In: Physics Reports, 2019, vol. 817, p. 1–104
Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic status are significant for economic development. The understanding of socioeconomic processes provides foundations to quantify global economic development, to map regional industrial structure, and to infer individual socioeconomic status. In this review, we will make a brief manifesto about a new ...
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In: Journal of Computer Science and Technology, 2011, vol. 26, no. 5, p. 767-777
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In: The European Physical Journal B, 2008, vol. 66, no. 4, p. 557-561
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In: The European Physical Journal B, 2009, vol. 71, no. 4, p. 623-630
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In: Proceedings of the National Academy of Sciences, 2015, vol. 112, no. 8, p. 2325–2330
The organization of real networks usually embodies both regularities and irregularities, and, in principle, the former can be modeled. The extent to which the formation of a network can be explained coincides with our ability to predict missing links. To understand network organization, we should be able to estimate link predictability. We assume that the regularity of a network is reflected in...
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In: Physica A: Statistical Mechanics and its Applications, 2014, vol. 404, p. 47–55
Identifying influential spreaders is crucial for understanding and controlling spreading processes on social networks. Via assigning degree-dependent weights onto links associated with the ground node, we proposed a variant to a recent ranking algorithm named LeaderRank (Lü et al., 2011). According to the simulations on the standard SIR model, the weighted LeaderRank performs better than...
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In: The Scientific World Journal, 2013, vol. 2013, p. -
An SEI autonomous model with logistic growth rate and its corresponding nonautonomous model are investigated. For the autonomous case, we give the attractive regions of equilibria and perform some numerical simulations. Basic demographic reproduction Rd number is obtained. Moreover, only the basic reproduction number R0 cannot ensure the existence of the positive equilibrium, which needs...
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In: PLoS ONE, 2013, vol. 8, no. 10, p. e77455
Identifying influential nodes in very large-scale directed networks is a big challenge relevant to disparate applications, such as accelerating information propagation, controlling rumors and diseases, designing search engines, and understanding hierarchical organization of social and biological networks. Known methods range from node centralities, such as degree, closeness and betweenness, to...
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