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Roland CasperExeterBaby BackThe DoorkeeperJoseph And His CousinDifferent Faces

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Lausen

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Connected Bands/Artists

  • Baby Back
  • Different Faces
  • Joseph And His Cousin
  • The Doorkeeper

Connected Musicians

  • Roland Casper

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • Thumbnail for Basel-Landschaft
    Basel-Landschaft1.1 km away
  • 📍
    Saint Leodegar11.8 km away
  • 📍
    Cremation graves15.2 km away
  • Thumbnail for Basel-Stadt
    Basel-Stadt15.9 km away
  • 📍
    Canton of Basel-Stadt15.9 km away

Network Profile

Overall Strength
i
1.10% of network
(1.8K)
Strength Breakdown
  • This Post (1.10%)
  • Baby Back (1.10%)
  • Different Faces (1.10%)
  • Joseph And His Cousin (1.10%)
  • The Doorkeeper (1.10%)
Dominant nodes (excluded from chart)
Exeter 54.95%Roland Casper 39.56%
Influence Score
i
12.50% of network
(2)
Influence Breakdown
  • This Post (12.50%)
  • Exeter (25.00%)
  • Roland Casper (12.50%)
  • Baby Back (12.50%)
  • Different Faces (12.50%)
  • Joseph And His Cousin (12.50%)
  • The Doorkeeper (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 6 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 50 [Exeter] *
                            36 [Roland Casper] *
                            1 [Baby Back] *
                            1 [Different Faces] *
                            1 [Joseph And His Cousin] *
                            1 [The Doorkeeper]
                           )

                         = 1.8K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2 [Exeter] *
                            1 [Roland Casper] *
                            1 [Baby Back] *
                            1 [Different Faces] *
                            1 [Joseph And His Cousin] *
                            1 [The Doorkeeper]
                           )

                         = 2
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 6 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.10% (1.8K overall)
  • This Post (1.10%)
  • Baby Back (1.10%)
  • Different Faces (1.10%)
  • Joseph And His Cousin (1.10%)
  • The Doorkeeper (1.10%)
Dominant nodes (excluded from chart)
Exeter 54.95%Roland Casper 39.56%
Influence Share (vs Direct Neighbours)
12.50% (2 overall)
  • This Post (12.50%)
  • Exeter (25.00%)
  • Roland Casper (12.50%)
  • Baby Back (12.50%)
  • Different Faces (12.50%)
  • Joseph And His Cousin (12.50%)
  • The Doorkeeper (12.50%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Exeter ↗
Str: 50Inf: 2
Roland Casper ↗
Str: 36Inf: 1
Baby Back ↗
Str: 1Inf: 1
Different Faces ↗
Str: 1Inf: 1
Joseph And His Cousin ↗
Str: 1Inf: 1
The Doorkeeper ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
The Doorkeeper ↗
Str: 1Inf: 1
Joseph And His Cousin ↗
Str: 1Inf: 1
Different Faces ↗
Str: 1Inf: 1
Baby Back ↗
Str: 1Inf: 1
Roland Casper ↗
Str: 36Inf: 1
Exeter ↗
Str: 50Inf: 2

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

Outbound Tags (1)
Roland Casper
Inbound Posts (1)
Roland Casper
Last calculated: Oct 21, 1:53 PM
Lausen, Bezirk Liestal, Switzerland21

Related Content

Locations

  • Exeter

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