This event is endorsed
and organized by

2nd EAI International Conference on Smart Objects and Technologies for Social Good

November 30–December 1, 2016 | Venice, Italy

Track Session on

 Open Challenges in Online Social Networks


Co-chaired by:

Laura Ricci - University of Pisa, Italy, laura.ricci[AT]

Barbara Guidi - Istituto Informatica e Telematica, CNR, Italy, barbara.guidi[AT]


Follow the submission instructions at:


Motivation of the Track:

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 Network Design

●  Security and Privacy in OSN

●  Reputation and Trust

●  Distributed Social Networking applications: P2P, Cloud and Mobile

●  Techniques for Data Replication and Dissemination in distributed OSN

●  Social Graph Analysis

●  Sentiment Analysis

●  Data Mining and Machine Learning for OSN

●  Recommender systems for OSN

●  Communities in OSN

●  Collaboration and Knowledge Management

●  Event forecasting using OSN data

●  Economic and Social effects

●  Ethical Issues


Tentative Program Committee 


Matteo Dell'Amico, Symantec Research Labs, Sophia-Antipolis, France
Pedro Garcia Lopez, University Rovira i  Virgili, Spain
Barbara Guidi, University of Pisa,Italy
Kalman Graffi, University of Dusseldorf, Germany
Andrea Marino, University of Pisa, Italy
Anna Monreale, University of Pisa, Italy
Paolo Mori, IIT; CNR; Pisa, Italy
Amir H. Payberah, SICS, Swedish Institute of Computer Science, Sweden
Laura Ricci, University of Pisa, Italy
Giulio Rossetti, IIT, CNR, Pisa, Italy