Collection
CSoNet = Computational Data and Social Networks 2021
CSoNet provides a premier interdisciplinary forum to bring together researchers and practitioners from all fields of big data networks, such as billion-scale network computing, data network analysis, mining, security and privacy, and deep learning. CSoNet seeks to address emerging yet important computational problems, with a focus on the fundamental background, theoretical technology development, and real-world applications associated with big data network analysis, modeling, and deep learning. The conference solicits theoretical, methodological, empirical, and experimental research reporting original and unpublished results on computational big data networks.
Articles (2 in this collection)
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On streaming algorithms for maximizing a supermodular function plus a MDR-submodular function on the integer lattice
Authors (first, second and last of 4)
