Chapter 1. Walk through social network analysis: opportunities, limitations, and threats -- Chapter 2. Graph tools for social network analysis -- Chapter 3. An approach to mining information from telephone graph using graph mining techniques -- Chapter 4. A dynamic and context-aware social network approach for multiple criteria decision making through a graph-based knowledge learning -- Chapter 5. Undirected bipartite networks as an alternative methodology to probabilistic exploration: online interaction and academic attainment in MOOC -- Chapter 6. Social network analysis of different parameters derived from real-time Facebook profiles -- Chapter 7. Context specific modeling of communicational and informational content in Facebook -- Chapter 8. Hadoop-based distributed K-Shell decomposition for social networks -- Chapter 9. Parallelizing large-scale graph algorithms using the Apache Spark-Distributed memory system -- Chapter 10. Link prediction in social networks -- Chapter 11. Visualizing co-authorship social networks and collaboration recommendations with CNARe -- Chapter 12. Community detection in large-scale social networks: a survey -- Chapter 13. Spreading activation connectivity based approach to network clustering -- Chapter 14. Scalable method for information spread control in social networks -- Chapter 15. The eternal-return model of human mobility and its impact on information flow -- Chapter 16. Towards a Unified Semantic Model for online social networks to ensure interoperability and aggregation for analysis -- Chapter 17. Can we trust the health information we find online? Identification of influential nodes.