Tracking digital footprints with network science
The SI community is invited to hear candidates for faculty openings at the School.
Jukka-Pekka Onnela (Social Computing opening)
“Harnessing Network Science to Reveal Our Digital Footprints”
Monday, March 21
Ehrlicher Room, 3100 North Quad
Jukka-Pekka “JP” Onnela is a network scientist interested in a broad range of theoretical and applied network problems. He is completing his second year as a postdoctoral fellow at Harvard Medical School. From 2008-09, he spent one year as a Fulbright Visiting Scholar at the Harvard Kennedy School working on networks, and prior to that, held a two-year research fellowship at Oxford University in the Physics Department and the Business School. He completed his Ph.D. in network science in 2006. His dissertation, “Complex Networks in the Study of Financial and Social Systems,” won the dissertation of the year prize at Helsinki University of Technology.
He has provided the following abstract of his talk:
“Network science is an interdisciplinary endeavor, with methods and applications drawn from across the natural, social, and information sciences. In addition to theoretical developments, electronic databases currently provide detailed records of human communication and interaction patterns, offering novel avenues to map and explore the structure of social networks. I will talk about the structure of a social network based on the cell phone communication patterns of millions of individuals, and what implications it has for diffusion processes on social networks. I will also discuss the algorithmic detection of tightly connected groups of nodes in networks, a prominent problem in network science known as community detection. After introducing the theoretical framework, I will demonstrate how the introduced multi-slice method can be used to detect community structure in a general setting encompassing networks that evolve overtime, have multiple types of links, and exhibit structure at multiple scales.”Events, Faculty