From its earliest stages on, the rise of computational approaches in the Arts and Humanities – whether in archaeology, history, or digital humanities more generally – has been accompanied by discussion and a critical reflection on the ways in which data-driven research methods are in-formed by the way research objects are represented as data structures. Various dimensions, challenges and characteristics are commonly addresses that can be roughly divided into the three intersecting aspects of the subjectivity of data, their complexity and their size. Archaeological network analysis as a formal, quantitative method is situated firmly within the tension between these fields, and many authors focus on the application of network research to archaeological data while respecting its complex nature as outlined above. This paper wants to add to this growing body of work by focusing on the specificities of a medium-sized datasets that offers multiple perspectives on a complex question of social archaeology: the study of intersecting social identities and their materialization in funeral assemblages, particularly of a collective identity of high status-individuals or “elites”, during the Late Urnfield Period. It wants to offer a mixed-method approach that centres quantitative results and qualitative contextualization across different scales, and tries to minimize loss of information and context, while transparently disclosing its practices of data selection, pre-processing, and analysis, and aims to make the reflective positionings of “slow data” and “slow technology” productive for a methodology of “slow networks”.