基于大数据的进化网络影响力分析研究综述

Survey of Influence Analysis of Evolutionary Network Based on Big Data

社交影响力分析能够在社交网络中执行复杂行为分析,是现代信息和服务行业最重要的技术之一,越来越多的社交网络研究者把关注点放在社交影响力上。真实的社交网络是不断演化的而非静态的,进化网络的提出也带来了新的挑战和机遇,同时进化网络中海量的社交信息也为大数据分析技术的快速发展提供了强有力的支撑。文中对进化网络和影响最大化问题进行了论述,并讨论了社交影响力分析问题的传播模型和基于社交网络大数据的影响力分析方法,同时进一步整理了一些应用广泛的影响力算法。此外,还论述了大数据、进化网络与社交影响力最大化的关系。文中的目标是通过大规模社交网络中的影响力分析,帮助其他研究人员更好地理解现有的工作,为社交网络影响力分析提供新的思路。

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.