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leipzigZeitGerd RosenkranzGötz HamannTheo SommerMarieke ReimannVolker HageGiovanni di Lorenzo

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Connected Bands/Artists

  • Zeit

Connected Musicians

  • Götz Hamann
  • Gerd Rosenkranz
  • Giovanni di Lorenzo
  • Marieke Reimann
  • Theo Sommer
  • Volker Hage

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.16% of network
(960)
Strength Breakdown
  • This Post (1.16%)
  • Gerd Rosenkranz (1.16%)
  • Giovanni di Lorenzo (1.16%)
  • Marieke Reimann (1.16%)
  • Theo Sommer (1.16%)
  • Volker Hage (1.16%)
  • Götz Hamann (1.16%)
Dominant nodes (excluded from chart)
Zeit 74.42%leipzig 17.44%
Influence Score
i
10.34% of network
(1.67)
Influence Breakdown
  • This Post (10.34%)
  • leipzig (17.24%)
  • Zeit (10.34%)
  • Gerd Rosenkranz (10.34%)
  • Giovanni di Lorenzo (10.34%)
  • Marieke Reimann (10.34%)
  • Theo Sommer (10.34%)
  • Volker Hage (10.34%)
  • Götz Hamann (10.34%)
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 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 15 [leipzig] *
                            64 [Zeit] *
                            1 [Gerd Rosenkranz] *
                            1 [Giovanni di Lorenzo] *
                            1 [Marieke Reimann] *
                            1 [Theo Sommer] *
                            1 [Volker Hage] *
                            1 [Götz Hamann]
                           )

                         = 960

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.67 [leipzig] *
                            1 [Zeit] *
                            1 [Gerd Rosenkranz] *
                            1 [Giovanni di Lorenzo] *
                            1 [Marieke Reimann] *
                            1 [Theo Sommer] *
                            1 [Volker Hage] *
                            1 [Götz Hamann]
                           )

                         = 1.67
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 8 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.16% (960 overall)
  • This Post (1.16%)
  • Gerd Rosenkranz (1.16%)
  • Giovanni di Lorenzo (1.16%)
  • Marieke Reimann (1.16%)
  • Theo Sommer (1.16%)
  • Volker Hage (1.16%)
  • Götz Hamann (1.16%)
Dominant nodes (excluded from chart)
Zeit 74.42%leipzig 17.44%
Influence Share (vs Direct Neighbours)
10.34% (1.67 overall)
  • This Post (10.34%)
  • leipzig (17.24%)
  • Zeit (10.34%)
  • Gerd Rosenkranz (10.34%)
  • Giovanni di Lorenzo (10.34%)
  • Marieke Reimann (10.34%)
  • Theo Sommer (10.34%)
  • Volker Hage (10.34%)
  • Götz Hamann (10.34%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
leipzig ↗
Str: 15Inf: 1.67
Zeit ↗
Str: 64Inf: 1
Gerd Rosenkranz ↗
Str: 1Inf: 1
Giovanni di Lorenzo ↗
Str: 1Inf: 1
Marieke Reimann ↗
Str: 1Inf: 1
Theo Sommer ↗
Str: 1Inf: 1
Volker Hage ↗
Str: 1Inf: 1
Götz Hamann ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Götz Hamann ↗
Str: 1Inf: 1
Volker Hage ↗
Str: 1Inf: 1
Theo Sommer ↗
Str: 1Inf: 1
Marieke Reimann ↗
Str: 1Inf: 1
Giovanni di Lorenzo ↗
Str: 1Inf: 1
Gerd Rosenkranz ↗
Str: 1Inf: 1
Zeit ↗
Str: 64Inf: 1
leipzig ↗
Str: 15Inf: 1.67

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

Outbound Tags (1)
Zeit
Inbound Posts (1)
Zeit
Last calculated: Oct 1, 5:24 AM
23

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