The ACM SIGMOD Workshop on Databases and Social Networks (DBSocial) aims to disseminate results founded on database research and practice that advance the state-of-the-art in the observation, management, and analysis of inherently networked data that results primarily from social phenomena. In particular, DBSocial is intended to foster a discussion about the role that the database community should play in the area of social network research. As such, DBSocial welcomes papers whose approaches are fundamentally centered on theoretical foundations and best practices in databases and very closely related areas such as data mining and information retrieval
Proceeding Downloads
Feed following: the big data challenge in social applications
Internet users spend billions of minutes per month on sites like Facebook and Twitter. These sites support feed following, where users "follow" activity streams associated with other users and entities. Followers get personalized feeds that blend ...
Social-data storage-systems
The amount of social data produced by a wide variety of social platforms grows every day. Storing and querying this huge amount of data in almost real time presents a challenge to storage systems in order to scale up to hundreds or thousands of nodes. ...
Boosting video popularity through recommendation systems
While search engines are the major sources of content discovery on online content providers and e-commerce sites, their capability is limited since textual descriptions cannot fully describe the semantic of content such as videos. Recommendation systems ...
Building a signed network from interactions in Wikipedia
We present in this paper results on inferring a signed network (a "web of trust") from interactions on user-generated content in Wikipedia. From a collection of articles in the politics domain and their revision history, we investigate mechanisms by ...
A rule-based policy language for selective trust propagation in social networks
Information spreading is a important topic in the area of Online Social Networks (OSNs). Typically, information flows in a careless way among directly connected members of the OSN ("friends"). In this way, it is possible that sensitive information is ...
A reachability-based access control model for online social networks
As a result of the widespread use of social networking sites, millions of individuals can today easily share personal and confidential information with an incredible amount of possibly unknown other users. This raises the need of giving users more ...
- Databases and Social Networks
Recommendations
Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
DBSocial '13 | 19 | 9 | 47% |
Overall | 19 | 9 | 47% |