Social Networks research is a highly interdisciplinary fields. For example, scholars in Sociology, Psychology, Political Sciences, Computer Science, Physics, Mathematics and Statistics contribute to the development of theories and methods. This course aims at understanding, comparing and structuring recent debates in the field of Social Networks.
Social Networks research is a highly interdisciplinary fields. At the end of this seminar, students will understand and be able to compare different subject-specific approaches to social networks research (e.g., from Sociology, Psychology, Political Sciences, Computer Science, Physics, Mathematics and Statistics). They will be familiar with recent publications in the field of Social Networks and be able to critically participate in a number of recent debates. Amongst others, these debates touch upon the co-evolution of selection and influence mechanisms, appropriateness of statistical models, generic mechanisms and features of social networks, models for the analysis of dynamic networks.