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Jean Baptiste Lully
Jean Philippe Rameau
Michel Richard de
François Couperin

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Collège François-Couperin

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Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    19bis quai de Bourbon - 28 rue Le Regrattier, Paris0.2 km away
  • 📍
    19bis quai de Bourbon - 28 rue Le Regrattier0.2 km away
  • 📍
    19bis quai de Bourbon0.2 km away
  • 📍
    44 rue Vieille-du-Temple - 52 rue des Rosiers, Paris0.4 km away
  • 📍
    44 rue Vieille-du-Temple - 52 rue des Rosiers0.4 km away

Network Profile

Overall Strength
i
0.66% of network
(254K)
Strength Breakdown
  • This Post (0.66%)
  • Jean Philippe Rameau (53.64%)
  • Jean Baptiste Lully (32.45%)
  • François Couperin (10.60%)
  • Michel Richard de (2.65%)
Influence Score
i
20.00% of network
(1)
Influence Breakdown
  • This Post (20.00%)
  • Jean Baptiste Lully (20.00%)
  • Michel Richard de (20.00%)
  • Jean Philippe Rameau (20.00%)
  • François Couperin (20.00%)
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 4 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 49 [Jean Baptiste Lully] *
                            4 [Michel Richard de] *
                            81 [Jean Philippe Rameau] *
                            16 [François Couperin]
                           )

                         = 254K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Jean Baptiste Lully] *
                            1 [Michel Richard de] *
                            1 [Jean Philippe Rameau] *
                            1 [François Couperin]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 4 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.66% (254K overall)
  • This Post (0.66%)
  • Jean Philippe Rameau (53.64%)
  • Jean Baptiste Lully (32.45%)
  • François Couperin (10.60%)
  • Michel Richard de (2.65%)
Influence Share (vs Direct Neighbours)
20.00% (1 overall)
  • This Post (20.00%)
  • Jean Baptiste Lully (20.00%)
  • Michel Richard de (20.00%)
  • Jean Philippe Rameau (20.00%)
  • François Couperin (20.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Jean Baptiste Lully ↗
Str: 49Inf: 1
Michel Richard de ↗
Str: 4Inf: 1
Jean Philippe Rameau ↗
Str: 81Inf: 1
François Couperin ↗
Str: 16Inf: 1
Weakest Connections (Lowest Multipliers)
François Couperin ↗
Str: 16Inf: 1
Jean Philippe Rameau ↗
Str: 81Inf: 1
Michel Richard de ↗
Str: 4Inf: 1
Jean Baptiste Lully ↗
Str: 49Inf: 1

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

Outbound Tags (1)
François Couperin
Inbound Posts (1)
François Couperin
Last calculated: Sep 19, 10:46 PM
Paris, Ile-de-France, France53

Related Content

Composers

  • Jean Baptiste Lully
  • Michel Richard de
  • Jean Philippe Rameau
  • François Couperin