Name: Aliakbar Akbaritabar
Type: User
Company: @MPIDR
Bio: Computational Social Scientist.
Research Scientist @MPIDR
Passionate of #Rstats #Python
Into #Networks #SNA
Twitter: akbaritabar
Location: Rostock, Germany
Blog: akbaritabar.github.io
Aliakbar Akbaritabar's Projects
Replication materials for "A global perspective on social stratification in science"
AgentPy is an open-source framework for the development and analysis of agent-based models in Python.
Computational Social Scientist with background in Sociology | Postdoc at The MPl for Demographic Research | Intro, CV and archive of presentations by Aliakbar Akbaritabar, use under GPL-3.0 License
A list of awesome resources for Computational Social Science
A curated list of awesome network analysis resources.
A curated collection of resources on scholarly data analysis ranging from datasets, papers, and code about bibliometrics, citation analysis, and other scholarly commons resources.
Presentation: A Quantitative View of the Structure of Institutional Scientific Collaborations; Aliakbar Akbaritabar (Ali); Max Planck Institute for Demographic Research (MPIDR); Rostock, DEU; [email protected]; (@akbaritabar on Twitter)
https://berlin2019.satrdays.org
Materials for the day 4 of the course on "Topics in Digital and Computational Demography" on Using large-scale bibliometric data for demographic research; Advantages and pitfalls of using Scopus data to trace internal and international scholarly migration worldwide, Instructor: Aliakbar Akbaritabar
Materials for workshop on "Using bibliometric data in demographic research". A report here: https://iussp.org/en/using-bibliometric-data-demographic-research-0
Community Discovery Library - (for networkx and igraph)
Parallelised and out of memory data analysis using Dask in Python and DuckDB and DBeaver in SQL. Using example of publicly accessible ORCID 2019 XML files
Data visualization course at MPIDR
Erörtert die Fraktionierung auf Autorenebene und untersucht die nötige Datenqualität in WoS und Scopus
Scripts and data to reproduce the paper Global flows and rates of international migration of scholars
Data and code for performing analyses and plotting figures in "Global Migration of Scholars: Trends and Patterns Revealed by Bibliometric Data"
A brief application to work with google scholar and show coauthorship network
A simple function and sample data to build python-igraph graph from pandas DataFrame of vertices and edges tables which adds all node attributes to graph
A model following Andre Grow's Netlogo tutorial of Kalick & Hamilton, 1986 replicated using Mesa in Python. I have took impression and code from multiple Mesa examples in this prototype.
Mesa is an agent-based modeling framework in Python
NetLogo Models Library
LaTeX Beamer template based upon the 2021 Powerpoint templates
A simple example of Rmarkdown (RMD) presentation using Xaringan, trying to adopt MPIDR's colour schemes
Tie formation mechanisms in social networks; Network analysis; an introduction (with igraph in R)
List of social network surveys with links to questionnaires and codebooks