36 research outputs found

    A survey of visualization tools for biological network analysis

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    The analysis and interpretation of relationships between biological molecules, networks and concepts is becoming a major bottleneck in systems biology. Very often the pure amount of data and their heterogeneity provides a challenge for the visualization of the data. There are a wide variety of graph representations available, which most often map the data on 2D graphs to visualize biological interactions. These methods are applicable to a wide range of problems, nevertheless many of them reach a limit in terms of user friendliness when thousands of nodes and connections have to be analyzed and visualized. In this study we are reviewing visualization tools that are currently available for visualization of biological networks mainly invented in the latest past years. We comment on the functionality, the limitations and the specific strengths of these tools, and how these tools could be further developed in the direction of data integration and information sharing

    Facebook affordances and citizen engagement during elections: European political parties and their benefit from online strategies?

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    This paper examines how Facebook is used by political parties during elections to extend or accelerate their reach within the electorate and how successful these efforts are. Specifically, we compare the content and style of parties’ Facebook posts during the 2014 European parliament elections, and how this affects followers’ responses in terms of liking, sharing and commenting on the posts. Our findings reveal while that the timing and visual content of posts are important in increasing voters’ attention, interactivity matters most. Responsive party posts on Facebooks are significantly more likely to be shared, liked, and commented on by users. Given that follower reactions, particularly sharing, helps to increase the visibility of party communication through indirect or two-step flow communication (online and offline), these findings are important in advancing our understanding of how and why social media campaigns are able to influence voters and thus affect election outcomes. For parties themselves the results provide some useful insights into what makes for an ‘effective’ Facebook campaign in terms of how they can accelerate the reach of their communication

    Inter-Process Communication in a Virtualized Environment

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    Selecting the correct inter-process communication method isan important aspect of ensuring effective inter-vm and inter-container process communication. We will conduct a study ofIPC methods which might be useful and fits the Qemu/KVMvirtual machine and Docker container environments, and se-lect those that fit our criteria. After implementing our chosenmethods we will benchmark them in a test suite to find theones with highest performance in terms of speed. Our resultsshow that, at the most common message sizes, Unix DomainSockets work best for containers and Transparent Inter Pro-cess Communication has the best performance between vir-tual machines out of the chosen methods
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