Análise de Redes Sociais


The structure and organization of real-world systems ¿ physical, ecological, and social ¿ is often better represented through the set relationships between its building. In fact, many dynamical problems that occur on social systems ¿ such as disease spreading, opinion formation, information cascades, and behavior adoption ¿ can only be truly understood after one considers the underlying structure of relationships between its agents/actors. In that sense, Network Science presents a powerful set of methodologies to abstract and think about network problems, and to extract meaningful and actionable information for a wide range of applications.

In the Social Network Analysis curricular unit, we will focus on the vast accumulated knowledge that resulted from the application of Network Science methods to study problems in the realm of Social Sciences. Hence, during the 7 weeks of this Curricular Unit students will learn about the fundamentals of Network Science, understand how it can be used in social sciences, and understand how social networks shape the diffusion of different types of information. A special focus will be placed on applications to Marketing such as Influencer detection and individual targeting. 

Caracterização geral





Professor responsável

Flávio Luís Portas Pinheiro


Semanais - A disponibilizar brevemente

Totais - A disponibilizar brevemente

Idioma de ensino

Português. No caso de existirem alunos de Erasmus, as aulas serão leccionadas em Inglês


The curricular unit does not have technical enrollment requirements.

Classes will be taught in English, and as such students are expected to have a good comprehension and communication of English.


Barabási, Albert-László. Network science. Cambridge University Press, 2016.
Easley and Kleinberg, Networks, Crowds, and Markets: Reasoning about a highly connected world. Cambridge Univ. Press, 2010. 
Newman, Networks: An introduction. Oxford Univ. Press, 2010. 
Jackson, Social and Economic Networks. Princeton Univ. Press, 2008. 
Additional reading materials will be shared in Moodle; 

Método de ensino

The curricular unit combines a mix of theoretical and practical lessons with a strong focus on active learning. During each session, students will be introduced to new concepts and methodologies, case studies, and practical examples. Active learning activities (debates, quizzes, mud cards, compare and contrast) will place students at the center of the classroom so that each takes an active role in the discussion and foster the learning process. Computer activities will take place whenever appropriate. For instance, students will build and analyze the class friendship network and thus get some hands-on experience and familiarity with the topics of the course.

Evaluation Elements:
EE1 - Participation in classroom activities (50%)
EE2 - Final theoretical exam (50%).

Método de avaliação

The first grading season is dedicated to continuous evaluation, which includes the following components:

  • Exam (30%) ¿ Final Theoretical exam to take place during the 8th week of the first semester. The exam consists of 40 multiple-choice questions and will have a duration of 45 minutes. Correct answers count 0.5 points, and incorrect answers discount 0.2 points. More details will be shared with the students during the classes;
  • Class Activities (20%) ¿ Active participation in class activities developed during the duration of the curricular unit;
  • Group Activity (50%) ¿ Oral presentation of a scientific manuscript of the student¿s choice. Students are expected to show their ability to comprehend the contribution of a manuscript, be able to identify the novelty, its impact on Social Sciences (Marketing in particular), identify aspects for improvement, and communicate to their peers their findings. Groups should have a maximum size of 4 students. Students will be assessed by the clarity of their communications (40%), the correctness of the methods presented (30%), and the relatedness of the topic to the syllabus of the curricular unit (30%). Slides should follow the template shared on Moodle. The delivery consists of a PDF copy of the selected manuscript, the deck of slides in PDF format, and a short 250-word abstract to be submitted through Moodle. More details will be shared during the classes (e.g., presentation day, format, and duration).

Second Season

The second grading season will take place in January and consists of a multiple-choice exam. The exam consists of 40 multiple-choice questions and will have a duration of 45 minutes. Correct answers count 0.5 points, and incorrect answers discount 0.2 points.


The following is a tentative schedule of the curricular unit. Changes to the proposed plan can happen depending on the progress of the class.






Lecture (T)

Curricular Unit Overview;

What is a Network?

Examples of Networks in the real world.

The Science of Networks

Complex Systems


Lecture (T)

The Seven Bridges of Königsberg

Fundamentals of Network Analysis 

Different types of networks

What characterizes a Network?


Lecture (T)

The six degrees of Kevin Bacon

Models of Networks

From Random to Scale-Free Networks

The Small-World phenomena


Lecture (T)

When some elements are more important than others

Node centrality measures

Community Finding



Lecture (T)

Three degrees of Influence

How does information spread in Social Networks?

From Simple (Epidemics) to Complex Contagion (Opinions)

Information Cascades.

The role of Weak and Strong ties.


Lab (P)

Cooperation is mysterious

Social Network Analysis.

Evolution of Behaviors, and the role of Social Networks. 


Lab (P)

Network Inference.

From Data to Network Analysis


Cursos onde a unidade curricular é leccionada: