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ml-net-gui's Introduction

License: GPL v3

multilevel BiNetViz

This repository holds the migration of code in three repositories which provided:

  1. A FeathersJS backend (in server/).
  2. A Nuxt.js frontend (in frontend/.
  3. A Flask auxiliary server to perform less trivial or computationally intensive calculations (in aux_server).

To bootstrap the system, your best friends are:

  1. The install and run targets in the Makefile for each of the components listed above. (e.g. make aux-server-install and make aux-server-run)
  2. The other targets in the Makefile are meant to help in specific situations.
  3. MongoDB management. Suggestion: install the Robo 3T, which was used throughout the development of this software.

This repository is proposed as separation of the multilevel strategies from the other visualization interfaces developed by the team. Thus, this repository only contains the initial versions of the interfaces (with boxes or hybrid edges), and should contain enhanced versions of them as they come into existence.

A an experimental collection of Meteor.js apps were developed using multilevel strategies for analysis, modification and harnessing of social networks. One of its versions, potentially having pure-javascript (no Python needed) implementations of networks measurements and multilevel representations, layouts, ploting with Pixi.js and animations, projections, WebGL particle system, sounds with Tone.js, and performance timing.

installation

The data visualization interfaces should be listed in the URL output by make frontend-install && make frontend-run. It needs the backend and auxiliary servers, thus: make backend-install && make backend-run and make aux-server-install && make aux-server-run. You'll probably use three terminals to monitor each of these components. Suggestion: use Byobu, specially if the server is kept in a remote machine or should be persistent.

For the visual analytics (intended) legacy app: make va-legacy-install && make va-legacy. Check visual_analytics_legacy/README.md to know of some links to visit and things to explore. A bare node.js version of this app is being put together in visual_analytics/, to use it: make va-install && make va.

provenance

This repo steams from three repos, which will be refactored and/or split in other repos:

license

GPL v3 (GNU General Public License, vesion 3).

contact

Send me a message, open an issue in this repo, or message Cristina Ferreira de Oliveira and Alan Valejo, researchers at ICMC/USP (VICG and Labic)

:::

ml-net-gui's People

Contributors

ttm avatar

Stargazers

有风的地方 avatar Konstantinn Bonnet avatar

Watchers

James Cloos avatar

ml-net-gui's Issues

clening and refactoring of code

Separation of the code needed was performed to an extent. Some of the code in the three components are not needed. And most of what is needed should need refactoring. Thus: open files and organize info and routines in a reasonable way. Open tickets for them if needed.

implement canvas resize with window

Also, if the window is resized (just open the browser console), the canvas is not.
Implement canvas resize.

Document here, in code, or README the limitations, if any, of the final implementation.

retomada da escrita do artigo cientifico

pontos que temos no momento jah para adiantar:

  • descrever os artefatos: terceira dimensao, bouding box, arestas hibridas, como as tres formas que concebemos p representar mais de um nivel em uma soh imagem.
  • Eh necessario o layout em tempo real para arestas hibridas?
  • Experimentos: com o whole e um metodo novo de coarsening ("super-greedy"? ou "hiper-greedy" ou)?

resolver layout em tempo real para arestas hibridas

provavelmente: remover os layouts em tempo real implementados, utilizar Graphology ou NetworkxJS ou o que for razoavel para o momento.

Potenciais melhoras (posteriores ao artigo inicial):

  • calculos vetoriais em WebGL para as posicoes dos vertices.
  • desenvolvimento dos algoritmos minimos para layout de forcas.

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