Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Jason Wade
Lifehouse
jason-wadeØzwald

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 3 days ago
Comments: 0

Eileen Lally
Last login: 2 weeks ago
Comments: 0

Özkan Konu
Last login: 4 weeks ago
Comments: 0

Anne Marie Bevan
Last login: 1 month ago
Comments: 0

Kevin Greene
Last login: 1 month ago
Comments: 0

Seán Millar
Last login: 1 month ago
Comments: 0

Blyss (3)

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

Connected Bands/Artists

  • Øzwald
  • Lifehouse
    Lifehouse band photo

Connected Musicians

  • Jason Wade
    Jason Wade band photo
  • jason-wade

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.78% of network
(25.9K)
Strength Breakdown
  • This Post (0.78%)
  • jason-wade (3.52%)
  • Jason Wade (1.17%)
  • Øzwald (0.78%)
Dominant nodes (excluded from chart)
Lifehouse 93.75%
Influence Score
i
8.42% of network
(0.7031)
Influence Breakdown
  • This Post (8.42%)
  • Jason Wade (50.53%)
  • jason-wade (16.84%)
  • Lifehouse (15.79%)
  • Øzwald (8.42%)
Direct Connections 3

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, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 2 = 2
Base_Influence (IV) = $inbound / $outbound = 1 / 2 = 0.5

// 3. Exponential Network Values (accumulating 4 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 2 *
                           ( 3 [Jason Wade] *
                            9 [jason-wade] *
                            240 [Lifehouse] *
                            2 [Øzwald]
                           )

                         = 25.9K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 0.5 *
                           ( 3 [Jason Wade] *
                            1 [jason-wade] *
                            0.9375 [Lifehouse] *
                            0.5 [Øzwald]
                           )

                         = 0.7031
Outbound 1 Tags on post
Inbound 2 Posts tagging this
Connections 4 Total nodes
Base Node Strength 2
Base Node Influence 0.5
Strength Share (vs Direct Neighbours)
0.78% (25.9K overall)
  • This Post (0.78%)
  • jason-wade (3.52%)
  • Jason Wade (1.17%)
  • Øzwald (0.78%)
Dominant nodes (excluded from chart)
Lifehouse 93.75%
Influence Share (vs Direct Neighbours)
8.42% (0.7031 overall)
  • This Post (8.42%)
  • Jason Wade (50.53%)
  • jason-wade (16.84%)
  • Lifehouse (15.79%)
  • Øzwald (8.42%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Jason Wade ↗
Str: 3Inf: 3
jason-wade ↗
Str: 9Inf: 1
Lifehouse ↗
Str: 240Inf: 0.9375
Øzwald ↗
Str: 2Inf: 0.5
Weakest Connections (Lowest Multipliers)
Øzwald ↗
Str: 2Inf: 0.5
Lifehouse ↗
Str: 240Inf: 0.9375
jason-wade ↗
Str: 9Inf: 1
Jason Wade ↗
Str: 3Inf: 3

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

Outbound Tags (1)
jason-wade
Inbound Posts (2)
Jason Wade
BROKEN LINK
jason-wade
Last calculated: Jun 18, 4:02 PM
20

Related Content

No related content found.