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)
Code for Influence Maximization Problem
Source code for blog post at https://hautahi.com/im_greedycelf
Algorithms for online influence maximization
Implementation of Influence Maximisation on a graph dataset.
Temporal IMLinUCB - a solution for Online Influence Maximization problem in Temporal Networks (based on IMLinUCB)
This telegram bot manages an instagram engagement group maintaining a current list of active users
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
An analysis on the cascading behavior between Taiwanese Instagram food bloggers, based on Asynchronous Independent Cascade Model (AsIC) and Influence Maximization Model.
Evaluation and improvement of cascade diffusion robustness against node attacks.
Our group capstone project site for UC Berkeley's MIDS W210/Capstone.
Influential nodes identification & CELF implementation
We use gpu to accelerate the influence-maximization diffusion, which can make it faster more than 10 times than before
This repository contains a complimentary code for the article "Content-based Network Influence Probabilities: Extraction and Application". The repository contains trained dataset, solvers for the node immunization problem, code for crawling and downloading VK social network, and script for extracting influence probabilities based on the download…
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