Lehrinhalte
NOTE: this class is offered as a seminar (Mondays 14:25 16:05) and as a Lehrforschungsprojekt (Mondays 16.15-17.55). You are strongly encouraged to attend both parts of the course, but this is not obligatory and you may attend one part only if you prefer.
Part 1 (Mondays 14:25 16:05) of this course will introduce students to concepts and contexts of historical network analysis. If historical network analysis allows us to understand more about the interconnections that existed between historical actors and agents, in this class we will explore: what concepts underpin historical network analysis? For how long has the method been used? What are its antecedents as a method and how has it developed over the longer term? What can and cannot network analysis allow us to understand about the past? With which kinds of historical materials can it best be used? What projects and publications have put network analysis to good use? What can we learn from those projects?
Part 2 (Mondays 16.15-17.55) of this course will introduce students to the practice of network analysis. Drawing initially on the tutorials of the Programming Historian (https://programminghistorian.org/), we will learn the fundamentals of network analysis computational techniques and survey open source software. Working either with a dataset provided by Prof. Dr. Nyhan or a dataset created or compiled by the student themselves, we will then apply this learning and perform network analysis on a given historical case study. Students will be asked to articulate research questions that can be asked of the dataset, and to reflect on the extent to which network analysis, and the dataset at hand, does or does not allow them to explore those questions. Students must bring their own laptops to this course in order to participate in it.
NOTE: this class is offered as a seminar (Mondays 14:25 16:05) and as a Lehrforschungsprojekt (Mondays 16.15-17.55). You are strongly encouraged to attend both parts of the course, but this is not obligatory and you may attend one part only if you prefer.
Part 1 (Mondays 14:25 16:05) of this course will introduce students to concepts and contexts of historical network analysis. If historical network analysis allows us to understand more about the interconnections that existed between historical actors and agents, in this class we will explore: what concepts underpin historical network analysis? For how long has the method been used? What are its antecedents as a method and how has it developed over the longer term? What can and cannot network analysis allow us to understand about the past? With which kinds of historical materials can it best be used? What projects and publications have put network analysis to good use? What can we learn from those projects?
Part 2 (Mondays 16.15-17.55) of this course will introduce students to the practice of network analysis. Drawing initially on the tutorials of the Programming Historian (https://programminghistorian.org/), we will learn the fundamentals of network analysis computational techniques and survey open source software. Working either with a dataset provided by Prof. Dr. Nyhan or a dataset created or compiled by the student themselves, we will then apply this learning and perform network analysis on a given historical case study. Students will be asked to articulate research questions that can be asked of the dataset, and to reflect on the extent to which network analysis, and the dataset at hand, does or does not allow them to explore those questions. Students must bring their own laptops to this course in order to participate in it.
- Lehrende: NyhanJulianne
Semester: ST 2022