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cognet

Analysis of response and belief dynamics using Quasinet framework

https://github.com/zeroknowledgediscovery/cognet

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (5.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Analysis of response and belief dynamics using Quasinet framework

Basic Info
  • Host: GitHub
  • Owner: zeroknowledgediscovery
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 131 MB
Statistics
  • Stars: 1
  • Watchers: 4
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created almost 5 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation

README.rst 

===============
Cognet
===============

.. image:: https://zenodo.org/badge/388924904.svg
   :target: https://zenodo.org/badge/latestdoi/388924904


.. image:: http://zed.uchicago.edu/logo/cognet_logo.png
   :height: 300px
   :scale: 25%
   :alt: cognet logo
   :align: center

.. class:: no-web no-pdf

:Info: Draft link will be posted here
:Author: ZeD@UChicago 
:Description: Application of quasinets (https://pypi.org/project/quasinet/) for analysis of emergent structures in survey responses with application in  adversarial contexts. 
:Documentation: https://zeroknowledgediscovery.github.io/cognet/


**Usage:**

.. code-block::

    from cognet.cognet import cognet as cg
    from cognet.dataFormatter import dataFormatter
    from cognet.model import model 


    data = dataFormatter(samples=GSSDATA,
                test_size=0.5)

Owner

  • Name: ZeD Labs
  • Login: zeroknowledgediscovery
  • Kind: organization
  • Email: ishanu@uchicago.edu
  • Location: University Of Chicago

The ZeD Lab @ uchicago | https://zdiscovery.slack.com/

GitHub Events

Total
Last Year

Committers

Last synced: over 3 years ago

All Time
  • Total Commits: 319
  • Total Committers: 6
  • Avg Commits per committer: 53.167
  • Development Distribution Score (DDS): 0.621
Top Committers
Name Email Commits
David Yang d****c@m****l 121
David Yang d****c@m****l 112
ishanu i****y@g****m 74
Ishanu Chattopadhyay i****c@u****m 8
Ishanu Chattopadhyay i****u@m****l 2
davidyangnyc 6****c@u****m 2

Issues and Pull Requests

Last synced: almost 2 years ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Issue Authors
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Issue Labels
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Packages

  • Total packages: 1
  • Total downloads:
    • pypi 448 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 121
  • Total maintainers: 2
pypi.org: cognet

Infering Emergent Dependency Structures In Survey Responses

  • Versions: 121
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 448 Last month
Rankings
Dependent packages count: 10.1%
Downloads: 16.1%
Forks count: 29.8%
Average: 31.0%
Stargazers count: 31.9%
Dependent repos count: 67.2%
Maintainers (2)
ishanuc davidyangnyc
Last synced: 12 months ago

Dependencies

cognet.egg-info/requires.txt pypi
  • joblib *
  • numpy *
  • pandas *
  • quasinet *
  • scikit-learn *
  • scipy *
setup.py pypi
  • joblib *
  • numpy *
  • pandas *
  • quasinet *
  • scikit-learn *
  • scipy *