Science Score: 44.0%

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

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic links in README
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Unable to calculate vocabulary similarity
Last synced: 7 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: thbl2012
  • Language: Python
  • Default Branch: main
  • Size: 13.7 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed over 2 years ago
Metadata Files
Citation

Owner

  • Login: thbl2012
  • Kind: user

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: 'The Power of Few phenomenon: the sparse case simulations'
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Linh
    name-particle: H B
    family-names: Tran
    email: thbl.2012@gmail.com
    affiliation: Yale University
    orcid: 'https://orcid.org/0009-0005-0492-0343'
identifiers:
  - type: url
    value: >-
      https://github.com/thbl2012/The_Power_of_Few_sparse_case.git
    description: The_Power_of_Few_sparse_case
repository-code: >-
  https://github.com/thbl2012/The_Power_of_Few_sparse_case.git
abstract: >-
  The source codes for the simulations in the 2023 paper
  "The Power of Few phenomenon: the sparse case" by Linh
  Tran and Van Vu.
keywords:
  - Random Graphs
  - Majority Dynamics
  - Probabilistic Combinatorics
  - Graph Theory
  - Simulation

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