Interactive chart of story characters’ intentions

This paper presents a visualization of stories that aligns the hierarchy of story units and the hierarchy of characters\u2019 intentions, respectively, with the story text, subdivided into chunks. The solution takes inspiration from the design introduced by the movie narrative charts, and presents an interactive tool

git2net - Mining Time-Stamped Co-Editing Networks from Large git Repositories

Data from software repositories have become an important foundation for the empirical study of software engineering processes. A recurring theme in the repository mining literature is the inference of developer networks capturing e.g. collaboration, coordination, or communication from the commit history of projects. Most of the studied networks are based on the co-authorship of software artefacts defined at the level of files, modules, or packages. While this approach has led to insights into the social aspects of software development, it neglects detailed information on code changes and code ownership, e.g. which exact lines of code have been authored by which developers, that is contained in the commit log of software projects. Addressing this issue, we introduce git2net, a scalable python software that facilitates the extraction of fine-grained co-editing networks in large git repositories. It uses text mining techniques to analyse the detailed history of textual modifications within files. This information allows us to construct directed, weighted, and time-stamped networks, where a link signifies that one developer has edited a block of source code originally written by another developer. Our tool is applied in case studies of an Open Source and a commercial software project. We argue that it opens up a massive new source of high-resolution data on human collaboration patterns.Comment: MSR 2019, 12 pages, 10 figure

Semantic-Enabled Contacts as part of an Art Project Management tracking tool: Case of Re-Source project

International audienceAt the beginning of the ReSource project, is the observation that Art World is now fully 2.0, facing challenges such as transparency, reflexivity and participation. Mnemotix, a digital cooperative society, has been working for 2 years in partnership with the Contemporary Art Foundation Lafayette Anticipations and Alexandre Monnin, on an innovative application aiming at documenting in real time the collective process that leads to the production of works of art. Based on semantic technologies, tailor-made ontology and thesaurus, this application chain proposes to highlight the community of actors and skills involved in artworks production. We will present in this article our innovative custom-made tool for collaborative storytelling of Artworks, the dedicated ReSource ontology as well as its use in a semantic annotation interface to promote Artworks monitoring and visualizations of the interactions between members, contacts, resources and projects within the Contemporary Art ecosystem

Story of a 'Storyline Visualization' in High School Readings

Storyline visualization, as a process of illustrating data that has a course of events via a visual medium, has been used in the area of film making for a very long time. Not so long ago, it has moved from the paper version to the digital word allowing for a wider usage. In this paper we propose its usage as a teaching tool in the area of literature reading for the Croatian class (primary language). We have conducted a preliminary research in five Croatian high schools of a different profile to see how storyline visualization, and visualization of school materials in general, affects students understanding of the material being studied. Each school participated with two groups of students where one group was exposed to the storyline visualization of a novel Prokleta avlija by Ivo Andrić [N=103 in total] during the reading period, and the other one was reading without the visualization [N=93 in total]. We will present our results taking into account students’ gender and type of a school

Mining Project- Oriented Business Processes

Large engineering processes need to be monitored in detail regarding when what was done in order to prove compliance with rules and regulations. A typical problem of these processes is the lack of con- trol that a central process engine provides, such that it is difficult to track the actual course of work even if data is stored in version control systems (VCS). In this paper, we address this problem by defining a mining technique that helps to generate models that visualize the work history as GANTT charts. To this end, we formally define the notion of a project-oriented business process and a corresponding mining algorithm. Our evaluation based on a prototypical implementation demonstrates the benefits in comparison to existing process mining approaches for this specific class of processes

nn Walks in the Fictional Woods

This paper presents a novel exploration of the interaction between generative AI models, visualization, and narrative generation processes, using OpenAI's GPT as a case study. Drawing on Umberto Eco's ``Six Walks in the Fictional Woods'', we engender a speculative, transdisciplinary scientific narrative plentiful with references and links to relevant talks. To enrich our exposition, we present a visualization prototype to analyze storyboarded narratives, and extensive conversations with ChatGPT. Our paper is thoroughly decorated with thoughtful decorations that try to encode meaning and complement the narrative.Comment: this is a submission for alt.vis 202

Readers Read, Readers Write: A Methodology for The Study of Reading Practices in Media Convergence

In this article we propose a set of methodologies to study emerging reading practices in narratives developing simultaneously in various media. We have taken the data by readers of the Spanish-Argentinian project Orsai in the form of blog comments, download rates, and print-run volumes as “reading traces.” We believe these traces shed much light on what is sparking readers’ attention (narrative developments, frequency of publication, interaction with other readers and authors), and in what fashion (comment frequency, volume, and type). Our methodology includes network analysis and visualizations of reading traces in the comparative setting of our case study, and is susceptible to being adapted to other convergence media projects