1. Introduction
Social networking big data [1] is a collection of very huge data sets with a great diversity of types from social networks (e.g., Facebook, WeChat). The emerging paradigm of social networking and big data provide enormous novel approaches to efficiently adopt advanced networking communications and big data analytic schemas by using the existing mechanism. The rapid development of social networking big data brings revolutionary changes to our daily lives and global business, which has been addressed by recent research. However, attackers are taking advantages of social networks to achieve their malicious goals, making the security issue a critical concern when we use social networking big data in practice.
There are two important aspects of social networking big data due to the complexity and diversity. One is how to conduct social network analysis based on big data; the other is how to use big data analytic technique to ensure security of social networks using various security mechanisms. Current work on social networking big data focuses on information processing, such as data mining and analysis [2,3]. However, security, trust and privacy of social networking big data are remarkably significant for current researchers and practitioners to address and seek efficient methods to different threats. The special issue concentrates on the challenging topic ‘‘Social Networking Big Data’’, and aims to solicit original research papers that discuss foundational theories, new technologies, security, trust and privacy of social networking big data [4].
