Information Diffusion Lecture
Network theory has very many application areas, where graphs are of primary importance, in e.g.,:
-Communication networks
-Epidemiology
-Systems Biology
-Social networks.
Social Media (e.g., Twitter, Facebook, Instagram, to name a few) has had a tremendous growth in the past 20 years. Social Media Analysis has very many applications, e.g.,:
-Recommendation Systems
-Sentiment Analysis
-Information Diffusion
-Web Search.
This lecture overviews Information Diffusion that has many applications in Network Theory, Web Science, Political Science, Marketing and Social Media Analytics. It covers the following topics in detail: Basics of Information Diffusion. Social Network Diffusion Models: Ising Model, Epidemic Diffusion Models, Cascade Models, Threshold Models, Game Theory Models, Nature-Inspired Model Influence Models, Influence Models.
Applications of Information Diffusion: Rumor-diffusion, Cross-Media Information Diffusion, Viral marketing. Emergency situation management, Collaborative filtering, Citation networks.