Status: Available

Networks in Theory and Life

Moderator: Kathy Campbell

Details

PURPOSE:

Participants will learn how to recognize and analyze networks in the natural sciences, the social sciences, and in our everyday lives, and discover what new insights such recognition can bring.

DESCRIPTION:

A network is a description of a system of interconnected entities (“nodes”) and their connections (“links”).
Many complex systems can be represented by networks: social networks; communication networks;
biological networks such as the human immune system or ecological food webs; and many more.

Network representations of such systems strip out some of the details about the nodes and focus on the
links. Modern computational power makes it possible to create and run realistic models of large networks,
exploring the possibilities for and ramifications of changes in their connectivity. And these can be both
revealing and unexpected, including “emergent properties” of a system that could not be foreseen.

Learning to recognize patterns among interconnected objects, instead of focusing all our attention on the
objects alone, provides new insights and forms the basis for creativity in fields as diverse as biology and
creative writing.

ROLE OF PARTICIPANTS: Each participant will select a real-world network to introduce to the seminar, and will help lead the group with further exploration of that network as the seminar progresses. The moderator will provide a list of suggestions and associated references, but participants are free to choose other networks following their own interests.
RESOURCES:

Before the seminar begins, participants should take a look at the free, on-line book, Network Science, by Albert-László Barabási at http://networksciencebook.com/ or another introductory book such as Fillippo Menczer, et al., A First Course in Network Science (not free, but excellent). The basic ideas are accessible even to those with minimal mathematical background

ABOUT THE MODERATOR: Kathy is a mathematician and statistician by training with an interest in the new science of “complexity”.