Social Network Analysis (2 º Sem 2020/2021)

- Introduction: social network analysis: what is it? What value does it add to traditional statistical methodologies;

- Methods of SNA: methods for data collection; data management; data analysis and with UCINET VI and visualization using Net Draw;

- Data formats: one mode vs two modes. Themes of application: interlocking directorships...;

- Whole networks - organizations, communities, countries. SNA metrics: cohesion or density, centralization, reciprocity, core-periphery...); Themes of application: cooperation, conflict, power, solidarity, social capital, innovation;

- Ego-networks: SNA metrics: structural holes, density, homophily....; Themes of application : social capital, social support, innovation, creativity;

- The individual level of analysis: SNA metrics: centrality, social capital, key-players... Themes of application: leadership, information diffusion, power...;

- The group level of analysis:

A - Based on cohesion: SNA metrics: cliques, clans, k cores... Themes of application: cooperation, collective action, conflicts, performance, innovation diffusion, social influence;

B - Based on roles and position: SNA metrics: structural and regular equivalence... Themes of application: innovation diffusion, social influence, imitation, attitude and behavioural similarity:

- New challenges posed to SNA: big data, ethical questions...