Maximizing the Spread of Social Norms in Social Networks
Abstract
Social norms are a core concept in social sciences and play a critical role in regulating a society’s behaviors. Organizations and even governmental bodies use this social component to tackle varying challenges in society, as it is a less costly alternative to establishing new laws and regulations. Social networks are an important and effective infrastructure in which social norms can evolve. Therefore there is a need for theoretical models for studying the spread of social norms in social networks.
Presenter
Mohammad Amin Fazli
Assistant Professor, Sharif University of Technology
Mohammad Amin Fazli received his BSc in hardware engineering and MSc and PhD in software engineering from Sharif University of Technology, in 2009, 2011 and 2015 respectively. He is currently an assistant professor at Sharif University of Technology and R&D Supervisor at Sharif's Intelligent Information Solutions Center resided in this university. His research interests include Game Theory, Combinatorial Optimization, Computational Business and Economics, Graphs and Combinatorics, Complex networks and Dynamical Systems.