [Jonna Sailon]
                           )

                         = 176.4K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Björn Gelotte] *
                            1 [All Ends] *
                            1 [Jesper Strömblad] *
                            1 [Anders Janfalk] *
                            1 [Emma Gelotte] *
                            1 [Fredrik Johansson (9)] *
                            1 [Jonna Sailon]
                           )

                         = 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)
0.60% (176.4K overall)
  • This Post (0.60%)
  • Björn Gelotte (5.42%)
  • Fredrik Johansson (9) (2.41%)
  • Anders Janfalk (0.60%)
  • Emma Gelotte (0.60%)
  • Jonna Sailon (0.60%)
Dominant nodes (excluded from chart)
Jesper Strömblad 60.24%All Ends 29.52%
Influence Share (vs Direct Neighbours)
12.50% (1 overall)
  • This Post (12.50%)
  • Björn Gelotte (12.50%)
  • All Ends (12.50%)
  • Jesper Strömblad (12.50%)
  • Anders Janfalk (12.50%)
  • Emma Gelotte (12.50%)
  • Fredrik Johansson (9) (12.50%)
  • Jonna Sailon (12.50%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Björn Gelotte ↗
Str: 9Inf: 1
All Ends ↗
Str: 49Inf: 1
Jesper Strömblad ↗
Str: 100Inf: 1
Anders Janfalk ↗
Str: 1Inf: 1
Emma Gelotte ↗
Str: 1Inf: 1
Fredrik Johansson (9) ↗
Str: 4Inf: 1
Jonna Sailon ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Jonna Sailon ↗
Str: 1Inf: 1
Fredrik Johansson (9) ↗
Str: 4Inf: 1
Emma Gelotte ↗
Str: 1Inf: 1
Anders Janfalk ↗
Str: 1Inf: 1
Jesper Strömblad ↗
Str: 100Inf: 1
All Ends ↗
Str: 49Inf: 1
Björn Gelotte ↗
Str: 9Inf: 1

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

Outbound Tags (1)
All Ends
Inbound Posts (1)
All Ends
Last calculated: Jul 2, 11:59 AM
29

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