An introduction to social network data analytics / Charu C. Aggarwal --
Statistical properties of social networks / Mary McGlohon, Leman Akoglu and Christos Faloutsos --
Random walks in social networks and their application : a survey / Purnamrita Sarkar and Andrew W. Moore --
Community discovery in social networks : applications, methods and emerging trends / S. Parthasarathy, Y. Ruan and V. Satuluri --
Node classification in social networks / Miriti Bhagat, Graham Cormode and S. Muthukrishnan --
Evolution in social networks : a survey / Myra Spiliopoulou --
A survey of models and algorithms for social influence analysis / Jimeng Sun and Jie Tang --
A survey of algorithms and systems for expert location in social networks / Theodoros Lappas, Kun Liu and Evimaria Terzi --
A survey of link prediction in social networks / Mohammad Al Hasan and Mohammed J. Zaki --
Privacy in social networks : a survey / Elena Zheleva and Lise Getoor --
Visualizing social networks / Carlos D. Correa and Kwan-Liu Ma --
Data mining and social media / Geoffrey Barbier and Huan Liu --
Text mining in social networks / Charu C. Aggarwal and Haixun Wang --
Integrating sensors and social networks / Charu C. Aggarwal and Tarek Abdelzaher --
Multimedia information networks in social media / Liangliang Cao [and others] --
An overview of social tagging and applications / Manish Gupta [and others].

Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science