This timely book focuses on influence and behavior analysis in the broader context of social
network applications and social media. Twitter accounts of telecommunications companies are
analyzed. Rumor sources in finite graphs with boundary effects by message-passing algorithms
are identified. The coherent state-of-the-art collection of chapters was initially selected
based on solid reviews from the IEEE ACM International Conference on Advances in Social
Networks Analysis and Mining (ASONAM '17). Chapters were then improved and extended
substantially and the final versions were rigorously reviewed and revised to meet the series
standards. Original chapters coming from outside of the meeting round out the coverage. The
result will appeal to researchers and students working in social network and social media
analysis.
