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Pino Palladino
Paul Rodgers
The Law
Kenney Jones
John StaehelyJim Barber

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Connected Bands/Artists

  • The Law

Connected Musicians

  • Jim Barber
  • John Staehely
  • Kenney Jones
    Kenney Jones band photo
  • Paul Rodgers
    Paul Rodgers band photo
  • Pino Palladino
    Pino Palladino band photo

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.16% of network
(1B)
Strength Breakdown
  • This Post (0.16%)
  • Pino Palladino (39.75%)
  • Kenney Jones (34.94%)
  • Paul Rodgers (18.79%)
  • The Law (5.59%)
  • Jim Barber (0.62%)
  • John Staehely (0.16%)
Influence Score
i
14.29% of network
(1)
Influence Breakdown
  • This Post (14.29%)
  • Pino Palladino (14.29%)
  • Kenney Jones (14.29%)
  • The Law (14.29%)
  • Paul Rodgers (14.29%)
  • Jim Barber (14.29%)
  • John Staehely (14.29%)
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 *
                           ( 256 [Pino Palladino] *
                            225 [Kenney Jones] *
                            36 [The Law] *
                            121 [Paul Rodgers] *
                            4 [Jim Barber] *
                            1 [John Staehely]
                           )

                         = 1B

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Pino Palladino] *
                            1 [Kenney Jones] *
                            1 [The Law] *
                            1 [Paul Rodgers] *
                            1 [Jim Barber] *
                            1 [John Staehely]
                           )

                         = 1
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)
0.16% (1B overall)
  • This Post (0.16%)
  • Pino Palladino (39.75%)
  • Kenney Jones (34.94%)
  • Paul Rodgers (18.79%)
  • The Law (5.59%)
  • Jim Barber (0.62%)
  • John Staehely (0.16%)
Influence Share (vs Direct Neighbours)
14.29% (1 overall)
  • This Post (14.29%)
  • Pino Palladino (14.29%)
  • Kenney Jones (14.29%)
  • The Law (14.29%)
  • Paul Rodgers (14.29%)
  • Jim Barber (14.29%)
  • John Staehely (14.29%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Pino Palladino ↗
Str: 256Inf: 1
Kenney Jones ↗
Str: 225Inf: 1
The Law ↗
Str: 36Inf: 1
Paul Rodgers ↗
Str: 121Inf: 1
Jim Barber ↗
Str: 4Inf: 1
John Staehely ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
John Staehely ↗
Str: 1Inf: 1
Jim Barber ↗
Str: 4Inf: 1
Paul Rodgers ↗
Str: 121Inf: 1
The Law ↗
Str: 36Inf: 1
Kenney Jones ↗
Str: 225Inf: 1
Pino Palladino ↗
Str: 256Inf: 1

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

Outbound Tags (1)
The Law
Inbound Posts (1)
The Law
Last calculated: Jun 21, 10:47 PM
32

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