Social networking has increased drastically in recent years resulting in an increased amount of data being created daily. Furthermore diversity of issues and complexity of the social networks pose a challenge in social network mining. Traditional algorithm software cannot deal with such complex and vast amounts of data necessitating the development of novel analytic approaches and tools. This reference work deals with social network aspects of big data analytics. It covers theory practices and challenges in social networking. The book spans numerous disciplines like neural networking deep learning artificial intelligence visualization e-learning in higher education e-healthcare security and intrusion detection. |Big Data Analytics A Social Network Approach | Science Publishers
