Titlebook: Network Intelligence Meets User Centered Social Media Networks; Reda Alhajj,H. Ulrich Hoppe,Przemyslaw Kazienko Book 2018 Springer Interna

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Community Aliveness: Discovering Interaction Decay Patterns in Online Social Communitiest it is possible, with satisfactory prediction performance in terms of the F1-score and the accuracy, to predict the decay of the activity of the members of these communities using network-based attributes and network-exogenous attributes of the members. The upper bound of the prediction performance

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capture rate with applied voltage and the latter with an exponential capture rate. The open-pore noise plays a vital role in the signal-to-noise ratio of the measurement (and by extension, the detectability of an event) and several chemical, physical, electronic, and architectural measures are avai

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nanopore through the center of the DNH. The capabilities of the device are demonstrated using a series of three experiments involving nanoparticles, high-affinity protein ligand interactions and low-affinity protein-ligand interactions. The presence of optical trapping in the SANE sensor extended e

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Mareike Bockholt,Katharina A. Zweigolecule sensitivities allow probing of conformational motions, which are otherwise masked in ensemble-averaged experiments. Moreover, chemical reactions can now be observed on a single-molecule basis. For example, enzymatic turnovers of a few motor proteins [.–.] and a few enzymes [.–.] have been mo

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2190-5428 d topics, for example, interaction decay patterns in online social communities. This book will appeal to students, professors, and researchers working in the fields of data science, computational social science, and social network analysis.  978-3-030-07989-5978-3-319-90312-5Series ISSN 2190-5428 Series E-ISSN 2190-5436

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Ziyaad Qasem,Tobias Hecking,Benjamin Cabrera,Marc Jansen,H. Ulrich Hoppe

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