A Social Network Analysis of the League of Nations' Intellectual Cooperation
An analysis of 9 terrorist attack networks across various countries between the years 2000 and 2005 using a Gephi network graph visualization with the goal of discovering patterns, similarities, connections, and potential relationships between one another’s actors.
Analysis of Centrality -Finding Most Influential Person in a Social Network
🌐This repository contains solutions to the course Applied Social Network Analysis in Python by University of Michigan.
Identify the counts of hashtags and mentioned accounts and display it as graph and wordcloud
Web scraping and web crawling using Scrapy to extract data from MyAnimeList.net to map a network and perform a Social Network Analysis using NetworkX.
Group project for the "Social Network Analysis" course of LUISS University (a.y. 2024-2025).
Measuring and managing network data; analyzing characteristics of individuals, relationships, and groups; predicting behaviours
Deep Learning - Convolutional Neural Networks (CNN) and social network analysis. Ponencia presentada en las XIII Jornadas de Sociologia. UBA, Agosto 2019
🧠 Transform conversations into a searchable knowledge base, enabling deeper insights and evolved thinking on AI and decision-making.
Game of Thrones: Social Network Analysis
Python program to suggest 'Friends You May Know' using anonymized facebook data that has been taken from https://snap.stanford.edu/data/
I tried to graph reddit based on moderator overlap.
Created Ego-Network Analysis Framework in C++, R, and Python, emphasizing overlapping clusters. Features CSV parsing, node adjacency, and connected component analysis. Systematic approach for persona graph construction elevates network analysis in domains like social network analysis.
Webscrapers for social sites, language, social network analysis, data science information-gathering, automation, public relations information search
Template for Collusive User Detection Tool project
A final assignment in which I had to prepare and analyse a social network. You need R and Gephi. Results in PDF. All descriptions in Polish.
Inholland Webscience Project
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