Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Glenn GouldColumbia Symphony OrchestraTadashi HoshinoNagahisa KasamatsuBroadus ErleFrederick William HeimCharles LiboveGeorge Neikrug

Recent Logins

View Members Directory

Eileen Lally
Last login: 1 day ago
Comments: 0

Tadhg Kelleher
Last login: 5 days ago
Comments: 0

Özkan Konu
Last login: 3 weeks ago
Comments: 0

Anne Marie Bevan
Last login: 3 weeks ago
Comments: 0

Kevin Greene
Last login: 4 weeks ago
Comments: 0

Seán Millar
Last login: 4 weeks ago
Comments: 0

Jun Iwasaki

Join the conversation

💬 Know something?

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

Continue with Google Continue with Facebook
Loading Graph...
Press Spacebar to toggle layout

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

Connected Bands/Artists

  • Columbia Symphony Orchestra

Connected Musicians

  • Broadus Erle
  • Charles Libove
  • Frederick William Heim
  • George Neikrug
  • Glenn Gould
    Glenn Gould band photo
  • Nagahisa Kasamatsu
  • Tadashi Hoshino

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.33% of network
(256)
Strength Breakdown
  • This Post (1.33%)
  • Glenn Gould (5.33%)
  • Broadus Erle (1.33%)
  • Charles Libove (1.33%)
  • Frederick William Heim (1.33%)
  • George Neikrug (1.33%)
  • Nagahisa Kasamatsu (1.33%)
  • Tadashi Hoshino (1.33%)
Dominant nodes (excluded from chart)
Columbia Symphony Orchestra 85.33%
Influence Score
i
11.11% of network
(1)
Influence Breakdown
  • This Post (11.11%)
  • Glenn Gould (11.11%)
  • Columbia Symphony Orchestra (11.11%)
  • Broadus Erle (11.11%)
  • Charles Libove (11.11%)
  • Frederick William Heim (11.11%)
  • George Neikrug (11.11%)
  • Nagahisa Kasamatsu (11.11%)
  • Tadashi Hoshino (11.11%)
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 8 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 4 [Glenn Gould] *
                            64 [Columbia Symphony Orchestra] *
                            1 [Broadus Erle] *
                            1 [Charles Libove] *
                            1 [Frederick William Heim] *
                            1 [George Neikrug] *
                            1 [Nagahisa Kasamatsu] *
                            1 [Tadashi Hoshino]
                           )
                         = 256

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Glenn Gould] *
                            1 [Columbia Symphony Orchestra] *
                            1 [Broadus Erle] *
                            1 [Charles Libove] *
                            1 [Frederick William Heim] *
                            1 [George Neikrug] *
                            1 [Nagahisa Kasamatsu] *
                            1 [Tadashi Hoshino]
                           )
                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 8 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.33% (256 overall)
  • This Post (1.33%)
  • Glenn Gould (5.33%)
  • Broadus Erle (1.33%)
  • Charles Libove (1.33%)
  • Frederick William Heim (1.33%)
  • George Neikrug (1.33%)
  • Nagahisa Kasamatsu (1.33%)
  • Tadashi Hoshino (1.33%)
Dominant nodes (excluded from chart)
Columbia Symphony Orchestra 85.33%
Influence Share (vs Direct Neighbours)
11.11% (1 overall)
  • This Post (11.11%)
  • Glenn Gould (11.11%)
  • Columbia Symphony Orchestra (11.11%)
  • Broadus Erle (11.11%)
  • Charles Libove (11.11%)
  • Frederick William Heim (11.11%)
  • George Neikrug (11.11%)
  • Nagahisa Kasamatsu (11.11%)
  • Tadashi Hoshino (11.11%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Glenn Gould ↗
Str: 4Inf: 1
Columbia Symphony Orchestra ↗
Str: 64Inf: 1
Broadus Erle ↗
Str: 1Inf: 1
Charles Libove ↗
Str: 1Inf: 1
Frederick William Heim ↗
Str: 1Inf: 1
George Neikrug ↗
Str: 1Inf: 1
Nagahisa Kasamatsu ↗
Str: 1Inf: 1
Tadashi Hoshino ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Tadashi Hoshino ↗
Str: 1Inf: 1
Nagahisa Kasamatsu ↗
Str: 1Inf: 1
George Neikrug ↗
Str: 1Inf: 1
Frederick William Heim ↗
Str: 1Inf: 1
Charles Libove ↗
Str: 1Inf: 1
Broadus Erle ↗
Str: 1Inf: 1
Columbia Symphony Orchestra ↗
Str: 64Inf: 1
Glenn Gould ↗
Str: 4Inf: 1

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

Outbound Tags (1)
Columbia Symphony Orchestra
Inbound Posts (1)
Columbia Symphony Orchestra
Last calculated: Jun 7, 3:59 PM
13

Related Content

No related content found.