University of L'Aquila
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Department of Information Engineering Computer Science and Mathematics
Academic Year 2018/2019
Autonomous Networks: Social Networks (3 CREDITS).
Link to the Computer Science Degree official website (click here).
The course Autonomous Networks (6 CFU) is divided into: Non Cooperative Networks (3 CFU. By Prof. Proietti) and Social Networks (3 CFU).
The lectures of Social Networks course will start (approximately) at the end of October 2018.
The course investigates how the social, technological, and natural worlds are connected,
and how the study of graphs and networks sheds light on these connections.
Particular topics include: how opinions, fads, and political movements spread through society, the theory behind strong and weak ties in relationships,
and the small-world phenomenon. Students will learn to use models and theory to explain and exploit the structure of information and social networks.
Additional topics will be covered as time permits.
The (tentative) schedule of the course is the following (with respect to the chapters of the textbook):
Ch. 1 of the textbook: overview;
Ch. 2 of the textbook: Graphs;
Ch. 3 of the textbook: Strong and Weak Ties;
Ch. 4 of the textbook: Networks in their Surrounding Contexts;
Ch. 5 of the textbook: Positive and Negative Relationships;
Part of Ch. 12 of the textbook: Bargaining and Power in Networks;
Ch. 18 of the textbook: Power Laws and Rich-Get-Richer Phenomena;
Ch. 19 of the textbook: Cascading Behavior in Networks;
Ch. 20 of the textbook: The Small-World Phenomenon.
After the lectures or by appointment. Given that I could be out of the office due to academic or research commitments,
students are invited to arrange the day and time of the meeting by e-mail and therefore to send an e-mail preventively.
David Easley, Jon Kleinberg: “Networks Crowds and Market: Reasoning about a highly Connected World”. Cambridge Press, 2010.
A free (complete pre-publication) version of the textbook can be downloaded at this link.