Identifying Multiple Influential Users Based on the Overlapping Influence in Multiplex Networks

Online social networks (OSNs) are interaction platforms that can promote knowledge spreading, rumor propagation, and virus diffusion. Identifying influential users in OSNs is of great significance for accelerating the information propagation especially when information is able to travel across multiple channels. However, most previous studies are limited to a single network or select multiple influential users based on the centrality ranking result of each user, not addressing the overlapping influence (OI) among users. In practice, the collective influence of multiple users is not equal to the total sum of these users' influences. In this paper, we propose a novel OI-based method for identifying multiple influential users in multiplex social networks. We first define the effective spreading shortest path (ESSP) by utilizing the concept of spreading rate in order to denote the relative location of users. Then, the collective influence is quantified by taking the topological factor and the location distribution of users into account. The identified users based on our proposed method are central and relatively scattered with a low overlapping influence. With the Susceptible-Infected-Recovered (SIR) model, we estimate our proposed method with other benchmark algorithms. Experimental results in both synthetic and real-world networks verify that our proposed method has a better performance in terms of the spreading efficiency. © 2013 IEEE

A new nature-inspired optimization for community discovery in complex networks

The community structure, owing to its significant status, is of extraordinary significance in comprehending and detecting inherent functions in real networks. However, the community structures are always hard to be identified, and whether the existing algorithms are based on optimization or heuristics, the robustness and accuracy should be improved. The physarum (i.e., slime molds with multi heads) has proved its ability to produce foraging networks. Therefore, we adopt physarum so that the optimization-based community detection algorithms can work more efficiently. Specifically, a physarum-based network model (pnm), which is capable of identifying inter-edges of the community in a network, is used to optimize the prior knowledge of existing evolutional algorithms (i.e., genetic algorithm, particle swarm optimization algorithm and ant colony algorithm). the optimized algorithms have been compared with some advanced methods in synthetic and real networks. experimental results have verified the effectiveness of the proposed method

Effects of mind-body practice on arterial stiffness, central hemodynamic parameters and cardiac autonomic function of college students

A substantial number of studies have shown the beneficial effects of mind-body practice on physical fitness among both the healthy middle-aged and elderly adults and patients with chronic diseases. However, its positive effects on college students remain poorly understood. This study aimed to systematically investigate the potential efficiency of the Baduanjin exercise on the maintenance of the homeostasis of body composition and the improvement of the cardiovascular function of the college students. The study revealed a promising efficacy of the Baduanjin exercise in the prevention of the loss of water, inorganic salts, protein, and muscle contents and the accumulation of body fat. Furthermore, the present study also demonstrated the positive efficacy of Baduanjin exercise in decreasing of peripheral and central arterial blood pressure and carotid and femoral artery pulse wave velocity (cfPWV) of the college students. Moreover, the heart rate variability (HRV) analysis was also performed using the assessment of time and frequency domain indices. The data showed that all of the time domain indices and the high-frequency (HF) band of the HRV relatively increased, whereas the low-frequency (LF) band of the HRV relatively decreased after the long-term Baduanjin exercise. Collectively, the present study suggested that a 12-week Baduanjin exercise could maintain the body composition in a relatively healthy and stable range and improve blood pressure, central hemodynamics, and the arterial stiffness of the college students. The underlying mechanism might be due to the improvement of parasympathetic activity and the suppression of sympathetic activity of college students via Baduanjin exercise

Immunomodulatory Effects of (24R)-Pseudo-Ginsenoside HQ and (24S)-Pseudo-Ginsenoside HQ on Cyclophosphamide-Induced Immunosuppression and Their Anti-Tumor Effects Study

(24R)-pseudo-ginsenoside HQ (R-PHQ) and (24S)-pseudo-ginsenoside HQ (S-PHQ) are the main metabolites of (20S)-ginsenoside Rh2 (Rh2) in vivo. In this study, we found that Rh2, R-PHQ, and S-PHQ upregulated the innate and adaptive immune response in cyclophosphamide (CTX) induced-immunocompromised mice as evidenced by the number of leukocytes, cellular immunity, and phagocytosis of macrophages. Spleen T-lymphocyte subpopulations and the serum cytokines level were also balanced in these immunosuppressed mice. Furthermore, co-administration with R-PHQ or S-PHQ did not compromise the antitumor activity of CTX in the hepatoma H22-bearing mice. Treatment with R-PHQ and S-PHQ clearly induced the apoptosis of tumor cells, significantly increased the expression of Bax, and remarkably inhibited the expression of Bcl-2 and vascular endothelial growth factor (VEGF) in H22 tumor tissues. The anti-tumor activity of R-PHQ and S-PHQ could be related to the promotion of tumor apoptosis and inhibition of angiogenesis and may involve the caspase and VEGF signaling pathways. This study provides a theoretical basis for further study on R-PHQ and S-PHQ