About this Research Topic
We are anticipated to perform analysis of multi-layered online social networks, including network modeling, network construction, network analysis, etc. Through the analysis of multi-layered networks from data, we are supposed to provide helpful insights into the study of online social networks from multi-plant forms, such as network construction through artificial intelligence approaches, source identification, influence maximization and spreading dynamics prediction. Through analysis of the interactions between offline and online networks, we are supposed to get more insights regarding the development of modern online social networks.
This Research Topic aims to extend the angles and collect articles that focus on data-driven mathematical or statistical models of online social networks, also analysis of interactions between online and offline networks. Furthermore, we also want to understand the dynamic prediction on multi-layered networks and provide efficient suggestions for the spreading of desired information. The editors and reviewers of this Research Topic will guarantee a fast, but fair, peer-to-peer review procedure, to provide to society a reliable injection of scientific insights. High-quality Original Research and Review articles in this field are all welcome for submission to this Research Topic. Research interests include but are not limited to the following areas:
1. Modeling of multiplex networks
2. Nonlinear dynamics investigation of social networks
3. Network construction from data
4. Online social network analysis
5. Machine learning and big data analysis of social networks
6. Source identification in online networks
7. Community detection in multi-layered and dynamic networks
8. Attack and defense of social networks
9. Application to economics, engineering and other aspects related to social science
Keywords: network dynamics, multi-layered networks, network construction, community detection, social networks
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.