Multiple Eigenvalue Tracking Algorithm: Optimize the decreasing the leading eigenvalues in large graphs
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Updated
May 22, 2018 - MATLAB
Multiple Eigenvalue Tracking Algorithm: Optimize the decreasing the leading eigenvalues in large graphs
LearnMelt: Learning to Minimize Dissemination on Large Graphs
This repository contains FDP'18 presentations and R scripts.
Implementation of the Mineral algorithm as described in the paper, Mineral: Multi-modal Network Representation Learning.
This is the repositry for the materials used for our paper "Information Diffusion Enhanced by Multi-Task Peer Prediction"
Code and Model Information for to support the paper: Yuan, X. and Crooks, A.T. (2017), From Cyber Space Opinion Leaders and the Spread of Anti-Vaccine Extremism to Physical Space Disease Outbreaks, SBP-BRIMS, pp. 114-119.
The files in this repo were used in the analysis for the paper Branching process descriptions of information cascades on Twitter.
This is the link for codes and data used in Cascade2vec
Assignments of Complex System Modeling Class
Agent-Based-Modelling Models
This study investigates whether considering limited human attention would facilitate information propagation in online social networks.
Information Diffusion Network Analysis
ChronoGraph is a temporal graph traversal platform enabling efficient information diffusion analyses over time. The repository reproduces the temporal syntax and the temporal supports presented in the papers in Publication section.
Code and data for the paper: "Message Distortion in Information Cascades" (TheWebConf2019)
Social network analysis code examples for PyCon 2019 talk
A framework for REcommending LInks in SOcial Networks
The code of the paper "Pairwise-interactions-based Bayesian Inference of Network Structure from Cascades"
Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction
TKDE 2021. CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction.
An analysis on the cascading behavior between Taiwanese Instagram food bloggers, based on Asynchronous Independent Cascade Model (AsIC) and Influence Maximization Model.
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