Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Jules MourySociety of Africa
Alphonse Kirmann
François Steinmetz
Melchior de Marion Brésillac
Maximilian Albert
François Gnonhossou
Ernest Hauger
Ignace Hummel

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 8 hours ago
Comments: 0

jacierlogyn
Last login: 4 days ago
Comments: 0

Eileen Lally
Last login: 4 weeks ago
Comments: 0

Özkan Konu
Last login: 1 month ago
Comments: 0

Anne Marie Bevan
Last login: 2 months ago
Comments: 0

Kevin Greene
Last login: 2 months ago
Comments: 0

Jean-Marie Cessou

Loading Graph...
Press Spacebar to toggle layout
Join the conversation

💬 Know something?

Sign in to leave a note, add a photo, or make a connection.

Continue with Google Continue with Facebook

Keep Muso free

Muso is built by one person, for the love of it. no investors — just your support.

€10
Covers an hour of research
Most popular
€25
Keeps the archive running
€50
Funds a full week of work
✎ Enter my own amount
€5
per month · cancel any time

You'll confirm the amount on the next screen

Donate €25 →
Secure checkout via Stripe  ·  No account needed

Related Images

Joseph-Paul Strebler

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.11% of network
(81)
Strength Breakdown
  • This Post (1.11%)
  • Alphonse Kirmann (1.11%)
  • Ernest Hauger (1.11%)
  • François Gnonhossou (1.11%)
  • François Steinmetz (1.11%)
  • Ignace Hummel (1.11%)
  • Jules Moury (1.11%)
  • Maximilian Albert (1.11%)
  • Melchior de Marion Brésillac (1.11%)
Dominant nodes (excluded from chart)
Society of Africa 90.00%
Influence Score
i
10.00% of network
(1)
Influence Breakdown
  • This Post (10.00%)
  • Society of Africa (10.00%)
  • Alphonse Kirmann (10.00%)
  • Ernest Hauger (10.00%)
  • François Gnonhossou (10.00%)
  • François Steinmetz (10.00%)
  • Ignace Hummel (10.00%)
  • Jules Moury (10.00%)
  • Maximilian Albert (10.00%)
  • Melchior de Marion Brésillac (10.00%)
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 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 81 [Society of Africa] *
                            1 [Alphonse Kirmann] *
                            1 [Ernest Hauger] *
                            1 [François Gnonhossou] *
                            1 [François Steinmetz] *
                            1 [Ignace Hummel] *
                            1 [Jules Moury] *
                            1 [Maximilian Albert] *
                            1 [Melchior de Marion Brésillac]
                           )

                         = 81

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Society of Africa] *
                            1 [Alphonse Kirmann] *
                            1 [Ernest Hauger] *
                            1 [François Gnonhossou] *
                            1 [François Steinmetz] *
                            1 [Ignace Hummel] *
                            1 [Jules Moury] *
                            1 [Maximilian Albert] *
                            1 [Melchior de Marion Brésillac]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 9 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.11% (81 overall)
  • This Post (1.11%)
  • Alphonse Kirmann (1.11%)
  • Ernest Hauger (1.11%)
  • François Gnonhossou (1.11%)
  • François Steinmetz (1.11%)
  • Ignace Hummel (1.11%)
  • Jules Moury (1.11%)
  • Maximilian Albert (1.11%)
  • Melchior de Marion Brésillac (1.11%)
Dominant nodes (excluded from chart)
Society of Africa 90.00%
Influence Share (vs Direct Neighbours)
10.00% (1 overall)
  • This Post (10.00%)
  • Society of Africa (10.00%)
  • Alphonse Kirmann (10.00%)
  • Ernest Hauger (10.00%)
  • François Gnonhossou (10.00%)
  • François Steinmetz (10.00%)
  • Ignace Hummel (10.00%)
  • Jules Moury (10.00%)
  • Maximilian Albert (10.00%)
  • Melchior de Marion Brésillac (10.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Society of Africa ↗
Str: 81Inf: 1
Alphonse Kirmann ↗
Str: 1Inf: 1
Ernest Hauger ↗
Str: 1Inf: 1
François Gnonhossou ↗
Str: 1Inf: 1
François Steinmetz ↗
Str: 1Inf: 1
Ignace Hummel ↗
Str: 1Inf: 1
Jules Moury ↗
Str: 1Inf: 1
Maximilian Albert ↗
Str: 1Inf: 1
Melchior de Marion Brésillac ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Melchior de Marion Brésillac ↗
Str: 1Inf: 1
Maximilian Albert ↗
Str: 1Inf: 1
Jules Moury ↗
Str: 1Inf: 1
Ignace Hummel ↗
Str: 1Inf: 1
François Steinmetz ↗
Str: 1Inf: 1
François Gnonhossou ↗
Str: 1Inf: 1
Ernest Hauger ↗
Str: 1Inf: 1
Alphonse Kirmann ↗
Str: 1Inf: 1
Society of Africa ↗
Str: 81Inf: 1

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

Outbound Tags (1)
Society of Africa
Inbound Posts (1)
Society of Africa
Last calculated: Jul 3, 3:24 AM
21

Related Content

Figures

  • François Steinmetz
  • Ignace Hummel
  • Jules Moury
  • Maximilian Albert
  • Melchior de Marion Brésillac
  • Alphonse Kirmann
  • Ernest Hauger
  • François Gnonhossou

Topics

  • Society of Africa