XFlow - A Python Library for Graph Flow
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Updated
Jun 5, 2024 - Python
XFlow - A Python Library for Graph Flow
Social network analysis code examples for PyCon 2019 talk
Top-K Influential Nodes in Social Networks: A Game Perspective (SIGIR'17)
Source code for blog post at https://hautahi.com/im_greedycelf
Code for Influence Maximization Problem
Algorithms for online influence maximization
Python package for simulating spreading phenomena in complex networks
This telegram bot manages an instagram engagement group maintaining a current list of active users
Temporal IMLinUCB - a solution for Online Influence Maximization problem in Temporal Networks (based on IMLinUCB)
Implementation of Influence Maximisation on a graph dataset.
code in article Identifying influential nodes in social networks: A voting approach, link: https://doi.org/10.1016/j.chaos.2021.111309,
Source code for blog post at https://hautahi.com/im_ris
Influence Maximization in Near-Linear Time: A Martingale Approach Scala implementation
Python GPU Code for IM Algorithms
Influential nodes identification & CELF implementation
Evaluation and improvement of cascade diffusion robustness against node attacks.
Our group capstone project site for UC Berkeley's MIDS W210/Capstone.
An analysis on the cascading behavior between Taiwanese Instagram food bloggers, based on Asynchronous Independent Cascade Model (AsIC) and Influence Maximization Model.
We use gpu to accelerate the influence-maximization diffusion, which can make it faster more than 10 times than before
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