Pinned Repositories
choropleth_map_protests
The choropleth map shows the number of protests in different states from 1/15/2017 to 1/31/2021. California and New York show a substantially more significant number of protests (N~2700). The number is roughly even across the midwestern US.
Co-occurrence-Networks
The network is designed to gauge the multi-linked relationship among keywords in the James Bond novel From Russia With Love. The nodes represent the particular keywords, whereas the edges represent a co-occurrence pattern in a sentence. Each edge has an attribute called weight, which signifies the frequency of the combination. The keywords are cherrypicked based on their vertex degrees. All stop words and punctuations are filtered out before processing natural language data. The txt. file can be found here: https://www.fadedpage.com/showbook.php?pid=20160104
coursera-sna
Social Network Analysis. Lecture Materials & Video (march 2013)
dotfiles
Comfy Config for Python
ergm
Fit, Simulate and Diagnose Exponential-Family Models for Networks
Java-Programs
Short Java Projects for Beginners
Random-Network-Generator
The script generates a random network for friendship analysis
Small-World-Social-Networks
A way to model networks with both high average clustering and small average shortest path length using the Watts and Strogatz algorithm
SQL_Database
Collaborator: github@ThetNoe. The project aims to create a user-friendly database that a farm could leverage to store and analyze operational data. Various functions and stored procedures are embedded within the database.
Text-Comparison
Text Comparison compares different writing samples and gives a probability that they are written by the same author. Hypercube returns the spatial position of a tesseract. In geometry, the tesseract is the four-dimensional representation of the (3D) cube.
michaelGRU's Repositories
michaelGRU/choropleth_map_protests
The choropleth map shows the number of protests in different states from 1/15/2017 to 1/31/2021. California and New York show a substantially more significant number of protests (N~2700). The number is roughly even across the midwestern US.
michaelGRU/Co-occurrence-Networks
The network is designed to gauge the multi-linked relationship among keywords in the James Bond novel From Russia With Love. The nodes represent the particular keywords, whereas the edges represent a co-occurrence pattern in a sentence. Each edge has an attribute called weight, which signifies the frequency of the combination. The keywords are cherrypicked based on their vertex degrees. All stop words and punctuations are filtered out before processing natural language data. The txt. file can be found here: https://www.fadedpage.com/showbook.php?pid=20160104
michaelGRU/coursera-sna
Social Network Analysis. Lecture Materials & Video (march 2013)
michaelGRU/dotfiles
Comfy Config for Python
michaelGRU/ergm
Fit, Simulate and Diagnose Exponential-Family Models for Networks
michaelGRU/Java-Programs
Short Java Projects for Beginners
michaelGRU/Random-Network-Generator
The script generates a random network for friendship analysis
michaelGRU/Small-World-Social-Networks
A way to model networks with both high average clustering and small average shortest path length using the Watts and Strogatz algorithm
michaelGRU/SQL_Database
Collaborator: github@ThetNoe. The project aims to create a user-friendly database that a farm could leverage to store and analyze operational data. Various functions and stored procedures are embedded within the database.
michaelGRU/Text-Comparison
Text Comparison compares different writing samples and gives a probability that they are written by the same author. Hypercube returns the spatial position of a tesseract. In geometry, the tesseract is the four-dimensional representation of the (3D) cube.
michaelGRU/MATH_383
michaelGRU/michaelgru.github.io
michaelGRU/network_analysis_in_R
Materials for DSI tutorial on network analysis using R
michaelGRU/pandas_Stuff
michaelGRU/PHYSICS_434_Higgs_Analysis
The report scrutinizes the standard model H in pp collisions at √s = 13 TeV using pseudo-experiment training data to optimize event selection.
michaelGRU/Protest-Attendees-Count-by-Event-Types
An animation of bar chart race of protest attendees in the US in 2019~2020.
michaelGRU/quanteda
An R package for the Quantitative Analysis of Textual Data
michaelGRU/stLDA-C_public
Single-topic LDA (DMM) with unsupervised clustering
michaelGRU/stm
An R Package for the Structural Topic Model
michaelGRU/Student-and-Educator-Perceptions-of-Online-Classes
This is the analysis to the data collected in a survey to find out the differences in perceptions of online classes among teachers and students. Data Source: Pulickamadhom Sreedhar, Sreehari, 2021, "Student and Educator Perceptions of Online Classes", https://doi.org/10.7910/DVN/2AAVSX, Harvard Dataverse, V1
michaelGRU/temp
michaelGRU/temp_pic
michaelGRU/textnets
R package to perform automated text analysis using network techniques
michaelGRU/world_bank_data