This book provides a broad overview of the state of the art of the
research in generative methods for the analysis of social media
data. It especially includes two important aspects that currently
gain importance in mining and modelling social media: dynamics and
networks. The book is divided into five chapters and provides an
extensive bibliography consisting of more than 250 papers. After a
quick introduction and survey of the book in the first chapter,
chapter 2 is devoted to the discussion of data models and
ontologies for social network analysis. Next, chapter 3 deals with
text generation and generative text models and the dangers they
pose to social media and society at large. Chapter 4 then focuses
on topic modelling and sentiment analysis in the context of social
networks. Finally, Chapter 5 presents graph theory tools and
approaches to mine and model social networks. Throughout the book,
open problems, highlighting potential future directions, are
clearly identified. The book aims at researchers and graduate
students in social media analysis, information retrieval, and
machine learning applications.
General
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