Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Ford Foundation
Sukarno
Suharto
L.Reed Tripp
Henry Ford
Richard BisellBarbara RaabFord Foundation AtriumFord Foundation Auditorium

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 1 day ago
Comments: 0

Darragh Lennon
Last login: 2 days ago
Comments: 0

Cathal Kennedy
Last login: 1 week ago
Comments: 0

jacierlogyn
Last login: 3 weeks ago
Comments: 0

Eileen Lally
Last login: 2 months ago
Comments: 0

Özkan Konu
Last login: 2 months ago
Comments: 0

Ford Foundation Building

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

1304586._UY400_SS400_
cropped_henry_ford___getty
McGeorge Bundy
download (2)

Analyzing Network Connections...

Loading Map...

Nearest Locations

  • 📍
    CUNY0.2 km away
  • 📍
    Apple Grand Central0.6 km away
  • 📍
    General Electric Building0.8 km away
  • 📍
    Graduate Center, CUNY1.0 km away
  • 📍
    Graduate Center1.0 km away

Network Profile

Overall Strength
i
2.13% of network
(23.53B)
Strength Breakdown
  • This Post (2.13%)
  • Sukarno (28.67%)
  • Suharto (23.70%)
  • Henry Ford (21.33%)
  • L.Reed Tripp (11.61%)
  • Ford Foundation (11.61%)
  • Richard Bisell (0.24%)
  • Barbara Raab (0.24%)
  • Ford Foundation Atrium (0.24%)
  • Ford Foundation Auditorium (0.24%)
Influence Score
i
9.89% of network
(1.11)
Influence Breakdown
  • This Post (9.89%)
  • Henry Ford (10.99%)
  • L.Reed Tripp (9.89%)
  • Ford Foundation (9.89%)
  • Suharto (9.89%)
  • Sukarno (9.89%)
  • Richard Bisell (9.89%)
  • Barbara Raab (9.89%)
  • Ford Foundation Atrium (9.89%)
  • Ford Foundation Auditorium (9.89%)
Direct Connections 6

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, 3) = 3
$outbound = max(1, 3) = 3

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1

// 3. Exponential Network Values (accumulating 9 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 9 *
                           ( 90 [Henry Ford] *
                            49 [L.Reed Tripp] *
                            49 [Ford Foundation] *
                            100 [Suharto] *
                            121 [Sukarno] *
                            1 [Richard Bisell] *
                            1 [Barbara Raab] *
                            1 [Ford Foundation Atrium] *
                            1 [Ford Foundation Auditorium]
                           )

                         = 23.53B

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.11 [Henry Ford] *
                            1 [L.Reed Tripp] *
                            1 [Ford Foundation] *
                            1 [Suharto] *
                            1 [Sukarno] *
                            1 [Richard Bisell] *
                            1 [Barbara Raab] *
                            1 [Ford Foundation Atrium] *
                            1 [Ford Foundation Auditorium]
                           )

                         = 1.11
Outbound 3 Tags on post
Inbound 3 Posts tagging this
Connections 9 Total nodes
Base Node Strength 9
Base Node Influence 1
Strength Share (vs Direct Neighbours)
2.13% (23.53B overall)
  • This Post (2.13%)
  • Sukarno (28.67%)
  • Suharto (23.70%)
  • Henry Ford (21.33%)
  • L.Reed Tripp (11.61%)
  • Ford Foundation (11.61%)
  • Richard Bisell (0.24%)
  • Barbara Raab (0.24%)
  • Ford Foundation Atrium (0.24%)
  • Ford Foundation Auditorium (0.24%)
Influence Share (vs Direct Neighbours)
9.89% (1.11 overall)
  • This Post (9.89%)
  • Henry Ford (10.99%)
  • L.Reed Tripp (9.89%)
  • Ford Foundation (9.89%)
  • Suharto (9.89%)
  • Sukarno (9.89%)
  • Richard Bisell (9.89%)
  • Barbara Raab (9.89%)
  • Ford Foundation Atrium (9.89%)
  • Ford Foundation Auditorium (9.89%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Henry Ford ↗
Str: 90Inf: 1.11
L.Reed Tripp ↗
Str: 49Inf: 1
Ford Foundation ↗
Str: 49Inf: 1
Suharto ↗
Str: 100Inf: 1
Sukarno ↗
Str: 121Inf: 1
Richard Bisell ↗
Str: 1Inf: 1
Barbara Raab ↗
Str: 1Inf: 1
Ford Foundation Atrium ↗
Str: 1Inf: 1
Ford Foundation Auditorium ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Ford Foundation Auditorium ↗
Str: 1Inf: 1
Ford Foundation Atrium ↗
Str: 1Inf: 1
Barbara Raab ↗
Str: 1Inf: 1
Richard Bisell ↗
Str: 1Inf: 1
Sukarno ↗
Str: 121Inf: 1
Suharto ↗
Str: 100Inf: 1
Ford Foundation ↗
Str: 49Inf: 1
L.Reed Tripp ↗
Str: 49Inf: 1
Henry Ford ↗
Str: 90Inf: 1.11

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

Outbound Tags (3)
ford foundation
Ford Foundation Atrium
Ford Foundation Auditorium
Inbound Posts (3)
Ford Foundation
Ford Foundation Atrium
Ford Foundation Auditorium
Last calculated: Jul 23, 4:14 PM
New York, New York County, United States31

Related Content

Figures

  • Barbara Raab
  • L.Reed Tripp
  • Henry Ford
  • Suharto
  • Sukarno
  • Richard Bisell

Organisations

  • Ford Foundation

Topics

  • Ford Foundation Atrium
  • Ford Foundation Auditorium