COSN 2013 - 2013 ACM Conference on Online Social Networks

ACM Conference on Online Social Networks (COSN'13)
October 7-8, 2013
Boston, USA
With well over a billion people as members, today's online social networks (OSN) pervade all aspects of our daily lives. OSNs have grown beyond platforms for social communication and news dissemination, to indispensable tools for professional networking, social recommendations, and online content curation. Their usage has influenced today's societal and cultural issues, and changed the way we see ourselves and communicate with each other.
Not surprisingly, study and research in OSNs is highly interdisciplinary, and participants include researchers from networking and systems, databases and data mining, security and privacy, and modeling and analysis. For a number of years, researchers have published in disparate venues focused in their own areas, and have lacked a common platform to congregate and exchange ideas. This has limited communication between like-minded researchers, and led to repeated and sometimes conflicting results across disjoint venues.
The COSN (Conference on Online Social Networks) is organized with this challenge in mind. Our goal is to provide a premier publication venue that features high quality research from academia and industry across multiple disciplines focused around the study of OSNs. Of particular interest are works that focus on systems, security and privacy, graphs, data management, analysis, and data mining. We solicit papers in broad areas relevant to the design, analysis and development of OSNs.
Call for Papers
Topics of interest include:
Novel social applications and systems
Systems and algorithms for social search
Infrastructure support for social networks and systems
Social properties in systems design
Clean-slate designs for social systems
Measurement and analysis of social and crowdsourcing systems
Graph analysis and visualization
Processing and query optimization for large graphs
Management of social network data
Modeling Social Networks and behavior
Streaming algorithms for social data
Benchmarking, modeling, performance and workload characterization
Information extraction and diffusion
Data mining and machine learning in social networks
Privacy in data collection and management
Privacy and Security in social systems
Privacy-preserving mechanisms for social and mobile data analysis
Information disclosure and its impact on social networks
Tracking social footprint / identities across social networks
Trust systems and trustworthiness of social content/media
Trust and reputations in social systems
Detection, analysis, prevention of spam, phishing, and misbehavior in social systems
Social and psychological understanding of these topics
Program Committee
Rakesh Agrawal Microsoft Research, USA
Jussara Almeida Federal University of Minais-Gerais, Brazil
Lerone Banks Federal Trade Commission, USA
Steven Bellovin Columbia University/FTC, USA
Smriti Bhagat Technicolor Palo Alto, USA
Augustin Chaintreau Columbia University, USA
Meeyoung Cha KAIST, Korea
Graham Cormode University of Warwick, UK
Jon Crowcroft University of Cambridge, UK
Nilesh Dalvi Facebook, USA
Amr El Abbadi UC Santa Barbara, USA (PC co-chair)
Peter Gloor MIT, USA
Matthias Grossglauser EPFL, Lausanne, Switzerland
Krishna Gummadi MPI-SWS, Germany
Anne-Marie Kermarrec INRIA, France
Balachander Krishnamurthy AT&T Labs--Research, USA (PC co-chair)
Silvio Lattanzi Google New York, USA
Cecilia Mascolo University of Cambridge, UK
Muthu Muthukrishnan Microsoft & Rutgers University, USA
Daniele Quercia Yahoo! Research, Barcelona, Spain
Jie Tang Tsinghua University, China
Ben Zhao UC Santa Barbara, USA