10:30 AM - 12:30 PM
Room: Royal Palm 6
For Part II, see MS113
A number of technological advances provide us with the opportunity to study global and local organization of large scale real-world networks. Examples of such networks include the internet, the World Wide Web, various types of social networks, and a myriad of biological networks spanning all types of molecular communication. The study of such networks includes mathematical description of topological properties, discovering of common features, and study of hierarchical organization of networks in terms of modules or communities. It is also important to recognize that many networks (e.g. social, biological) are dynamic. In such networks, interaction patterns and community structure may change over time and understanding of dynamics of such changes is an important line of research. Finally, in the case when networks are used to model dynamical processes such as gene regulation, one often needs to infer the network edges from observed correlated changes of states of network nodes.
Organizer:
Teresa M. Przytycka
NCBI/NLM/NIH