Networks, crowds and markets: Foundations for mathematical analysis and design

Information Science 6260
Cornell University, Fall 2017


Mondays 1:30pm-4pm

Gates Hall
 

Arpita Ghosh

Information science studies systems at the juncture of people and technologies---their behavior, analysis and design. This doctoral level mixed lecture-seminar course is an introduction to the formal analysis of social systems: We will introduce concepts from mathematics, computer science and economics that are fundamental to analyzing many settings---networks, crowds, markets---relevant to information science, and see how formal reasoning using abstract mathematical models can help analyze and predict outcomes in social systems.

Learning outcomes:
This is a core course for the Information Science PhD program. Students will learn the foundations of abstract mathematical modeling for the analysis of social systems, and some basic techniques from mathematics, computer science and economics that are necessary to construct and utilize these models. The course will consist of a combination of lectures by the instructor, and seminar-style presentation of research papers by students. The seminar component of the course will expose students to the research literature in this area, as well as develop skills in critically evaluating and engaging with the literature.

Prerequisites:
Graduate standing in Information Science PhD program, or other PhD program.

Note: This course is intended for, and suitable for, graduate students who are currently in a Phd program (in any department). Students not in a PhD program (such as MPS or M.Eng students) that are interested in the course are welcome to audit it, either formally or informally. Requirements for formal auditing are attendance in at least 7 of the first 8 weeks of the course, and at least one of the remaining weeks consisting of student presentations.

Credits: 3.


Course Information

Instructor: Arpita Ghosh

Office: 206 Gates Hall

Note: I am typically unable to respond to email due to severe RSI. Asking questions in-class, after class, or in office hours (starting September) is the best way to communicate with me.

Office hours: To be announced.


Course outline and schedule

(Caveat: The schedule below is tentative, and may be modified somewhat through the duration of the semester.)

This course will use material from the text Networks, crowds and markets by Easley and Kleinberg, as well as several research papers. All chapter numbers below refer to this book.

Optional preparatory work : For students who are extremely unfamiliar with mathematical analysis and/or would like pointers for advance preparation, an accessible and helpful activity would be to read Chapter 6 (Games) in Easley-Kleinberg; you could also read Sections 2.1 and 2.2 in Chapter 2 . Again, this is not required reading; it is purely voluntary and meant to direct you if you are seeking additional resources prior to the start of classes. (Also, you are very welcome to read the chapters in the book that correspond to our syllabus below in advance of class, if you'd like further additional exposure; but again, this is not necessary reading.)

Schedule:

Coursework

The course will be evaluated on the basis of the following components. Details and guidelines for each component will be announced in class, after the semester begins. Note that being present in class is a critical component of the course, since most learning will occur in class. Class attendance is essential for class participation credit, and therefore poor attendance will directly affect the final grade.