Multilayer Social Networks

This book provides a comprehensive examination of multilayer networks, integrating theoretical and practical insights for researchers across disciplines. Multilayer Social Networks is essential for understanding these complex systems.

In Multilayer Social Networks, the author explores a burgeoning interdisciplinary field that integrates various aspects of multilayer networks. This book serves as a comprehensive resource, bringing together both practical and theoretical insights on the subject. It covers essential topics such as data collection and analysis, modeling, and the mining of multilayer social network systems. The text also delves into the evolution of dynamic processes, including the critical phenomenon of information spreading across interconnected networks.

The focus on multilayer social networks is particularly significant, as these networks allow users to engage across multiple platforms simultaneously. Traditionally, research in this area has been fragmented, with separate communities in social network analysis, computer science, and physics developing independent models and methods. Multilayer Social Networks addresses this gap by unifying the existing knowledge and methodologies, fostering a more holistic understanding of the challenges and opportunities within this field.

To enhance the practical application of the concepts discussed, the book utilizes a single real dataset throughout its chapters. This approach not only illustrates the theoretical frameworks but also highlights the potential limitations of various analytical methods. By bridging the divide between different research communities, Multilayer Social Networks offers valuable insights for researchers and practitioners alike, guiding them toward new perspectives and future directions in the study of multilayer networks.