Complex Influence Propagation based on Trust-aware Dynamic Linear Threshold Models

Oct 14, 2020
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Overview

This project is a web-based simulation environment for Friend-Foe-Dynamic-Linear-Threshold (F2DLT) Models presented for the first time at TrustCom 2018 and further discussed in Applied Network Science 2019 and at SEBD 2020

If you follow the above link you will be presented with a user-friendly interface, that allows you to create/upload a diffusion graph and to run a diffusion process.

As the diffusion unfolds, the platform will show you real-time statistics about the current diffusion phenomena.

Antonio Caliò
Antonio Caliò
Postdoctoral Researcher in the field of Graph Machine Learning

His research interests are related to many relevant computation problems in network/data science.

Related

Publications

A Framework for Complex Influence Propagation based on the F 2DLT Class of Diffusion Models

What are the key-features that enable an information diffusion model to explain the inherent complex dynamics of real-world propagation …
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Complex influence propagation based on trust-aware dynamic linear threshold models

To properly capture the complexity of influence propagation phenomena in real-world contexts, such as those related to viral marketing …
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Trust-Based Dynamic Linear Threshold Models for Non-competitive and Competitive Influence Propagation

What are the key-features that enable an information diffusion model to explain the inherent dynamic, and often competitive, nature of …
Project DOI