University of L'Aquila
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Department of Information Engineering Computer Science and Mathematics
Academic Year 2019/2020
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 2019.
The course investigates how the social, technological, and natural worlds are connected, and how the study of graphs and game theory sheds light on these connections. On successful completion of this module, the student will learn to use graphs and game theory to explain and analyze the structure of social networks.
Topics of the module include:
- Strong and weak ties in social networks;
- Surrounding contexts in social networks;
- Positive and negative relationships in social networks;
- Bargaining and power in social networks;
- Cascading behavior in social networks;
- Hedonic games: additively separable hedonic games and fractional hedonic games.
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.
The lectures of Social Networks course will start (approximately) at the end of October 2019