Measuring Attraction/Repulsion Changes in Sets: A Statistical Approach?

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Discussion Overview

The discussion revolves around analyzing changes in attraction and repulsion between items represented in symmetric matrices. Participants explore statistical and mathematical methods to quantify these changes across different conditions and subsets of data.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant seeks methods to determine whether changes in attraction/repulsion across matrices are significant and how to compare subsets of items.
  • Another participant requests sample data to clarify the inquiry.
  • Multiple matrices are provided, each representing different conditions, with emphasis on their symmetrical nature and the importance of off-diagonal elements.
  • Suggestions include transforming off-diagonal components into vectors for comparison, calculating residuals, and potentially applying weights to these residuals.
  • Another participant proposes comparing metrics or semimetrics by considering the distances between points, suggesting scaling and least squares methods for residuals.

Areas of Agreement / Disagreement

Participants express varying levels of understanding regarding the original inquiry and propose different methods for analysis. No consensus is reached on a specific statistical approach or methodology.

Contextual Notes

Participants note the matrices' dimensions and the significance of external conditions affecting the attraction/repulsion values, but these factors remain unresolved in the discussion.

fer2000
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Hello everybody!

I have a large set of items and, two-by-two, there exists some kind of attraction/repulsion that I have measured. I synthesize this information in a (nxn) matrix.
Under different circumstances this attraction/repulsion changes.

So, what kind of statistical/mathematical procedure can I use to measure whether the changes (for the whole set) are “large/small”, as well as if a subset of them (lets say the first ten items) the attraction is larger than in another subset (lets say the last ten items)?.

Thanks in advance
 
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Perhaps provide some sample data to help us understand what you are trying to get at?
 
My data are comprised in different matrices (each of the situations provide that information).
First one
x 1.3 -1.5 . . . . . .
1.3 x 1.2 . . . . . .
-1.5 1.2 x . . . . . .
. . . . . . . . . . . . . .

Second one
x 1.1 1.3 . . . . . .
1.1 x -0.2 . . . . . .
1.3 -0.2 x . . . . . .
. . . . . . . . . . . . . . .


Third one
x -0.1 0.3 . . . . . .
-0.1 x 0.4 . . . . . .
0.3 0.4 x . . . . . .
. . . . . . . . . . . . . . .


All of them are symmetrical and the diagonal does not make sense (I could write any number). Note that the dimension will be around 300 x 300 for each matrix.

How can I say if first one is closer (and how closer is) to second one than to third one (as well as any other combination)?

Thanks again.
 
My data are comprised in different matrices (each of the situations provide that information).
First one
x 1.3 -1.5 . . . . . .
1.3 x 1.2 . . . . . .
-1.5 1.2 x . . . . . .
. . . . . . . . . . . . . .

Second one
x 1.1 1.3 . . . . . .
1.1 x -0.2 . . . . . .
1.3 -0.2 x . . . . . .
. . . . . . . . . . . . . . .


Third one
x -0.1 0.3 . . . . . .
-0.1 x 0.4 . . . . . .
0.3 0.4 x . . . . . .
. . . . . . . . . . . . . . .


All of them are symmetrical and the diagonal does not make sense (I could write any number). Note that the dimension will be around 300 x 300 for each matrix.

1) How can I say if first one is closer (and how closer is) to second one than to third one (as well as any other combination)?
2) I care about an external condition, that is the same for all the pairs that generate the matrix (so, it has a single value for all the pairs in the matrix) , and I would like to know if the proximity could be related to that condition.


Thanks again.
 
I don't really get what you are trying to do with the matrices, but from what I understand:

(1) the matrices are symmetric

(2) only the off-diagonal components are important.

(3) they swing between negative and positive values.

Let me suggest some ideas? you could take the off-diagonal components and put them in a vector instead. Then instead of comparing 2 matrices, you compare 2 vectors.

Take the difference of the two vectors and call it the residual vector. If some entries are more important than others you can multiply each entry in the residual vector by different weights (assigned arbitrarily of course). Then take the modulus of this residual vector.
 
It sounds like you're trying to compare three metrics (or semimetrics): the abstract 'distances' between 300 points. Perhaps counting the diagonals as 0, scaling the matrices (multiplying each by a constant, if needed, so the numbers are around the same 'size') and then compare the least squares of the residuals.
 

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