Analyzing Digital Behavioral Data

Digital Behavioral Data supplement survey and census data and stimulate new insights about human behavior and socio-cultural patterns. GESIS provides computer code and tutorials that make it easier for social scientists to handle DVD. Currently this part of our work harbors five instruments. The topic modeling portal provides instruments to detect latent topics in large text corpora while considering contextual information. The HypTrails framework allows comparisons of hypotheses about sequential behavior, e.g., how websites are navigated or how persons move through cities. WikiWho is a tool for „social“ text mining which can be used for the analysis of editing and revising transactions of Wikipedia entries across language versions. Data can be downloaded as data set or obtained via an API. The tool "GESIS Media Monitoring" scans and analyzes Twitter and Facebook data of German politicians. Furthermore, "GESIS Notebooks" is a virtual research infrastructure for large-scale data. This web based software suits for coding languages like R and Python and offers services for application, publication and archiving.

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According to our the idea of "open science" all tools are also available on GitHub: