Titlebook: Data Science and Social Research; Epistemology, Method N. Carlo Lauro,Enrica Amaturo,Marina Marino Conference proceedings 2017 Springer Int

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Conference proceedings 2017f data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, cluste

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Sparsity Data Reduction in Textual Network Analysis to seek the common meaning of the term sustainability by using an affiliation matrix characterized by a core–periphery structure. The application of BiMax biclustering algorithm shows a sparsity reduction of the unweighted adjacency matrix with an invariant network structure.

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Xin Sun,Dachuan Xu,Dongmei Zhang,Yang Zhouof the White House Press Briefings from 1993 to 2014. Primary objective of this paper is to demonstrate that TRI can be used in conjunction with Critical Discourse Analysis (CDA) theories as an easily adaptable tool applicable to the analysis of the so-called . moments where US administration has to cope with risky and serious scenarios.

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Raed Alharbi,Lan N. Nguyen,My T. Thaiing the complexity of Italian higher education students’ careers; (3) analyse the factors (also contextual) that have had an impact on the success/failure throughout the students’ academic careers (through Event History analysis, EH).

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