Big Data and Social Media Analytics

This edited volume offers insightful techniques for analyzing big data from social media, making Big Data and Social Media Analytics an essential resource for researchers and practitioners.

This edited book provides a comprehensive overview of techniques addressing various aspects of big data collection and analysis, particularly from social media platforms. Big Data and Social Media Analytics delves into efficient compression methods for large networks and explores link prediction within hashtag graphs. It also emphasizes visual exploration of social media data and identifies motifs in multivariate datasets, showcasing the diverse applications of these analytical techniques.

Furthermore, the book discusses innovative approaches to social media surveillance, which can enhance search and rescue missions, and offers insights into recommenders for collaborative filtering and safe travel plans to high-risk destinations. The impact of cyber influence campaigns on platforms like YouTube is also analyzed, along with the effects of location on business ratings and the intricacies of bibliographical and co-authorship network analysis. Additionally, blog data analytics is covered, reflecting the growing importance of understanding online interactions.

Overall, Big Data and Social Media Analytics serves as a valuable resource for readers eager to grasp recent advancements in the rapidly evolving fields of social media and big data analytics. By compiling these trending topics, the book not only highlights the current state of the art but also encourages further exploration and research in this dynamic domain.