Programa

Social Network Analysis

Licenciatura Bolonha em Economia

Licenciatura Bolonha em Economics

Licenciatura Bolonha em Finanças

Licenciatura Bolonha em Finance

Licenciatura Bolonha em Gestão

Licenciatura Bolonha em Management

Licenciatura Bolonha em Matemática Aplicada à Economia e à Gestão

Programa

- 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...