社交网络中大数据研究新进展

New Progress of Big Data Research in Social Network

大数据技术与传统机器学习算法的融合对数据挖掘产生了新挑战,已成为数据挖掘、机器学习、信息融合等领域的重要研究问题。本文综述近年来社交网络中大数据的分析方法及算法,大数据在市场营销、犯罪识别、疾病预警、舆情分析、隐私保护等方面的应用现状,在此基础上指出社交网络中大数据的研究趋势:深化隐私保护研究、推广离线聚类算法及在线分析技术、社交网络中的用户行为模式研究。

The combination of big data technology and traditional machine learning algorithms has generated new challenges for data mining, and has become an important issue for a large number of research areas such as data mining, machine learning, information fusion and so on. In this paper, the analysis method and model for big data in social network and the application of big data to marketing, criminal identification, disease warning, public opinion analysis, privacy protection and etc. are summarized. Based on that, the research trend of big data in social network is pointed out, namely strengthening privacy protection, promoting offline clustering algorithm and online analysis technology, and carrying on user behavior pattern research in social networks.