Close and distant reading via named entity network visualization: A case study of Women Writers Online
Close reading and distant reading are widely used in digital humanities and can beneﬁt from information visualizations. Digital humanities scholars have curated numerous TEI-encoded textual collections which provide the data necessary for blending both close and distant reading – however we do not have tools to support general users in conducting these blended analyses. In this paper we focus on one such collection: Women Writers Online (WWO). We contribute the design and implementation of a multiple coordinated view network visualization to facilitate close and distant reading in WWO and a transparent view into our iterative design process to help guide future designers and humanists in applying our approach to other textual collections.