| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| COMPLEX NETWORKS |
| Sources of information |
| IDENTIFYING DATA | 2023_24 |
| Subject | COMPLEX NETWORKS | Code | 17705120 | |||||
| Study programme |
|
Cycle | 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 4.5 | Compulsory | Second | 1Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Basic |
Newman, M.E.J., Networks, Oxford University Press, 2nd edition, 2018
F. Menczer, S. Fortunato, C. Davis, A First Course in Network Science, Cambridge University Press, 2020 |
| Complementary |
E. Estrada, A first course in network theory, Oxford University Press, 2015
A.-L. Barabási, Network Science, Cambridge University Press, 2016
G. Caldarelli, A. Chessa, Data science and complex networks: real cases studies with Python, Oxford University Press, 2016
H. Sayama, Introduction to the modeling and analysis of complex systems, Open SUNY Textbooks, 2015
V. Latora, V. Nicosia, G. Russo, o Complex networks: Principles, Methods, and Applications, Cambridge University Press, 2017 |
| A.-L. Barabási: http://networksciencebook.com/ H. Sayama: https://milneopentextbooks.org/introduction-to-the-modeling-and-analysis-of-complex-systems/ |
