Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Martha Seavey HoytMonument to insurance agent in DonetskagencyClaude C. RamsayAnna KlemanCharlotte DuranteMonica De La CruzTom FinkJim MatherlyPaul Nakadate

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 14 hours ago
Comments: 0

Eileen Lally
Last login: 1 week ago
Comments: 0

Özkan Konu
Last login: 4 weeks ago
Comments: 0

Anne Marie Bevan
Last login: 4 weeks ago
Comments: 0

Kevin Greene
Last login: 1 month ago
Comments: 0

Seán Millar
Last login: 1 month ago
Comments: 0

Khuda Buksh

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

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.83% of network
(110)
Strength Breakdown
  • This Post (0.83%)
  • Anna Kleman (0.83%)
  • Charlotte Durante (0.83%)
  • Jim Matherly (0.83%)
  • Martha Seavey Hoyt (0.83%)
  • Monica De La Cruz (0.83%)
  • Monument to insurance agent in Donetsk (0.83%)
  • Paul Nakadate (0.83%)
  • Tom Fink (0.83%)
  • Claude C. Ramsay (0.83%)
Dominant nodes (excluded from chart)
agency 91.67%
Influence Score
i
9.01% of network
(1.1)
Influence Breakdown
  • This Post (9.01%)
  • agency (9.91%)
  • Anna Kleman (9.01%)
  • Charlotte Durante (9.01%)
  • Jim Matherly (9.01%)
  • Martha Seavey Hoyt (9.01%)
  • Monica De La Cruz (9.01%)
  • Monument to insurance agent in Donetsk (9.01%)
  • Paul Nakadate (9.01%)
  • Tom Fink (9.01%)
  • Claude C. Ramsay (9.01%)
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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 110 [agency] *
                            1 [Anna Kleman] *
                            1 [Charlotte Durante] *
                            1 [Jim Matherly] *
                            1 [Martha Seavey Hoyt] *
                            1 [Monica De La Cruz] *
                            1 [Monument to insurance agent in Donetsk] *
                            1 [Paul Nakadate] *
                            1 [Tom Fink] *
                            1 [Claude C. Ramsay]
                           )

                         = 110

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.1 [agency] *
                            1 [Anna Kleman] *
                            1 [Charlotte Durante] *
                            1 [Jim Matherly] *
                            1 [Martha Seavey Hoyt] *
                            1 [Monica De La Cruz] *
                            1 [Monument to insurance agent in Donetsk] *
                            1 [Paul Nakadate] *
                            1 [Tom Fink] *
                            1 [Claude C. Ramsay]
                           )

                         = 1.1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 10 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.83% (110 overall)
  • This Post (0.83%)
  • Anna Kleman (0.83%)
  • Charlotte Durante (0.83%)
  • Jim Matherly (0.83%)
  • Martha Seavey Hoyt (0.83%)
  • Monica De La Cruz (0.83%)
  • Monument to insurance agent in Donetsk (0.83%)
  • Paul Nakadate (0.83%)
  • Tom Fink (0.83%)
  • Claude C. Ramsay (0.83%)
Dominant nodes (excluded from chart)
agency 91.67%
Influence Share (vs Direct Neighbours)
9.01% (1.1 overall)
  • This Post (9.01%)
  • agency (9.91%)
  • Anna Kleman (9.01%)
  • Charlotte Durante (9.01%)
  • Jim Matherly (9.01%)
  • Martha Seavey Hoyt (9.01%)
  • Monica De La Cruz (9.01%)
  • Monument to insurance agent in Donetsk (9.01%)
  • Paul Nakadate (9.01%)
  • Tom Fink (9.01%)
  • Claude C. Ramsay (9.01%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
agency ↗
Str: 110Inf: 1.1
Anna Kleman ↗
Str: 1Inf: 1
Charlotte Durante ↗
Str: 1Inf: 1
Jim Matherly ↗
Str: 1Inf: 1
Martha Seavey Hoyt ↗
Str: 1Inf: 1
Monica De La Cruz ↗
Str: 1Inf: 1
Monument to insurance agent in Donetsk ↗
Str: 1Inf: 1
Paul Nakadate ↗
Str: 1Inf: 1
Tom Fink ↗
Str: 1Inf: 1
Claude C. Ramsay ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Claude C. Ramsay ↗
Str: 1Inf: 1
Tom Fink ↗
Str: 1Inf: 1
Paul Nakadate ↗
Str: 1Inf: 1
Monument to insurance agent in Donetsk ↗
Str: 1Inf: 1
Monica De La Cruz ↗
Str: 1Inf: 1
Martha Seavey Hoyt ↗
Str: 1Inf: 1
Jim Matherly ↗
Str: 1Inf: 1
Charlotte Durante ↗
Str: 1Inf: 1
Anna Kleman ↗
Str: 1Inf: 1
agency ↗
Str: 110Inf: 1.1

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

Outbound Tags (1)
agency
Inbound Posts (1)
agency
Last calculated: Jun 16, 9:36 AM
18

Related Content

Topics

  • Martha Seavey Hoyt
  • Monica De La Cruz
  • Monument to insurance agent in Donetsk
  • Paul Nakadate
  • agency
  • Tom Fink
  • Anna Kleman
  • Claude C. Ramsay
  • Charlotte Durante
  • Jim Matherly