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.
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".
Experimental repo for paper: https://doi.org/10.26599/BDMA.2024.9020010
Source code for blog post at https://hautahi.com/im_ris
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
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
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)
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