Datasets and Code
Course Code: 582474
Instructor: Panayiotis Tsaparas
Tutor: Evimaria Terzi
Time: March 8 - May 12, Tue, Thus 14 - 16
Lecture Room: Kumpula campus, Exactum bldg, Room DK117
Office Hours: Panayiotis, Tuesday 16:00 - 17:00, Room A347
Evimaria, Thursday 16:00- 17:00, Room A346
Mailing list: firstname.lastname@example.org (for announcements and for posting questions)
In this course we will study models and algorithms for information networks. The course will be modeled after similar courses by Jon Kleinberg, The Structure of Information Networks, Algorithms for Information Networks. We will study networks such as the Web, the internet, social networks and biological networks. The objective is to see the common structure and properties that underlie these networks, and study algorithms that make use of this structure for tasks such as ranking, information propagation, epidemic containment.Course Homework
It is assumed that the students that take this course have a good grasp of mathematics, and in particular graph theory, probabilities, and some linear algebra. For the project you will be most likely required to do some programming.
The course homework consists of assignments, and a project. There will be at least two, and no more than three assignments. There will be either a reaction paper, an exercise set, or a presentation (click here for more info on that), depending on the attendance and the material. The final grade will be determined 50% by the grade on the project and 50% by the grade on the assignments. If there are three assignments, the project may become 40% of the grade.
There will be no fixed exercise session time, but when required Evimaria will host tutorials on Mondays, 14:00 - 16:00 pm
Reading material, references and handouts
The goal of the course is to go through a collection of recent research papers on models and algorithms for complex networks. A (constantly changing) list of papers can be found here. The list is indicative of the topics that will be covered. Not all papers will be presented in class.
Teaching will be done using both slides and blackboard, depending on the topic. Slides and references will be made available on the Web page at the references page.
The latest announcements will be posted here. All announcements can be found at the announcements page
April 24:Some more papers were added to the presentation list today. Make sure that you send me the paper that you want to present as soon as possible.