From January 2021 onwards, monthly online lectures will shed a spotlight on recent research and ideas from the field of historical network analysis to promote discussion among the HNR community. If possible, the lectures will be recorded and made available to the HNR Youtube channel.
New lectures will be announced over the HNR Newsletters with infos on speakers, topics and registration. It is possible to register for individual lectures as well as for the whole lecture series.
|Mar 18th, 2021||Diane Cline, People, Places, and Things in Contexts: Field Maps and the Ancient Greeks at Sea|
|Febr 18th, 2021||Henrike Rudolph, (Re)Constructing Historical Narratives from Collective Biographies|
|Jan 21st, 2021||Demival Vasques Filho, “Extracting large-scale network data from archives”|
Mar 18th, 2021: People, Places, and Things in Contexts: Field Maps and the Ancient Greeks at Sea
The topic for discussion is the introduction of ‘field maps’, which combine sociograms with an interpretive layer of fields (e.g. economic, social, technological, infrastructure, religious) to analyse the ways humans and things are entangled. ‘Field map’ is a term which I have coined for this kind of data visualization. These fields are layered over the sociogram to show the larger chains of interactions that tie people, their activities, places, and non-human things in the social puzzle. To demonstrate the application of field maps, we will use as a case study the ties between olive oil, wine, and the sea for the ancient Greeks, and in this way we can model the entanglement inside the complex systems of an ancient Greek merchant ship in its contexts at sea and in ports. Using this adaptation of sociograms, we explore the role of material things in maintaining social relations, inspired by materiality studies, entanglement, Actor-Network Theory, sensory experience studies, and social network analysis.
Febr 18th, 2021: (Re)Constructing Historical Narratives from Collective Biographies
Collective biographies follow a particular logic of compilation: they depict individuals deemed either exceptional or representative for a certain period or group and emphasize such exceptionality or representativeness in the life stories. The resulting biases and gaps render collective biographies a challenging resource granting only limited insights into universal traits or biographical details. As I will argue in my talk, however, once we employ network analysis, collective biographies can become objects of study in their own right as markers of dominant historical narratives. Based on a case study of collective biographies of women activists in twentieth-century China, I will explore the possibilities of tracing recurring tropes, reflect on the importance of the narrative construction of indirect social ties, and critically examine temporal aspects in biographical sketches. The proposed analytical framework, which uses both one- and two-mode graphs, can be applied to revisit collective biographies or other biographical corpora in different historical contexts.
Jan 21st, 2021: Extracting large-scale network data from archives
The paper Networks from archives: Reconstructing networks of official correspondence in the early modern Portuguese empire–recently published in the journal Social Networks, with my co-authors Agata Bloch and Michal Bojanowski–addresses the problem of processing a large corpus of unstructured textual information to extract network data. Our corpus consists of almost 170,000 documents of administrative correspondence of the Portuguese empire with its Atlantic overseas territories, from 1610 to 1833, cataloged in the Portuguese Overseas Archives of Lisbon. In this HNR lunch-lecture, I will first talk over the methods we used to extract network data from natural language corpora, with detailed technical information about the six steps for creating network data as we described in the paper. These steps include manually annotating texts, developing a named entity recognition model, using regular expressions to identify relational (sender/recipient) data, and avoiding duplicates among the entities extracted. Second, focusing on networks analysis, I will discuss the methods we envision to perform (future work) with this dataset in order to engage with the historiography of the early modern Portuguese empire and the discussion about the multi-continental monarchy theory. This discussion will cover the limitations of correspondence data and the reconstruction of multilayer networks of actors and institutions.