The study of (social) structures in real-world networks is known as (social) network analysis. Nodes and linkages make up networks. Communities are subnetworks in which nodes have more connections to nodes within the subnetwork than to nodes outside the subnetwork. The difficulty of detecting nodes in networks that belong to more than one sub-network is ...
Analysis of literature in scientific conferences and journals to identify and describe the evolution of trends is valuable for supporting the dissemination and distribution of knowledge in a large-scale decentralized research community. A trend is an increase in popularity, while a downtrend describes a decrease in popularity of a certain topic. The goal of this ...
The implementation of game-design features and gaming concepts in non-game environments is known as gamification, whereas habit development is the process through which a behavior becomes automatic or habitual via repeated repetition. The goal of this thesis is to use the open-source Gamification Framework developed at our chair in the context of seminar papers and ...
Validating the Reference Architecture Model of International Data Spaces Regarding Vocabulary Sharing Requirements From Life-Science Industry in the Context of Persistent Identifier Systems
Based on our Mixed Reality framework for gamification we want to explore the design and implementation of mixed reality escape rooms in collaborative educational settings.
In this thesis we research the use of social capital in information systems in organizational and non-organizational contexts with the aim to conceptualize framework for community information systems.
Social Bots (software robots) are computer algorithms that automatically produce content and interact with humans on social media. Despite their tremendous success (roughly half of the Internet traffic is generated by social bots), there are only a few platforms where end-users can design, generate, test and deploy software bots for their purpose without deep knowledge ...
A knowledge graph is a network of semantic relations to real-world entities.Within learning spaces, we can create these graphs automatically.The knowledge graph entities should also represent real-world objects visually in mixed reality environments.
