Chair

Barbara Guidi, University of Pisa, Italy, [email protected]

Co-Chair

Giulio Rossetti, University of Pisa, Italy, [email protected]

Scope

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

Authors are solicited to submit original, previously unpublished papers in the following, but not limited to, topic areas:

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

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:

All accepted authors are eligible to submit an extended version in a fast track of: