We propose a new approach to visualize social networks. 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. Our approach adapts pixel-oriented visualization techniques to social networks as an addition to traditional graph visualizations. The visualization is exemplified using social networks based on corporate wikis.

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Documents are recommended by computer-based systems normally according to their prominence in the document reference network. Based on the requirements identified in a concrete use case for recommending scientific publications, the paper claims that merely measuring prominence is insufficient for high quality recommendations. We propose to use information from a trust network in addition to the document network in order to improve and to personalize recommendations. A trust-enhanced visibility measure integrates trust information and the classical reference based measures. A simulation study applies the new visibility measure to the presented use case.

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