Dynamic Network Analysis Seminar Series

Seminar Description

There has been a recent surge of interest in the analysis of data describing all forms of networks, including communications networks, biological networks, social networks, financial transaction networks and more. Despite the diversity of domains, common difficulties and challenges include noisy and incomplete data, dynamic and streaming data, issues of scalability and statistical issues such as identifiability, stationarity, and so on. There are a number of different research communities working on network analysis including social scientists, statisticians, physicists, biologists and computer scientists; each comes with their own view on the problem of network analysis, their own set of tools and their own style of analysis.

This seminar series is being run in tandem with CMSC828g, Link Mining and Dynamic Network Analysis. In some cases the meetings will overlap with the class; sometimes they will be on a different day of the week, and in others, they will occur in conjunction with other seminar series.

For information and announcements about the invited speakers, please join the dynamic network analysis (dna) mailing list. To sign up, go here http://mailman.cs.umd.edu/mailman/listinfo/dna-seminar

Schedule (under construction)

Additional confirmed speakers with dates TBD:

Natalie Glance,http://www.econtentmag.com/Articles/ArticleReader.aspx?ArticleID=7618
Anna Goldenberg, http://www.cs.cmu.edu/~anya/