Skip to content

Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

John Jay College of Criminal Justice

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 3 days ago
Comments: 0

Francesca Ladybird
Last login: 2 months ago
Comments: 0

Matthew Leech
Last login: 2 months ago
Comments: 1

Jessica
Last login: 3 months ago
Comments: 0

Darragh Lennon
Last login: 3 months ago
Comments: 0

Cathal Kennedy
Last login: 3 months ago
Comments: 0

Haaren Hall

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

Alumni of John Jay College of Criminal Justice
Faculty of John Jay College

Analyzing Network Connections...

Network Profile

Overall Strength
i
25.00% of network
(3)
Strength Breakdown
  • This Post (25.00%)
  • John Jay College of Criminal Justice (75.00%)
Influence Score
i
25.00% of network
(3)
Influence Breakdown
  • This Post (25.00%)
  • John Jay College of Criminal Justice (75.00%)
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 1 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 3 [John Jay College of Criminal Justice]
                           )

                         = 3

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 3 [John Jay College of Criminal Justice]
                           )

                         = 3
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 1 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
25.00% (3 overall)
  • This Post (25.00%)
  • John Jay College of Criminal Justice (75.00%)
Influence Share (vs Direct Neighbours)
25.00% (3 overall)
  • This Post (25.00%)
  • John Jay College of Criminal Justice (75.00%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
John Jay College of Criminal Justice ↗
Str: 3Inf: 3
Weakest Connections (Lowest Multipliers)
John Jay College of Criminal Justice ↗
Str: 3Inf: 3

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

Outbound Tags (1)
John Jay College of Criminal Justice
Inbound Posts (1)
John Jay College of Criminal Justice
Last calculated: Oct 20, 9:45 AM
13

Related Content

Locations

  • John Jay College of Criminal Justice

A Muso community