• Description

This course covers the study of the concepts and basic algorithms for the analysis of complex networks, of models that summary his more notable properties, and of the dynamics that take place in them. In the first place it shows the presence of complex networks in all type of fields (biology, technology, ecology, social sciences, economy, linguistic, etc.) and analyse his recurrent properties more important, like the distributions of free degree of scale, the transitividad, the property of small world and the asortatividad. We will loan special attention to the study of the structure mesoscópica of the complex networks, reviewing the main algorithms for the obtaining of his structure in communities. We will see also the main models of random complex networks, that allow to understand the apparition of his peculiar structural properties. Finally, we will go in to describe some of the dynamics on complex networks, like the synchronisation and the propagation of epidemics.

• Professional fields to which it applies

Data Science

• Prior knowledge

• Capacity to read scientific texts in English.
• Basic knowledges of mathematics (level degree or engineering).
• Knowledges of programming: the course requires the programming of algorithms relatively simple (but no trivial), by what is necessary to be able to program in some programming language (does not matter cual: Python, Matlab, Octave, R, Java, C, C#, C++, etc.)

• Information prior to enrolment

• Professor: Dr. Sergio Gómez (http://deim.urv.cat/~sergio.gomez/)
• Credits: 5

• Content

1. Introduction to complex networks
   
2. Mathematical representation of complex networks
   
3. Structure of complex networks
   
4. Models of complex networks
   
5. Community structure of complex networks
   
6. Dynamics on complex networks
   

• Guidelines on assessment at the UOC

The assessment process is based on students' own work and the assumption that this work is original and has been carried out by them.

In assessment activities, the following irregular behaviours, among others, may have serious academic and disciplinary consequences: someone else being involved in carrying out the student's assessment test or activity, or the work being not entirely original; copying another's work or committing plagiarism; attempting to cheat to obtain better academic results; collaborating in, covering up or encouraging copying; or using unauthorized material, software or devices during assessment.

If students are caught engaging in any of these irregular behaviours, they may receive a fail mark (D/0) for the assessable activities set out in the course plan (including the final tests) or in the final mark for the course. This could be because they have used unauthorized materials, software or devices (e.g. social networking sites or internet search engines) during the tests, because they have copied text fragments from an external source (internet, notes, books, articles, other student's projects or activities, etc.) without correctly citing the source, or because they have engaged in any other irregular conduct.

In accordance with the UOC's academic regulations , irregular conduct during assessment, besides leading to a failing mark for the course, may be grounds for disciplinary proceedings and, where appropriate, the corresponding punishment, as established in the UOC's coexistence regulations.

In its assessment process, the UOC reserves the right to:

• Ask the student to provide proof of their identity, as established in the university's academic regulations.
• Request that students provide evidence of the authorship of their work, throughout the assessment process, both in continuous and final assessment, by means of an oral test or by whatever other synchronous or asynchronous means the UOC specifies. These means will check students' knowledge and competencies to verify authorship of their work, and under no circumstances will they constitute a second assessment. If it is not possible to guarantee the student's authorship, they will receive a D grade in the case of continuous assessment or a Fail in the case of final assessment.

  For this purpose, the UOC may require that students use a microphone, webcam or other devices during the assessment process, in which case it will be the student's responsibility to check that such devices are working correctly.

• View the assessment model