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The diffusion of online social networks (OSN) has had a profound effect on the way we interact and a deep impact on society and business. Social networks have helped people to communicate breaking down the geographical barriers that restricted communication. Through social networks virtual communication, sharing of information, community participation is possible even among people in unconfortable conditions. Analysis of social networks content can help to foresee events to manage critical scenarios.
The rapid growth in popularity has opened new challenging problems which involve numerous fields in computer science. These issues have implications on community discovery, information diffusion, social graph analysis, trust and security and so on. Moreover, privacy issues and the usage of mobile devices has opened new research fields in the design of decentralized online social networks.
The track targets researchers, doctoral students, people from industry and other people interested in discussing, reflecting and networking on central themes associated with the development and the use of social networks. Paper on both theoretical and design aspects of social networks are welcomed, which describe and evaluate novel design methods and system prototypes. The track also welcomes work in progress and position papers.
Topics of interest include but are not limited to:
• Social Networks Design and Analysis
• Security and Privacy in OSNs
• Reputation and Trust in OSNs
• Distributed Social Networking applications: P2P, Cloud and Mobile
• Data Replication and Dissemination in distributed OSNs
• Sentiment Analysis
• Data Mining and Machine Learning for OSNs
• Recommender systems for OSNs
• Communities in OSNs
• Complex Network Analysis in OSNs
• Dynamic Network Analysis in OSNs
• Collaboration and Knowledge Management
• Event forecasting using OSNs data
• Economic and Social effects
• Ethical Issues
• Blockchain solutions for OSNs.
• Augmented Reality/Virtual Reality in OSNs and Social Media.
• Diffusive processes over OSNs
• Fake news detection and analysis on OSNs
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Chair
Barbara Guidi, University of Pisa, Italy, [email protected]
Co-Chair
Giulio Rossetti, University of Pisa, Italy, [email protected]
Publication
All registered papers will be published by ACM and made available through ACM Digital Library.
Papers should be in English.
Regular papers should be up to 6 pages in length.
PhD track papers should be up to 2 pages in length.
Previously published work may not be submitted, nor may the work be concurrently submitted to any other conference or journal. Such papers will be rejected without review.
Proceedings will be submitted for inclusion in leading indexing services, Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).
Authors of selected best accepted and presented papers will be invited to submit an extended version to:
Mobile Networks and Applications (MONET) Journal (IF: 2.497)
Concurrency and Computation: Practice and Experience Journal (IF:1.114)
All accepted authors are eligible to submit an extended version in a fast track of:
EAI Endorsed Transactions on Cloud Systems
EAI Endorsed Transactions on Serious Games
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