The course requires knowledge of basic computer science principles and familiarity with linear algebra and statistics.
Assessment methods and Criteria
The exam consists of an oral discussion. At the end of the oral exam, the overall evaluation is expressed in thirtieths, taking into account the following aspects: the degree of knowledge of the topics, the ability to apply knowledge to the resolution of concrete problems, the ability of critical reasoning.
- Basic notions for networks from graph theory including distances and strongly connected components. - The web and social media. - Web search and crawler - Centrality measures
Slides and materials are posted to the website of the course.
Networks models Node degree Clustering coefficient Small-world effect Node Similarity Assortativity Community detection Information diffusion
Social Media Mining, Reza Zafarani, Mohammad Ali Abbasi, Huan Liu, Cambridge University Press, 2014