A5011761800- Complex Network Analysis Techniques
- Online Learning and Analytics
- Opinion Dynamics and Social Influence
- Innovative Teaching and Learning Methods
- Social Media and Politics
- Wikis in Education and Collaboration
- Online and Blended Learning
- Human Mobility and Location-Based Analysis
- Topic Modeling
- Knowledge Management and Sharing
- Data Visualization and Analytics
- COVID-19 epidemiological studies
- Semantic Web and Ontologies
- Evolutionary Game Theory and Cooperation
- AI in Service Interactions
- E-Learning and Knowledge Management
- Data-Driven Disease Surveillance
- Network Security and Intrusion Detection
- Open Source Software Innovations
- Advanced Malware Detection Techniques
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Game Theory and Applications
- Formal Methods in Verification
- Expert finding and Q&A systems
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2020-2025
Software (Germany)
2024-2025
University of Duisburg-Essen
2012-2020
Bots have emerged from research prototypes to deployable systems due the recent developments in machine learning, natural language processing and understanding techniques. In software engineering, bots range simple automated scripts decision-making autonomous systems. The spectrum of applications engineering is so wide diverse, that a comprehensive overview categorization such needed. Existing works considered selective be analyzed failed provide overall picture. Hence it significant...
In this integrated study of dynamics in MOOCs discussion forums, we analyze the interplay temporal patterns, content, and social structure emerging from communication using mixed methods. A special focus is on yet under-explored aspect time influence course forum participation. Our analyses show dependencies between (video opening assignment deadlines) over-all activity whereas such a clear link could only be partially observed considering content. For analyzing dimension apply role modeling...
This paper describes the analysis of social and semantic structure discussion forums in massive open online courses (MOOCs) terms information exchange user roles. To that end, we analyse a network forum users based on information-giving relations extracted from data. Connection patterns appear are used to define specific roles context. Semantic derived by identifying thematic areas which an actor seeks for (problem areas) interest provides others (expertise). The interplay is analysed using...
This paper presents an analysis of resource access patterns in two recently conducted online courses. One these is master level university lecture taught form a blended learning course with wide range activities and materials, including collaborative wikis, self-tests thematic videos. The other on psychological aspects computer mediated communication has been offered the MOOC. specialty this was that students from different universities could participate MOOC as regular class receive credits...
Abstract Web search is a crucial technology for the digital economy. Dominated by few gatekeepers focused on commercial success, however, web publishers have to optimize their content these gatekeepers, resulting in closed ecosystem of engines as well risk sacrificing quality. To encourage an open and offer users genuine choice among alternative engines, we propose development Open Index (OWI). We outline six core principles developing maintaining index, based data principles, legal...
High-resolution temporal contact networks are useful ingredients for realistic epidemic simulations. Existing solutions typically rely either on empirical studies that capture fine-grained interactions via Bluetooth or wearable sensors in confined settings, large-scale simulation frameworks model entire populations using generalized assumptions. However, most modeling of spread and the evaluation countermeasures, there is a critical need highly resolved, encompass multiple venues without...
High-resolution temporal contact networks are useful ingredients for realistic epidemic simulations. Existing solutions typically rely either on empirical studies that capture fine-grained interactions via Bluetooth or wearable sensors in confined settings large-scale simulation frameworks model entire populations using generalized assumptions. However, most modeling of spread and the evaluation countermeasures, there is a critical need highly resolved, encompass multiple venues without...
There is an underexploited potential in enhancing massive online learning courses through small-group activities. Size and diversity allow for optimizing group composition tasks. The purpose of this paper was to investigate how groups formed based on learner behavior affect productivity students a task. Students classified as high, average low were randomly assigned homogeneous or heterogeneous groups. Results indicate that overall, either similarly bit more productive than Yet, we found...
To further develop rich and expressive ways of modelling roles contributors in discussion forums massive open online courses (MOOCs), we analyse a networks forum users based on the relations information-giving information seeking. Specific connection patterns that appear exchange are used to characterize user social context. Additionally, semantic derived by identifying thematic areas which an actor seeks for (problem areas) interest provides others (areas expertise). The interplay is...
This paper describes a network reduction technique to reveal possibly hidden relational patterns in information diffusion networks of interlinked content published across different types online media. Topic specific items such as tweets (Twitter), web pages, or versions Wikipedia articles can reference each other through hyperlinks, revisions, retweet relationships, and thus, constitute that reflects the dissemination on web. Beyond focusing structural linking alone, temporal aspect is...
This paper presents an analysis of resource access patterns in a recently conducted master level university course. The specialty the course was that it followed new teaching approach by providing additional learning resources such as wikis, self-tests and videos. To gain deeper insights into usage provided material we have built dynamic bipartite student -- networks based on event logs access. These are analysed using methods adapted from social network analysis. In particular uncover...
This paper introduces the scientometric method of main path analysis and its application in an exemplary study paths knowledge development roles contributors Wikiversity. Data from two scientific domains this online learning community has been used. We see as a step forward adapting adopting network techniques for analyzing collaboration processes building communities. The steps are presented detail including description tool environment (“workbench”) designed flexible use by non-computer...
Abstract Collaborative learning in small groups can enrich and enhance the experience large online courses by facilitating interaction collaborative knowledge building between peers. on work reported here addresses scenarios based asynchronous communication exchange. As compared to synchronous face-to-face settings, these require higher explicit coordination efforts specific support mechanisms reach out inactive group members. This be achieved human tutors as well through automatic...
This study advances the field of infectious disease forecasting by introducing a novel approach to micro-level contact modeling, leveraging human movement patterns generate realistic temporal dynamic networks. Through incorporation mobility models and parameter tuning, this research presents an innovative method for simulating encounters that closely mirror infection dynamics within confined spaces. Central our methodology is application Bayesian optimization selection, which refines emulate...
Abstract We replicate and analyze the topic model which was commissioned to King’s College Digital Science for Research Evaluation Framework (REF 2014) in United Kingdom: 6,638 case descriptions of societal impact were submitted by 154 higher-education institutes. compare Latent Dirichlet Allocation (LDA) with Principal Component Analysis (PCA) document-term matrices using same data. Since models are almost definition applied text corpora too large read, validation results these is hardly...
This paper provides an introduction to the scientometric method of main path analysis and its application detecting idea flows in online learning community using data from Wikiversity. We see this as a step forward adapting adopting network techniques for analyzing evolution artifacts knowledge building communities. The steps are presented detail including description tool environment ("workbench") designed flexible use by non-computer experts. Through definition directed acyclic graphs...
This work explores methods to investigate the structure of knowledge exchange in discussion forums massive open online courses (MOOCs) explicitly taking into account changing patterns over time. Various aspects forum analysis combining different approaches are exemplified with a case discussions from Coursera MOOC.
In this paper we introduce the concept of a web-based analytics workbench to support researchers social networks in their analytic processes. Making explicit these processes allows for sound design, re-use, and automated execution using an authoring system visual representations workflows. The is implemented according flexible technical framework which external newly-defined components can be integrated used conjunction with other components. As showcase discuss complex process.