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Descriptive sheet of the TU PHS-SNET

TU PHS-SNET - Social network analyses for public health issues


Provide the students with methodologies and tools of how social network data could be analysed and exploited for public health purposes.

Knowledge to be acquired

  • The role of social network information in public health;
  • Principal metrics in graph based network analysis ;
  • Twitter API ;
  • Gephi Software.

Skills to be acquired

  • Understanding how social networks information could be exploited for public health purposes ;
  • Being able to carry out basic social network analysis in Gephi.


  • Role of social network in public health controversies and health behaviours
  • Fundamentals of social network analysis
  • Basis of network analysis with using Gephi
  • Real world examples

Pedagogical method

Courses on-line by NetConference, distance mentoring over the Internet.


Knowledge of computer use, computer communication and presentation tools.

Total hours

Around 15 hours per NetConference + personal work.




Faculté des sciences médicales et paramédicale de Marseille


See the schedule for this TU 


Raquel Ureña-Perez


Emilien Schultz

TU – mandatory

This TU is mandatory for the Master 2 of Public Health:
  • AI4PH: Artificial Intelligence for Public Health

TU – optional


Assessment of knowledge

A single examination is organised, in accordance with the Aix Marseille University rule.

For this single session, the assessment of knowledge of this teaching unit is based on:

  • Continuous assessment of knowledge with various homework assignments, tests and exercises. This continuous assessment will have a coefficient of 2 in the final mark.
  • An oral examination. This exam will have a coefficient of 3 in the final grade. A personal convocation will be sent by e-mail to each student.

To validate a UE, it is necessary to obtain a mark ≥ 10.

Educational resources

All course materials will be available on the teaching on-line platform AMeTICE.