Social Network Analysis
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Updated
Apr 22, 2020 - Jupyter Notebook
Social Network Analysis
Our group capstone project site for UC Berkeley's MIDS W210/Capstone.
Source code for blog post at https://hautahi.com/im_ris
Experimental repo for paper: https://doi.org/10.26599/BDMA.2024.9020010
Code for simulations concerning single player Ising Influence Maximisation as well as competitive optimisation structured as a simultaneous or a sequential game.
A visualisation tool to assess the spread of influence.
Unofficial Python Implementation of "Maximizing the Spread of Influence through a Social Network"
A repository to supplement the paper "Modeling the Spread of Infectious Diseases through Influence Maximization".
Solving the influence maximization problem with independent cascade diffusion model.
Identifying Influential Individuals on Large-Scale Social Networks
Influence Maximization for Partially Observable Networks with Varying Degree Assortativities
in this repo. greedy hill climbing and lazy hill climbing is implemented from scratch with only numpy and scipy library. this project is tested on the facebook101-Princeton dataset.
An analysis on the cascading behavior between Taiwanese Instagram food bloggers, based on Asynchronous Independent Cascade Model (AsIC) and Influence Maximization Model.
Influence Maximization on a graph (social network)
Course project for CPSC534: Topics in Data Science & Management: Social Networks at UBC 2017
Influence Maximization in Near-Linear Time: A Martingale Approach Scala implementation
Experimental repo for paper: 10.1109/DSAA54385.2022.10032425
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