Local: Porto, FEP (Faculdade de Economia do Porto), Room B401 (Edifício Posgraduações)

Working Language: English 

Aims:

- to introduce concepts of social networks analysis

- to apply social network analysis concepts in studying innovation and knowledge generations

Structure of the course:

The course consists of three sessions of five and a half hours. The sessions will have two parts: a lecture part and a workshop part. During the lecture, a topic and the relevant network concepts are introduced and illustrated with an example. During the workshop, participants work on assignments related to the topic presented in the first part of the session, applying the free Pajek software for analysis and visualization of large networks. The participants will have opportunities to discuss their research topic and their data.

Potential target public: Master and PhD students; Researchers/lecturers

Maximum number of participants: 15

Participants: In the end of the course, participants that registered and attend all sessions will receive a certificate signed by Gindo Tampubolon and stamped by the Faculdade de Economia do Porto.

Recent publications of Gindo Tampubolon in SNA

“Mapping evolutionary trajectories: Applications to the growth and transformation of medical knowledge” (with Mina, A.; Ramlogan, R.; Metcalfe. S), Research Policy, Volume 36, Issue 5, June 2007, Pages 789-806

“Social networks and social capital” (with Savage, M.; Warde, A) In T. Blokland and M. Savage. (Eds.) Social Capital on the Ground. Ashgate, 2007

“Networks of knowledge: The distributed nature of medical innovation” (with Ramlogan, R., Mina, A.; Metcalfe. S.), Scientometrics, Vol. 70, Number 2, Feb. 2007 , pp. 459-489