This course will consist of three parts: 

learning through the lectures to cover the key concepts of theories 
and concepts in network science, including types of networks, 
mathematical representations of networks, measures and metrics of 
networks, the large-scale structure of networks, network models, 
processes on networks, and dynamics of networks; 

2. studying the state-of-the-art research papers published in the area of 
   network science; and 

3. writing a research paper with a topic in network science where the 
   topic can include social network analysis, information propagation 
   in social networks (e.g., fake news or false information propagation), 
   behavior adoptions in social networks, or networking / cybersecurity 
   problems that can be solved by network science theories/concepts.