Titlebook: Big Data Factories; Collaborative Approa Sorin Adam Matei,Nicolas Jullien,Sean P. Goggins Book 2017 Springer International Publishing AG 20

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Teaching Students How (Not) to Lie, Manipulate, and Mislead with Information VisualizationTo avoid these pitfalls, data analysts should focus and embrace specific principles and practices that aim to represent complete, contextualized, comparable, and scalable information in a way that reveals rather than isolates the viewer and the problem at hand from the problem space it reflects.

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Introduction, every day. These traces of human behavior online are a unique source for understanding contemporary life behaviors, beliefs, interactions, and knowledge flows. The social connections we make online, which reveal multiple types of human connection, are also recorded on a scale and to a level of gran

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The Ten Adoption Drivers of Open Source Software That Enables e-Research in Data Factories for Open ically, the chapter discusses the emerging phenomena of big data and e-research, along with their various defining characteristics. Then the chapter makes a case for the importance of understanding the adoption of open source software for processing and harnessing big data. In other words, big data

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Aligning Online Social Collaboration Data Around Social Order: Theoretical Considerations and Measurduce content that has immediate impact. Intellectual, analytic, or symbolic collaboration in academia, business, or even government is now almost inconceivable without online support. Work on text and narratives has been entirely transformed by Internet-based sites. Of these, wiki sites are the most

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