Additional bibliography for study
•Exponential Random Graph Models for Social Networks: Theory, Methods and Applications (Structural Analysis in the Social Sciences)”, by Dean Lusher, Johan Koskinen and Garry Robins, Cambridge University Press, 2012.
•“Social Network Analysis (Quantitative Applications in the Social Sciences)” by David Knoke and Song Yang, SAGE, 2007.
•“Social Network Analysis and Education: Theory, Methods & Applications”, by Brian V. Carolan, SAGE, 2013.
•“Analyzing Social Networks”, by Stephen P. Borgatti, Martin G. Everett and Jeffrey C. Johnson, SAGE, 2013.
•“Large-Scale Data Analytics”, by Aris Gkoulalas-Divanis and Abderrahim Labbi, Springer, 2014.
•“Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn and Other Social Media Sites”, by Matthew A. Russell, O’Reilly, 2011.
•“Social Network Analysis for Startups: Finding connections on the social web”, by Maksim Tsvetovat and Alexander Kouznetsov, O’Reilly, 2011.
•“Social Network Analysis: A Handbook”, by John Scott, SAGE, 2000.
•“Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences)”, by Stanley Wasserman and Katherine Faust, 1994.
•“Graph Mining: Laws, Tools, and Case Studies”, by D. Chakrabarti and C Faloutsos, Morgan & Claypool, 2012. The book is a rather short one and covers only few of the tools (e.g., tensors) and applications at hand (e.g., community detection, diffusion).
•“Networks: an introduction” by M. Newman, Oxford University Press, 2010.
•“Networks, Crowds, and Markets”, by Easley and Kleinberg, Cambridge University Press, 2010.
•“Introduction to Computational Social Science”, by Claudio Cioffi-Revilla, Springer, 2014.