Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Johns Hopkins University
Peabody InstituteJohns HopkinsDuncan S. JohnsonJoseph Silk

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 12 hours ago
Comments: 0

Darragh Lennon
Last login: 3 days ago
Comments: 0

Cathal Kennedy
Last login: 1 week ago
Comments: 0

jacierlogyn
Last login: 4 weeks ago
Comments: 0

Eileen Lally
Last login: 2 months ago
Comments: 0

Özkan Konu
Last login: 2 months ago
Comments: 0

Sheridan Libraries

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

Applied Physics Laboratory
John Huston Finley
Johns Hopkins Blue Jays
Johns Hopkins University athletics
Johns Hopkins Inlet
John W. Garrett

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    Druid Heights2.8 km away
  • 📍
    Baltimore Heritage3.0 km away
  • 📍
    Peabody Institute of the Johns Hopkins University3.6 km away
  • Thumbnail for Johns Hopkins University
    Johns Hopkins University4.3 km away
  • 📍
    Johns Hopkins4.3 km away

Network Profile

Overall Strength
i
0.95% of network
(262.1K)
Strength Breakdown
  • This Post (0.95%)
  • Peabody Institute (60.95%)
  • Johns Hopkins University (15.24%)
  • Johns Hopkins (15.24%)
  • Duncan S. Johnson (3.81%)
  • Joseph Silk (3.81%)
Influence Score
i
16.67% of network
(1)
Influence Breakdown
  • This Post (16.67%)
  • Peabody Institute (16.67%)
  • Johns Hopkins University (16.67%)
  • Duncan S. Johnson (16.67%)
  • Johns Hopkins (16.67%)
  • Joseph Silk (16.67%)
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 5 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 64 [Peabody Institute] *
                            16 [Johns Hopkins University] *
                            4 [Duncan S. Johnson] *
                            16 [Johns Hopkins] *
                            4 [Joseph Silk]
                           )

                         = 262.1K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Peabody Institute] *
                            1 [Johns Hopkins University] *
                            1 [Duncan S. Johnson] *
                            1 [Johns Hopkins] *
                            1 [Joseph Silk]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 5 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.95% (262.1K overall)
  • This Post (0.95%)
  • Peabody Institute (60.95%)
  • Johns Hopkins University (15.24%)
  • Johns Hopkins (15.24%)
  • Duncan S. Johnson (3.81%)
  • Joseph Silk (3.81%)
Influence Share (vs Direct Neighbours)
16.67% (1 overall)
  • This Post (16.67%)
  • Peabody Institute (16.67%)
  • Johns Hopkins University (16.67%)
  • Duncan S. Johnson (16.67%)
  • Johns Hopkins (16.67%)
  • Joseph Silk (16.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Peabody Institute ↗
Str: 64Inf: 1
Johns Hopkins University ↗
Str: 16Inf: 1
Duncan S. Johnson ↗
Str: 4Inf: 1
Johns Hopkins ↗
Str: 16Inf: 1
Joseph Silk ↗
Str: 4Inf: 1
Weakest Connections (Lowest Multipliers)
Joseph Silk ↗
Str: 4Inf: 1
Johns Hopkins ↗
Str: 16Inf: 1
Duncan S. Johnson ↗
Str: 4Inf: 1
Johns Hopkins University ↗
Str: 16Inf: 1
Peabody Institute ↗
Str: 64Inf: 1

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

Outbound Tags (1)
Johns Hopkins University
BROKEN LINK
Inbound Posts (1)
No other posts link to this one yet.
Last calculated: Jul 25, 12:40 AM
Baltimore, Maryland, United States28

Related Content

Educations

  • Peabody Institute
  • Johns Hopkins University

Figures

  • Duncan S. Johnson
  • Johns Hopkins
  • Joseph Silk