In: Journal of Statistical Mechanics: Theory and Experiment, 2018, vol. 2018, no. 12, p. 123404
Spreading phenomena in complex networks have attracted much attention in recent years. However, most of the previous works only concern the critical thresholds and final states of the spread. In this paper, we investigate the empirical spreading paths in real location-based networks and find an abnormal phenomenon that the transferring probability of an epidemic between users varies with...
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In: Scientific Reports, 2015, vol. 5, p. 17459
Controlling complex networks is of paramount importance in science and engineering. Despite recent efforts to improve controllability and synchronous strength, little attention has been paid to the speed of pinning synchronizability (rate of convergence in pinning control) and the corresponding pinning node selection. To address this issue, we propose a hypothesis to restrict the control cost,...
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In: Physica A: Statistical Mechanics and its Applications, 2015, vol. 436, p. 216–223
As a fundamental problem in many different fields, link prediction aims to estimate the likelihood of an existing link between two nodes based on the observed information. Since this problem is related to many applications ranging from uncovering missing data to predicting the evolution of networks, link prediction has been intensively investigated recently and many methods have been proposed so...
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In: Scientific Reports, 2015, vol. 5, p. 11404
Node similarity significantly contributes to the growth of real networks. In this paper, based on the observed epidemic spreading results we apply the node similarity metrics to reconstruct the underlying networks hosting the propagation. We find that the reconstruction accuracy of the similarity metrics is strongly influenced by the infection rate of the spreading process. Moreover, there is a...
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