Abstract-This paper describes the design and development of histoGraph, an interactive tool for explorative visualization and collaborative investigation of historical social networks from multimedia collections. Developed in an interdisciplinary collaboration of computer scientists, historians, HCI researchers and interface designers, the tool aims at supporting historians in the discovery and historical analysis of relationships between people, places and events. A special focus is on the identification and interactive visualization of social relations from historical photo collections through a combination of automatic analysis and expert-based crowdsourcing. The tool design bridges the gap between established network analysis and visualization techniques and traditional hermeneutic research methods in historical research. It integrates visual exploration with hybrid social graph construction, hypothesis formulation and the consultation of digitized primary sources. A formative evaluation of the current prototype, developed as a domainspecific application for historians in the field of European integration points to opportunities and critical factors in applying this approach to support and further current research practices in digital humanities.

No abstract

La visualizaciones de redes pueden ayudar a los humanistas a revelar patrones complejos escondidos y estructuras en fuentes textuales. Este tutorial explica cómo extraer datos en red (personas, instituciones, lugares, etcétera.) de fuentes históricas a través del uso de métodos no especializados desarrollados en el marco del análisis de datos qualitativos (Qualitative Data Analysis, QDA) y el análisis de redes sociales (Social Network Analysis, SNA), y cómo visualizar estos datos con Palladio, una aplicación independiente de plataforma y que es particularmente fácil de usar.

No abstract

In this paper we report on an explorative study of the history of the twentieth century from a lexical point of view. As data, we use a diachronic collection of 270,000+ English-language articles harvested from the electronic archive of the well-known Time Magazine (1923Magazine ( -2006. We attempt to automatically identify significant shifts in the vocabulary used in this corpus using efficient, yet unsupervised computational methods, such as Parsimonious Language Models. We offer a qualitative interpretation of the outcome of our experiments in the light of momentous events in the twentieth century, such as the Second World War or the rise of the Internet. This paper follows up on a recent string of frequentist approaches to studying cultural history ('Culturomics'), in which the evolution of human culture is studied from a quantitative perspective, on the basis of lexical statistics extracted from large, textual data sets.