Abstract
The rise of big data brings extraordinary benefits and opportunities to businesses and governments. Enterprise users can analyze their generated data in almost real time and infer the business value obtained timely, such as useful correlations, customer preferences, and hidden patterns. Such big data is usually generated or collected from different networks varying from social networks, communication networks, transportation networks, the World Wide Web (WWW), biological networks, citation networks, etc. To make sure such big network data be processed in real time, big data analytics need to be performed in networks of computing nodes, such as Hadoop and TensorFlow. In this entry, we give the definition of big network data. We then describe a historical background of big network data, which is in line with the evolving of large-scale distributed systems. We then elaborate on the foundations of big network data in networking technologies, such as wireless networks, cloud networks, social networks, and network monitoring. We finally present key applications of big network data in the areas of Internet of Things, network and cloud services, trading promotion, and next-generation networks.
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Xu, Z., Xia, Q., Yao, L. (2019). Big Network Data. In: Shen, X., Lin, X., Zhang, K. (eds) Encyclopedia of Wireless Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-32903-1_101-1
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DOI: https://doi.org/10.1007/978-3-319-32903-1_101-1
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