| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| COMPLEX NETWORKS |
| Contents |
| 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 |
| Topic | Sub-topic |
| Introduction | Introduction to complex networks Real-world network examples |
| Structure of complex networks | Classification of complex networks Global properties of networks Descriptors for nodes and edges Centrality measures |
| Models of complex networks | Erdös-Rényi model Barabási-Albert preferential attachment model Watts-Strogatz small-world model Configuration model |
| Mesoscopic structure of networks | Community structure Detection of communities Other mesoscopic structures |
| Dynamics on networks | Diffusion Synchronization Epidemic Spreading Other dynamics |
