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One of the most important technologies in modern information and service industry is social influence analysis.More and more researchers in social networks focus on social influence.Real social networks are evolving rather than static.The proposal of evolutionary network also brings new challenges and opportunities.At the same time,the massive social information in the evolutionary network also provides strong support for the rapid development of big data analysis technology.In this paper,evolutionary network and influence maximization are discussed.It also discusses the diffusion model of social influence analysis and the influence analysis method based on social network big data.At the same time,some widely used influence algorithms are further sorted out.In addition,this paper also discusses the relationship between big data,evolutionary networks,and social influence maximization.This paper aims to help other researchers to better understand the existing work and provide new ideas for the influence analysis of social networks through the influence analysis of large-scale social networks.

At present, reusable launch vehicle technology (RLV) has become a research hotspot in the aerospace field and one of the major development trends in this industry. With reference to the aircraft carrier's arresting cable technology, this paper puts forward a novel cable-net buffer device for recovering the first stage of launch vehicle. The device can transfer load through a cable-pulley mechanism, and then complete the first stage recovery by losing the kinetic energy and gravitational potential energy of the first stage through hydraulic dampers and preloaded counterweights. In order to analyze the performance of this cable-net buffer device, the finite element software ABAQUS is adopted to establish a rigid-flexible coupling dynamic model. In this model, the cable-pulley mechanism is simulated by connector and shell elements, the damping force of the hydraulic dampers by VUAMP subroutine, and the preloaded counterweights by mass point. And then, performance evaluation indexes of this buffer device are proposed in this paper. Meanwhile, the dynamic simulation, using the established dynamic model, is carried out under different device design parameters and working condition parameters. On the one hand, the simulation results show that the tower span and damping force have remarkable effects on the buffer performance. On the other hand, among all working condition parameters, only the fall point deviation has a significant effect on the buffer performance, but this effect is less than that of the design parameters. Finally, combing the dynamic model and the surrogate model technique, this paper obtains feasible boundaries of design parameters of the device for the subsequent detailed design of it. Researches in this paper will provide new ideas for the development of RLV. [ABSTRACT FROM AUTHOR]

It is aimed to evaluate the effectiveness and provide evidence‐based medical support for acupuncture as a prophylactic treatment for migraines. Randomized controlled trials (RCTs) from inception to April 2022 are included in 14 databases. Pairwise meta‐analysis is conducted using STATA software V14.0, while Windows Bayesian Inference Using Gibbs Sampling (WinBUGS V.1.4.3) is applied to generate Bayesian Network Meta‐analysis (NMA) using Markov chain Monte Carlo algorithm. Forty RCTs are included, with 4405 participants. The effectiveness of six acupuncture techniques, three types of prophylactic drugs, and psychotherapy are compared and ranked. Acupuncture outperformed prophylactic drugs in terms of diminishing visual analog scale (VAS) score, migraine attack frequency, and days during the treatment and at the 12‐week follow‐up. At the 12‐week follow‐up, the effectiveness of various interventions is ranked as follows: manual acupuncture (MA) > electroacupuncture (EA) > calcium antagonists (CA) in reducing VAS score; MA > EA > CA in reducing migraine attack frequency; MA > EA > β‐receptor blocker and CA in reducing headache attack days. Acupuncture is a promising treatment for migraine prevention. The best option of acupuncture for improving various migraine outcomes has changed over time. However, the quality of included trials and NMA inconsistency limited the credibility of the conclusion. [ABSTRACT FROM AUTHOR]