online-social-network-analysis-election-prediction
Online Social Network Analysis Election Prediction
https://github.com/aloncrack7/online-social-network-analysis-election-prediction
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 12 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.3%) to scientific vocabulary
Repository
Online Social Network Analysis Election Prediction
Basic Info
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
Online Social Network Analysis Election Prediction
Citation
APA
Ardura Carnicero, A., García Velasco, A., Lozano Arias, P., & Peris Acedo, R. Online Social Network Analysis Election Prediction [Computer software]. https://github.com/aloncrack7/Online-Social-Network-Analysis-Election-Prediction
bibtext
@software{Ardura_Carnicero_Online_Social_Network,
author = { Ardura Carnicero, Antonio and García Velasco, Alonso and Lozano Arias, Pablo and Peris Acedo, Roberto },
license = {GPL-3.0},
title = {{Online Social Network Analysis Election Prediction }},
url = {https://github.com/aloncrack7/Online-Social-Network-Analysis-Election-Prediction}
}
Code
CA50datasetcleaning_Deprecated.py
First iteration of the clean up process (Deprecated)
Project3.ipynb
This code is used to join all the datasets together and obtain matrix correlations in order to provide a correct Exploratory Data Analysis.
DataExtractionGIS.ipynb
- District shape
- District inside the county
- District inside the county with millitary bases
- District voting places
- District voting places and census blocks
- District voting places voronoi diagram
- District hospitals
- District Naloxone distribution points
- District precints
- Election results extraction
- Join of both data soruces
- Result over maps for Presindential and House of Representatives 2020
Bibliography
MIT Election Data and Science Lab: Presidential elections 2020
bittext
@data{DVN/NT66Z3_2022,
author = {MIT Election Data and Science Lab},
publisher = {Harvard Dataverse},
title = {{Precinct-Level Returns 2020 by Individual State}},
UNF = {UNF:6:aViWPnsxmDD+s1GuFrrdpA==},
year = {2022},
version = {V6},
doi = {10.7910/DVN/NT66Z3},
url = {https://doi.org/10.7910/DVN/NT66Z3}
}
MIT Election Data and Science Lab: House of Representatives elections 2020
bittext
@data{DVN/VLGF2M_2022,
author = {MIT Election Data and Science Lab},
publisher = {Harvard Dataverse},
title = {{U.S. House of Representatives Precinct-Level Returns 2020}},
UNF = {UNF:6:el4GWrWYnkYy3IwvBDGrtw==},
year = {2022},
version = {V4},
doi = {10.7910/DVN/VLGF2M},
url = {https://doi.org/10.7910/DVN/VLGF2M}
}
San Diego Shapefiles
bibtext
@misc{sandag_geo_portal,
author = {{San Diego Association of Governments (SANDAG)}},
title = {{San Diego Regional Geographic Information Portal}},
year = {2023},
url = {https://geo.sandag.org/portal/apps/experiencebuilder/experience/?id=fad9e9c038c84f799b5378e4cc3ed068},
}
Census
bibtext
@misc{us_census_bureau,
author = {{U.S. Census Bureau}},
title = {{United States Census Bureau}},
year = {2024},
url = {https://www.census.gov},
}
Owner
- Login: aloncrack7
- Kind: user
- Repositories: 1
- Profile: https://github.com/aloncrack7
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: 'Online Social Network Analysis Election Prediction '
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Antonio
family-names: ' Ardura Carnicero'
email: aardura@hawk.iit.edu
affiliation: Student Illinois Institute of Technology
- given-names: Alonso
family-names: García Velasco
affiliation: Student Illinois Institute of Technology
email: agarciavelasco@hawk.iit.edu
- email: plozano1@hawk.iit.edu
given-names: Pablo
family-names: Lozano Arias
affiliation: Student Illinois Institute of Technology
- given-names: 'Roberto '
family-names: Peris Acedo
email: rperisacedo@hawk.iit.edu
affiliation: Student Illinois Institute of Technology
repository-code: >-
https://github.com/aloncrack7/Online-Social-Network-Analysis-Election-Prediction
license: GPL-3.0
GitHub Events
Total
- Release event: 1
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- Push event: 44
- Create event: 3
Last Year
- Release event: 1
- Member event: 3
- Push event: 44
- Create event: 3