Big data in complex and social networks by My T. Thai, Weili Wu, Hui Xiong

By My T. Thai, Weili Wu, Hui Xiong

This publication offers contemporary advancements at the theoretical, algorithmic, and alertness points of massive info in advanced and Social Networks. The publication contains 4 elements, protecting quite a lot of issues. the 1st a part of the ebook specializes in facts garage and information processing. It explores how the effective garage of information can essentially help extensive info entry and queries, which permits refined research. It additionally appears at how facts processing and visualization support to speak info basically and successfully. the second one a part of the e-book is dedicated to the extraction of crucial details and the prediction of websites. The booklet indicates how colossal info research can be utilized to appreciate the pursuits, place, and seek historical past of clients and supply extra actual predictions of consumer habit. The latter components of the e-book hide the security of privateness and safeguard, and emergent purposes of huge info and social networks. It analyzes the way to version rumor diffusion, determine incorrect information from big facts, and layout intervention concepts. functions of massive information and social networks in multilayer networks and multiparty platforms also are coated in-depth.

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In this subsection, we focus on the problem of optimal file placement in different cache memories lying at various components of a mobile cellular network. 1 for achieving efficiency, since it bears similar social and complex characteristics, as well as a similarly large-scale nature, as will be explained in the following. The size and especially the number of the available files becomes extremely large and the number of the connected devices is increasing [39]. In this subsection, we describe a formulation of an optimization problem for distributing files having a complex networked structure over a large number of heterogeneous caches in a fair way, targeting at reducing the system delay of file downloading.

Stai, J. S. Baras, S. Papavassiliou, “Social Networks over Wireless Networks”, in Proc. of the 51st IEEE Conf. on Decision and Control (CDC), Hawaii, Dec. 2012. 33. E. Stai, S. Papavassiliou, J. S. 2360942, October 2014. 34. E. Stai, S. Papavassiliou, J. S. Baras, “A Coalitional Game Based Approach for Multi-Metric Optimal Routing in Wireless Networks”, in Proc. of the 24th Annual IEEE Int’l Symposium on Personal, Indoor and Mobile Radio Commun. (PIMRC), pp. 1935-1939, London, UK, Sept. 2013. 35.

1 new links can be added only between a newcomer and an existing node. 1 is maximized. HyperMap assigns hyperbolic coordinates to the nodes inside the Poincare disk by maximizing approximately but in an efficient manner a globally defined likelihood function over the node pairs’ hyperbolic distances (which are functions of nodes’ hyperbolic coordinates) expressed considering the given complex network’s links. , birth) times of the given network’s nodes (let t denote their number). 1. , with sequence number i, via maximizing a local likelihood function defined for node i equivalently to maximizing the aforementioned global likelihood function with respect to θi .

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