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Robert Jan StipsRob KloetHenk HofstedeMichiel PetersPeter MeurisPetra LugtenburgMartin BakkerThe NitsLaetitia Van KriekenArwen Linnemann

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Connected Bands/Artists

  • The Nits

Connected Musicians

  • Arwen Linnemann
  • Henk Hofstede
  • Laetitia Van Krieken
  • Martin Bakker
  • Michiel Peters
  • Peter Meuris
  • Petra Lugtenburg
  • Rob Kloet
  • Robert Jan Stips

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.28% of network
(2.07T)
Strength Breakdown
  • This Post (0.28%)
  • The Nits (28.01%)
  • Robert Jan Stips (28.01%)
  • Henk Hofstede (10.08%)
  • Peter Meuris (10.08%)
  • Laetitia Van Krieken (7.00%)
  • Rob Kloet (7.00%)
  • Arwen Linnemann (4.48%)
  • Petra Lugtenburg (4.48%)
  • Martin Bakker (0.28%)
  • Michiel Peters (0.28%)
Influence Score
i
9.09% of network
(1)
Influence Breakdown
  • This Post (9.09%)
  • The Nits (9.09%)
  • Arwen Linnemann (9.09%)
  • Henk Hofstede (9.09%)
  • Laetitia Van Krieken (9.09%)
  • Martin Bakker (9.09%)
  • Michiel Peters (9.09%)
  • Peter Meuris (9.09%)
  • Petra Lugtenburg (9.09%)
  • Rob Kloet (9.09%)
  • Robert Jan Stips (9.09%)
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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 100 [The Nits] *
                            16 [Arwen Linnemann] *
                            36 [Henk Hofstede] *
                            25 [Laetitia Van Krieken] *
                            1 [Martin Bakker] *
                            1 [Michiel Peters] *
                            36 [Peter Meuris] *
                            16 [Petra Lugtenburg] *
                            25 [Rob Kloet] *
                            100 [Robert Jan Stips]
                           )

                         = 2.07T

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [The Nits] *
                            1 [Arwen Linnemann] *
                            1 [Henk Hofstede] *
                            1 [Laetitia Van Krieken] *
                            1 [Martin Bakker] *
                            1 [Michiel Peters] *
                            1 [Peter Meuris] *
                            1 [Petra Lugtenburg] *
                            1 [Rob Kloet] *
                            1 [Robert Jan Stips]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 10 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.28% (2.07T overall)
  • This Post (0.28%)
  • The Nits (28.01%)
  • Robert Jan Stips (28.01%)
  • Henk Hofstede (10.08%)
  • Peter Meuris (10.08%)
  • Laetitia Van Krieken (7.00%)
  • Rob Kloet (7.00%)
  • Arwen Linnemann (4.48%)
  • Petra Lugtenburg (4.48%)
  • Martin Bakker (0.28%)
  • Michiel Peters (0.28%)
Influence Share (vs Direct Neighbours)
9.09% (1 overall)
  • This Post (9.09%)
  • The Nits (9.09%)
  • Arwen Linnemann (9.09%)
  • Henk Hofstede (9.09%)
  • Laetitia Van Krieken (9.09%)
  • Martin Bakker (9.09%)
  • Michiel Peters (9.09%)
  • Peter Meuris (9.09%)
  • Petra Lugtenburg (9.09%)
  • Rob Kloet (9.09%)
  • Robert Jan Stips (9.09%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
The Nits ↗
Str: 100Inf: 1
Arwen Linnemann ↗
Str: 16Inf: 1
Henk Hofstede ↗
Str: 36Inf: 1
Laetitia Van Krieken ↗
Str: 25Inf: 1
Martin Bakker ↗
Str: 1Inf: 1
Michiel Peters ↗
Str: 1Inf: 1
Peter Meuris ↗
Str: 36Inf: 1
Petra Lugtenburg ↗
Str: 16Inf: 1
Rob Kloet ↗
Str: 25Inf: 1
Robert Jan Stips ↗
Str: 100Inf: 1
Weakest Connections (Lowest Multipliers)
Robert Jan Stips ↗
Str: 100Inf: 1
Rob Kloet ↗
Str: 25Inf: 1
Petra Lugtenburg ↗
Str: 16Inf: 1
Peter Meuris ↗
Str: 36Inf: 1
Michiel Peters ↗
Str: 1Inf: 1
Martin Bakker ↗
Str: 1Inf: 1
Laetitia Van Krieken ↗
Str: 25Inf: 1
Henk Hofstede ↗
Str: 36Inf: 1
Arwen Linnemann ↗
Str: 16Inf: 1
The Nits ↗
Str: 100Inf: 1

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

Outbound Tags (1)
The Nits
Inbound Posts (1)
The Nits
Last calculated: Jun 24, 2:24 PM
23

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