- Lehrstuhl für Angewandte Informatik in den Kultur-, Geschichts- und Geowissenschaften (8)
- Lehrstuhl für Allgemeine Psychologie (2)
- Professur für Angewandte Informatik, insbesondere Kognitive Systeme (2)
- Lehrstuhl für Medieninformatik (1)
- Lehrstuhl für Mensch-Computer-Interaktion (1)
- Professur für Allgemeine Psychologie (1)
- Visibility in Information Spaces and in Geographic Environments. Post-Proceedings of the KI'11 Workshop (October 4th, 2011, TU Berlin, Germany) (2011)
- In the post-proceedings of the Workshop "Visibility in Information Spaces and in Geographic Environments" a selection of research papers is presented where the topic of visibility is addressed in different contexts. Visibility governs information selection in geographic environments as well as in information spaces and in cognition. The users of social media navigate in information spaces and at the same time, as embodied agents, they move in geographic environments. Both activities follow a similar type of information economy in which decisions by individuals or groups require a highly selective filtering to avoid information overload. In this context, visibility refers to the fact that in social processes some actors, topics or places are more salient than others. Formal notions of visibility include the centrality measures from social network analysis or the plethora of web page ranking methods. Recently, comparable approaches have been proposed to analyse activities in geographic environments: Place Rank, for instance, describes the social visibility of urban places based on the temporal sequence of tourist visit patterns. The workshop aimed to bring together researchers from AI, Geographic Information Science, Cognitive Science, and other disciplines who are interested in understanding how the different forms of visibility in information spaces and geographic environments relate to one another and how the results from basic research can be used to improve spatial search engines, geo-recommender systems or location-based social networks.
- Preface (2012)
- Pixel-Oriented Network Visualization: Static Visualization of Change in Social Networks (2013)
- Most common network visualizations rely on graph drawing. While without doubt useful, graphs suffer from limitations like cluttering and important patterns may not be realized especially when networks change over time. We propose a novel approach for the visualization of user interactions in social networks: a pixel-oriented visualization of a graphical network matrix where activity timelines are folded to inner glyphs within each matrix cell. Users are ordered by similarity which allows to uncover interesting patterns. The visualization is exemplified using social networks based on corporate wikis.