TKDE 2022. CCCL: Contrastive Cascade Graph Learning.

TKDE 2021. CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction.

An official implementation of "Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization"

An analysis on the cascading behavior between Taiwanese Instagram food bloggers, based on Asynchronous Independent Cascade Model (AsIC) and Influence Maximization Model.

Implementation of the Mineral algorithm as described in the paper, Mineral: Multi-modal Network Representation Learning.

The code of the paper "Pairwise-interactions-based Bayesian Inference of Network Structure from Cascades"

Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction

A framework for modeling information diffusion, polarization, synchronization, and echo chamber formation in complex networks.

I discuss and demonstrate the impact of seed nodes selection on information diffusion in a network. I then show how insights obtained by data mining on a network can be integrated with a LLM - like Claude - by building connectors using the Model Context Protocol (MCP) architecture so that users can ask network related questions in natural language.