Events Calendar

Introductory Network Science

Introductory Network Science

Event time: 
Friday, November 8, 2019 - 10:00am
Yale Institute for Network Science See map
17 Hillhouse Ave, 3rd floor
New Haven, CT 06511
Event description: 

Network Science Special Seminar

Christoph Riedl
Associate Professor, Network Science Institute, Northeastern University
Visiting Fellow, Yale University

Description: The lecture is an interdisciplinary introduction to the emerging area of network science that have applications in a variety of domains including communication networks, power grids networks, transportation networks, social networks and biological Networks. This lecture uses ideas of network science and social network theories to examine the connectivity and complexity in the world around us. How do people influence each other, bargain with each other, exchange information (or germs), and interact online? This lecture introduces the fundamentals of network science and social network analysis. 

This lecture will teach you to see the world in a new way: using a network perspective. We will cover how to represent networks as graphs, how to measure important attributes of the network overall (e.g., communities) and of nodes in the network such (e.g., centrality), and how processes on networks shape outcomes like the spread of a disease. After the lecture you will have an idea about what made Steve Jobs so successful, how Google changed the way find information on the internet, and some artists are more successful than others. 

Instructor Bio: Christoph Riedl is associate professor for Information Systems and Network Science at the D’Amore-McKim School of Businessat Northeastern University. He hold a joint appointment with the Khoury College of Computer Sciencesand is a core faculty member at the Network Science Institute. He is a fellow at theInstitute for Quantitative Social Science(IQSS) at Harvard. He is recipient of a Young Investigator Award (YIP) from the Army Research Office (ARO) for his work on social networks in collaborative decision-making. Before joining Northeastern University he was a post-doctoral fellow at Harvard Business School and IQSS. He received a PhD in Information Systems from Technische Universität München (TUM), Germany in 2011, a MSc in Information Systems in 2007, and a BSc in Computer Science in 2006. His research interests are to understand how social and economic networks shape collaboration and decision-making on the individual, group, and community level.