**Fall 2016**

**Organizers: **

** **** Maria Cameron**, MATH 4105, cameron@math.umd.edu

** ****Kasso Okoudjou**, MATH 2111, kasso@math.umd.edu

**Meetings:**

**Fridays, 2:00 - 3:00 PM**

**MATH 1311**

**The organizational meeting:**

**Friday, Sept. 9**

**Synopsis: **The contemporary development of communications, information technologies and powerful computing resources has made networks a popular tool for data organization, representation and interpretation. Networks arising nowadays in various spheres of science and technology are often tremendously larger and more complex than the ones studied in the classic graph theory. Furthermore, they are often dynamic rather than static. We will consider a number of problems where complex networks can be used as a modeling tool and explore various approaches for their analysis.

**Schedule:**

**Sept. 9:** Organizational meeting

**Sept. 23:** Maria Cameron (UMCP Math):

Modeling Aggregation Processes of Interacting Particles by means of Stochastic Networks

**Oct. 7:** Maria Cameron (UMCP, Math): Mutation analysis of a budding yeast regulatory network

**Nov. 18:** Kasso Okoudjou (UMCP, Math): Graph Sparsification

**Dec. 2:** Matt Yancey (Institute for Defense Analyses / Center for Computing Sciences (IDA/CCS)), Hyperbolicity and Congestion

**Dec. 9:** (**1 PM)** Kasso Okoudjou (UMCP, Math): Graph Sparsification (cont’d)

——————————————————————————————————————————————————————————