@inbook{04f4486273914edf90daa872d452c48a,
title = "The Craft of Elite Prosopography",
abstract = "Prosopograhies, or collective biographies offer a systematic approach to collecting data and describing elite groups. To really reap the fruits of this approach it is important that the definition of the elite group in question is based on a solid theoretical and empirical specification of boundaries. We suggest avoiding only relying on official categories and develop a relation approach to defining elite populations. Furthermore, we argue that well-defined elite populations should be analysed through relational methods, such as Multiple Correspondence Analysis, Social Network Analysis and Sequence Analysis. We argue that these methods offers {\textquoteleft}descriptive assemblages{\textquoteright} that allow scholars to do an empirically sound and visually convincing cartography of power structures. We provide an overview of possible data sources for prosopographical data and discuss how well suited the data sources are for the three abovementioned forms of relation methods. We also provide examples of the specific way of structuring data on attributes, social relations and states, which are most compatible with the three methods.",
author = "Lunding, {Jacob Aagaard} and Ellersgaard, {Christoph Houman} and Larsen, {Anton Grau}",
note = "This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.",
year = "2020",
doi = "10.1007/978-3-030-45175-2_5",
language = "English",
isbn = "978-3-030-45174-5",
series = "Methodos Series",
number = "16",
pages = "57--70",
editor = "Francois Denord and Mikael Palme and Bertrand R{\'e}au",
booktitle = "Researching Elites and Power",
publisher = "Springer",
}