This semester, students in Professors James Lee and Erik Simpson’s special topic seminar, “Milton, Blake, and Frankenstein,” will use NVivo, a software for qualitative literary… Read More »Data Across the Curriculum: Qualitative Literary Analysis in the Humanities
In my last post, I described how network visualization represents the beginnings of a method that will allow us to read between the written playtext and the theatrical performance. Its digital method focuses our critical gaze on the exchange between the words and bodies that work together to define Shakespearean performance by transmuting the words of the playtext into character relationships in space. We will compare the network graphs with the language of the playtexts and with still images from performances, to substantiate our claims at three levels of analysis. Using the network visualizations, we aim to address a pressing question in the digital humanities today: can computational methods can teach us something new about literary texts, or do algorithms and visualizations simply confirm readings, arguments, and theories we already know well. The promise of the network method lies precisely in offering to critics a new vantage point that would otherwise not be possible through a conventional reading of the text. The network allows us to rethink one of the oldest stories in Shakespeare criticism and pedagogy, what we will call the social disorder hypothesis. Since A.C. Bradley influentially defined the essence of Shakespearean tragedy as “division of spirit involving conflict and waste,” and not the ultimate reconciliation or renewal suggested by Hegel, generations of critics to the present have described the tragic nature of Hamlet in terms of thanatos: confusion, destruction, and violence that violates natural law, ethics, and social order. Readers of the comedies have developed a parallel hypothesis on social disorder in accounts of the carnivalesque. Drawing inspiration from the work of Mikhail Bakhtin in Rabelais and his World, a long tradition of critics has focused on the inversions and disorderings of political and sexual hierarchies opened up in the chaos of Shakespeare’s comedies. In this story told about Shakespeare, the tragedies and comedies draw their power and enduring interest from the subversive representation of social disorder. For the sake of space, the present argument focuses on Shakespeare’s tragedies, and acknowledges that the comedies and histories require further analysis.
This canonical account of Shakespearean drama as a fictional space for the eruption of disorder severing social bonds and overthrowing political hierarchies certainly holds true at the level of plot, and Act 5, Scene 2 of Hamlet is one of the most striking examples of this. However, the critical vocabulary of entropy and chaos – incoherence, conflict, waste, violence, destruction, scattering and disproportion – used describe tragic plot as the unraveling of society and the destruction of human bonds, fails to capture the dramatic technique required in a performance to represent this “scattering” of the social on stage. The network in Figure 1 demonstrates that scenes of a tragic “scattering” disorder and the most disruptive and violent severing of social bonds are precisely the moments where the closest connections between characters are made, and the densest concatenation of network links exists.
Rather than like this?
For the past two years, I have been working on ways to do precisely this, by using social network analysis and theory as a way to study literary texts. I’ve examined Shakespeare’s plays to demonstrate how network visualization is a digital humanities method that can “explore” and “negotiate” the space between text and performance in the study of drama, to borrow terms from the Shakespeare critic Robert Weimann. In this approach, digital techniques serve as a way to link traditionally different modes of reading and literary criticism, such as, in the case of Shakespeare, the literary text and theatrical performance. The networks developed in this project use the language of Shakespearean plays to trace the relationships between characters in space, in effect, translating the literary text into a web of spatial relations, which are difficult to perceive solely in the act of reading. The network visualizations map out the connections between every character in all of Shakespeare’s thirty-seven plays at different scales – from the entire play to the individual scene to the line – by counting how much a character speaks (the size of the node), whom they speak to (the edges between the nodes), and how frequently characters interact (the distance between the nodes).