Muso

Directory About
Continue with Google
Continue with with Facebook

Top Related Posts

Quantum Mechanics
Covariance mappingCoNTubFranck-Condon principleMolecular mechanicsElectrical power conversionMolecular physics

Recent Logins

View Members Directory

Tadhg Kelleher
Last login: 1 day ago
Comments: 0

Darragh Lennon
Last login: 4 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

Luminescence

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

Molecular physics
Energy production
Energy conversion
Energy
Chemical bonding

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.20% of network
(34.8K)
Strength Breakdown
  • This Post (1.20%)
  • Covariance mapping (2.40%)
  • Electrical power conversion (0.60%)
  • CoNTub (0.60%)
  • Franck-Condon principle (0.60%)
  • Molecular mechanics (0.60%)
Dominant nodes (excluded from chart)
Quantum Mechanics 72.46%Molecular physics 21.56%
Influence Score
i
22.22% of network
(2)
Influence Breakdown
  • This Post (22.22%)
  • Electrical power conversion (11.11%)
  • Quantum Mechanics (11.11%)
  • CoNTub (11.11%)
  • Covariance mapping (11.11%)
  • Franck-Condon principle (11.11%)
  • Molecular mechanics (11.11%)
  • Molecular physics (11.11%)
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, 2) = 2
$outbound = max(1, 1) = 1

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

// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 2 *
                           ( 1 [Electrical power conversion] *
                            121 [Quantum Mechanics] *
                            1 [CoNTub] *
                            4 [Covariance mapping] *
                            1 [Franck-Condon principle] *
                            1 [Molecular mechanics] *
                            36 [Molecular physics]
                           )

                         = 34.8K

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 2 *
                           ( 1 [Electrical power conversion] *
                            1 [Quantum Mechanics] *
                            1 [CoNTub] *
                            1 [Covariance mapping] *
                            1 [Franck-Condon principle] *
                            1 [Molecular mechanics] *
                            1 [Molecular physics]
                           )

                         = 2
Outbound 2 Tags on post
Inbound 1 Posts tagging this
Connections 7 Total nodes
Base Node Strength 2
Base Node Influence 2
Strength Share (vs Direct Neighbours)
1.20% (34.8K overall)
  • This Post (1.20%)
  • Covariance mapping (2.40%)
  • Electrical power conversion (0.60%)
  • CoNTub (0.60%)
  • Franck-Condon principle (0.60%)
  • Molecular mechanics (0.60%)
Dominant nodes (excluded from chart)
Quantum Mechanics 72.46%Molecular physics 21.56%
Influence Share (vs Direct Neighbours)
22.22% (2 overall)
  • This Post (22.22%)
  • Electrical power conversion (11.11%)
  • Quantum Mechanics (11.11%)
  • CoNTub (11.11%)
  • Covariance mapping (11.11%)
  • Franck-Condon principle (11.11%)
  • Molecular mechanics (11.11%)
  • Molecular physics (11.11%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Electrical power conversion ↗
Str: 1Inf: 1
Quantum Mechanics ↗
Str: 121Inf: 1
CoNTub ↗
Str: 1Inf: 1
Covariance mapping ↗
Str: 4Inf: 1
Franck-Condon principle ↗
Str: 1Inf: 1
Molecular mechanics ↗
Str: 1Inf: 1
Molecular physics ↗
Str: 36Inf: 1
Weakest Connections (Lowest Multipliers)
Molecular physics ↗
Str: 36Inf: 1
Molecular mechanics ↗
Str: 1Inf: 1
Franck-Condon principle ↗
Str: 1Inf: 1
Covariance mapping ↗
Str: 4Inf: 1
CoNTub ↗
Str: 1Inf: 1
Quantum Mechanics ↗
Str: 121Inf: 1
Electrical power conversion ↗
Str: 1Inf: 1

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

Outbound Tags (2)
Energy conversion
BROKEN LINK
Molecular physics
Inbound Posts (1)
Molecular physics
Last calculated: Jul 25, 5:56 PM
20

Related Content

Subtopics

  • Franck-Condon principle
  • Molecular mechanics
  • Molecular physics
  • Quantum Mechanics
  • CoNTub
  • Covariance mapping

Topics

  • Electrical power conversion