[Seminar] Multi-Dimensional Data Analytics on Online Social Networks
University of California, Davis
■호스트: 권태경 교수(x9105,880-9105)
As online social networks (OSNs) have become one of the most popular platforms to spread information, there has been great interest in studying information adoption/propagation patterns in OSNs. In this talk, I will introduce our research work on content adoption and cascades in Pinterest, a popular social curation service where people can collect, organize, and share images that they find of interest. I will also briefly introduce research issues in another type of information adoption and cascades: (i) application adoption and propagation in Facebook and (ii) conversation cascade in Reddit.
Jinyoung Han is a postdoctoral researcher at University of California, Davis. He was a postdoctoral researcher at Seoul National University (SNU) in 2013. He received his B.S. degree in computer science from KAIST in 2007 and Ph.D. degree in computer science and engineering from SNU in 2013. His research interests include data science, network science, computational social science, and business analytics.