Introduction to Network Analysis|
This is an interdisciplinary hands-on course examining the application of network analysis in various fields. It will introduce students to the formalism of networks, software for network analysis, and applications from a range of disciplines (history, sociology, public health, business, political science). We will review the main concepts in network analysis, learn how to use the software (e.g. network analysis and GIS libraries in R), and will work through practice problems involving data from several sources (Twitter, Facebook, airlines, medical innovation, historical data). Upon completion of the course, students will be able to conduct independent research in their fields using network analysis tools.
||Gen Ed Area Dept:
|Course Format: Laboratory Course||Grading Mode: Graded|
||Fulfills a Major Requirement for: (DATA-MN)
||Past Enrollment Probability: 90% or above
|Special Attributes: CQC|
McCulloh, Ian A. et al., SOCIAL NETWORK ANALYSIS WITH APPLICATIONS, Wiley-Interscience,
Degenne, Alain and Michel Forse, INTRODUCING SOCIAL NETWORKS, SAGE Publications, 1999
Barabasi, Albert-Lazslo, NETWORK SCIENCE, 2012, Online: http://barabasilab.neu.edu/networksciencebook/downlPDF.html
Christakis, Nicholas A. and James H. Fowler, CONNECTED: THE SURPRISING POWER OF OUR SOCIAL NETWORKS AND HOW THEY SHAPE OUR LIVES, Little, Brown and Company, 2009
|Examination and Assignments: |
This course will have several homework assignments, a take-home midterm, and a final project. Part of the grade will depend on class participation/preparedness.
|Instructor(s): Oleinikov,Pavel V Times: ..T.R.. 01:10PM-02:30PM; Location: ALLB204; |
|Total Enrollment Limit: 26||SR major: 0||JR major: 0|| || |
|Seats Available: -4||GRAD: 2||SR non-major: 6||JR non-major: 6||SO: 6||FR: 6|