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Francesco Cavalieri
Elisa Candelas MartínPiwee DesfrayChris MentaAnthony ParkerFabio D’AmoreMarco SandronWilldric LievinThomas CesarioFairyland

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Connected Bands/Artists

  • Chris Menta
  • Fairyland

Connected Musicians

  • Anthony Parker
  • Elisa Candelas Martín
  • Elisa Candelas Martín
  • Fabio D’Amore
  • Marco Sandron
  • Max Leclerq
  • Philippe Giordana
  • Piwee Desfray
  • Sylvain Cohen
  • Thomas Cesario
  • Willdric Lievin

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.39% of network
(260.11M)
Strength Breakdown
  • This Post (0.39%)
  • Fabio D'Amore (6.25%)
  • Piwee Desfray (3.52%)
  • Elisa Candelas Martín (3.52%)
  • Francesco Cavalieri (1.56%)
  • Chris Menta (1.56%)
  • Anthony Parker (1.56%)
  • Marco Sandron (1.56%)
  • Elisa Candelas Martín (1.56%)
  • Sylvain Cohen (0.39%)
  • Willdric Lievin (0.39%)
  • Philippe Giordana (0.39%)
  • Max Leclerq (0.39%)
  • Thomas Cesario (0.39%)
Dominant nodes (excluded from chart)
Fairyland 76.56%
Influence Score
i
6.67% of network
(1)
Influence Breakdown
  • This Post (6.67%)
  • Piwee Desfray (6.67%)
  • Fairyland (6.67%)
  • Francesco Cavalieri (6.67%)
  • Chris Menta (6.67%)
  • Sylvain Cohen (6.67%)
  • Willdric Lievin (6.67%)
  • Fabio D'Amore (6.67%)
  • Philippe Giordana (6.67%)
  • Anthony Parker (6.67%)
  • Marco Sandron (6.67%)
  • Max Leclerq (6.67%)
  • Thomas Cesario (6.67%)
  • Elisa Candelas Martín (6.67%)
  • Elisa Candelas Martín (6.67%)
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 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 9 [Piwee Desfray] *
                            196 [Fairyland] *
                            4 [Francesco Cavalieri] *
                            4 [Chris Menta] *
                            1 [Sylvain Cohen] *
                            1 [Willdric Lievin] *
                            16 [Fabio D'Amore] *
                            1 [Philippe Giordana] *
                            4 [Anthony Parker] *
                            4 [Marco Sandron] *
                            1 [Max Leclerq] *
                            1 [Thomas Cesario] *
                            9 [Elisa Candelas Martín] *
                            4 [Elisa Candelas Martín]
                           )

                         = 260.11M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Piwee Desfray] *
                            1 [Fairyland] *
                            1 [Francesco Cavalieri] *
                            1 [Chris Menta] *
                            1 [Sylvain Cohen] *
                            1 [Willdric Lievin] *
                            1 [Fabio D'Amore] *
                            1 [Philippe Giordana] *
                            1 [Anthony Parker] *
                            1 [Marco Sandron] *
                            1 [Max Leclerq] *
                            1 [Thomas Cesario] *
                            1 [Elisa Candelas Martín] *
                            1 [Elisa Candelas Martín]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 14 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.39% (260.11M overall)
  • This Post (0.39%)
  • Fabio D'Amore (6.25%)
  • Piwee Desfray (3.52%)
  • Elisa Candelas Martín (3.52%)
  • Francesco Cavalieri (1.56%)
  • Chris Menta (1.56%)
  • Anthony Parker (1.56%)
  • Marco Sandron (1.56%)
  • Elisa Candelas Martín (1.56%)
  • Sylvain Cohen (0.39%)
  • Willdric Lievin (0.39%)
  • Philippe Giordana (0.39%)
  • Max Leclerq (0.39%)
  • Thomas Cesario (0.39%)
Dominant nodes (excluded from chart)
Fairyland 76.56%
Influence Share (vs Direct Neighbours)
6.67% (1 overall)
  • This Post (6.67%)
  • Piwee Desfray (6.67%)
  • Fairyland (6.67%)
  • Francesco Cavalieri (6.67%)
  • Chris Menta (6.67%)
  • Sylvain Cohen (6.67%)
  • Willdric Lievin (6.67%)
  • Fabio D'Amore (6.67%)
  • Philippe Giordana (6.67%)
  • Anthony Parker (6.67%)
  • Marco Sandron (6.67%)
  • Max Leclerq (6.67%)
  • Thomas Cesario (6.67%)
  • Elisa Candelas Martín (6.67%)
  • Elisa Candelas Martín (6.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Piwee Desfray ↗
Str: 9Inf: 1
Fairyland ↗
Str: 196Inf: 1
Francesco Cavalieri ↗
Str: 4Inf: 1
Chris Menta ↗
Str: 4Inf: 1
Sylvain Cohen ↗
Str: 1Inf: 1
Willdric Lievin ↗
Str: 1Inf: 1
Fabio D'Amore ↗
Str: 16Inf: 1
Philippe Giordana ↗
Str: 1Inf: 1
Anthony Parker ↗
Str: 4Inf: 1
Marco Sandron ↗
Str: 4Inf: 1
Max Leclerq ↗
Str: 1Inf: 1
Thomas Cesario ↗
Str: 1Inf: 1
Elisa Candelas Martín ↗
Str: 9Inf: 1
Elisa Candelas Martín ↗
Str: 4Inf: 1
Weakest Connections (Lowest Multipliers)
Elisa Candelas Martín ↗
Str: 4Inf: 1
Elisa Candelas Martín ↗
Str: 9Inf: 1
Thomas Cesario ↗
Str: 1Inf: 1
Max Leclerq ↗
Str: 1Inf: 1
Marco Sandron ↗
Str: 4Inf: 1
Anthony Parker ↗
Str: 4Inf: 1
Philippe Giordana ↗
Str: 1Inf: 1
Fabio D'Amore ↗
Str: 16Inf: 1
Willdric Lievin ↗
Str: 1Inf: 1
Sylvain Cohen ↗
Str: 1Inf: 1
Chris Menta ↗
Str: 4Inf: 1
Francesco Cavalieri ↗
Str: 4Inf: 1
Fairyland ↗
Str: 196Inf: 1
Piwee Desfray ↗
Str: 9Inf: 1

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

Outbound Tags (1)
Fairyland
Inbound Posts (1)
Fairyland
Last calculated: Oct 20, 3:01 PM
40

Related Content

Figures

  • Francesco Cavalieri

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