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Curve approximationIsoperimetric inequalityApproximationDiscrete dipole approximationInequalityLinear programmingUncertainty principleBernoulli inequalityTriangle inequalityWien approximation

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Related Images

Inequality symbols

Network Profile

Overall Strength
i
3.28% of network
(3.61M)
Strength Breakdown
  • This Post (3.28%)
  • Isoperimetric inequality (3.28%)
  • Linear programming (3.28%)
  • Discrete dipole approximation (1.64%)
  • Bernoulli inequality (0.82%)
  • Triangle inequality (0.82%)
  • Jordan's inequality (0.82%)
  • Curve approximation (0.82%)
  • Almost integer (0.82%)
  • Wien approximation (0.82%)
  • ≅ (0.82%)
Dominant nodes (excluded from chart)
Inequality 40.16%Approximation 29.51%Uncertainty principle 13.11%
Influence Score
i
6.67% of network
(2)
Influence Breakdown
  • This Post (6.67%)
  • Discrete dipole approximation (13.33%)
  • Inequality (6.67%)
  • Bernoulli inequality (6.67%)
  • Isoperimetric inequality (6.67%)
  • Linear programming (6.67%)
  • Uncertainty principle (6.67%)
  • Triangle inequality (6.67%)
  • Jordan's inequality (6.67%)
  • Approximation (6.67%)
  • Curve approximation (6.67%)
  • Almost integer (6.67%)
  • Wien approximation (6.67%)
  • ≅ (6.67%)
Direct Connections 4

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, 2) = 2

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1

// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 4 *
                           ( 2 [Discrete dipole approximation] *
                            49 [Inequality] *
                            1 [Bernoulli inequality] *
                            4 [Isoperimetric inequality] *
                            4 [Linear programming] *
                            16 [Uncertainty principle] *
                            1 [Triangle inequality] *
                            1 [Jordan's inequality] *
                            36 [Approximation] *
                            1 [Curve approximation] *
                            1 [Almost integer] *
                            1 [Wien approximation] *
                            1 [≅]
                           )

                         = 3.61M

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 2 [Discrete dipole approximation] *
                            1 [Inequality] *
                            1 [Bernoulli inequality] *
                            1 [Isoperimetric inequality] *
                            1 [Linear programming] *
                            1 [Uncertainty principle] *
                            1 [Triangle inequality] *
                            1 [Jordan's inequality] *
                            1 [Approximation] *
                            1 [Curve approximation] *
                            1 [Almost integer] *
                            1 [Wien approximation] *
                            1 [≅]
                           )

                         = 2
Outbound 2 Tags on post
Inbound 2 Posts tagging this
Connections 13 Total nodes
Base Node Strength 4
Base Node Influence 1
Strength Share (vs Direct Neighbours)
3.28% (3.61M overall)
  • This Post (3.28%)
  • Isoperimetric inequality (3.28%)
  • Linear programming (3.28%)
  • Discrete dipole approximation (1.64%)
  • Bernoulli inequality (0.82%)
  • Triangle inequality (0.82%)
  • Jordan's inequality (0.82%)
  • Curve approximation (0.82%)
  • Almost integer (0.82%)
  • Wien approximation (0.82%)
  • ≅ (0.82%)
Dominant nodes (excluded from chart)
Inequality 40.16%Approximation 29.51%Uncertainty principle 13.11%
Influence Share (vs Direct Neighbours)
6.67% (2 overall)
  • This Post (6.67%)
  • Discrete dipole approximation (13.33%)
  • Inequality (6.67%)
  • Bernoulli inequality (6.67%)
  • Isoperimetric inequality (6.67%)
  • Linear programming (6.67%)
  • Uncertainty principle (6.67%)
  • Triangle inequality (6.67%)
  • Jordan's inequality (6.67%)
  • Approximation (6.67%)
  • Curve approximation (6.67%)
  • Almost integer (6.67%)
  • Wien approximation (6.67%)
  • ≅ (6.67%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Discrete dipole approximation ↗
Str: 2Inf: 2
Inequality ↗
Str: 49Inf: 1
Bernoulli inequality ↗
Str: 1Inf: 1
Isoperimetric inequality ↗
Str: 4Inf: 1
Linear programming ↗
Str: 4Inf: 1
Uncertainty principle ↗
Str: 16Inf: 1
Triangle inequality ↗
Str: 1Inf: 1
Jordan's inequality ↗
Str: 1Inf: 1
Approximation ↗
Str: 36Inf: 1
Curve approximation ↗
Str: 1Inf: 1
Almost integer ↗
Str: 1Inf: 1
Wien approximation ↗
Str: 1Inf: 1
≅ ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
≅ ↗
Str: 1Inf: 1
Wien approximation ↗
Str: 1Inf: 1
Almost integer ↗
Str: 1Inf: 1
Curve approximation ↗
Str: 1Inf: 1
Approximation ↗
Str: 36Inf: 1
Jordan's inequality ↗
Str: 1Inf: 1
Triangle inequality ↗
Str: 1Inf: 1
Uncertainty principle ↗
Str: 16Inf: 1
Linear programming ↗
Str: 4Inf: 1
Isoperimetric inequality ↗
Str: 4Inf: 1
Bernoulli inequality ↗
Str: 1Inf: 1
Inequality ↗
Str: 49Inf: 1
Discrete dipole approximation ↗
Str: 2Inf: 2

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

Outbound Tags (2)
Approximation
Inequality
Inbound Posts (2)
Inequality
Approximation
Last calculated: Sep 1, 12:43 PM
28

Related Content

Subtopics

  • Uncertainty principle
  • Inequality

Topics

  • Isoperimetric inequality
  • Almost integer
  • Linear programming
  • Wien approximation
  • ≅
  • Triangle inequality
  • Jordan's inequality
  • Approximation
  • Curve approximation
  • Bernoulli inequality
  • Discrete dipole approximation