Recommender systems are proving to be an invaluable tool for extracting user-relevant
content hel** users in their daily activities (eg, finding relevant places to visit, content to …

We present WHATSUP, a collaborative filtering system for disseminating news items in a
large-scale dynamic setting with no central authority. WHATSUP constructs an implicit social …

This paper presents LiFTinG, the first protocol to detect freeriders, including colluding ones,
in gossip-based content dissemination systems with asymmetric data exchanges. LiFTinG …

Peer-sampling protocols constitute a fundamental mechanism for a number of large-scale
distributed applications. The recent introduction of WebRTC facilitated the deployment of …

Today's microblogging services such as Twitter have long outgrown their initial designs as
SMS-based social networks. Instead, a massive and steadily-growing user population of …

Gossip protocols are considered very effective to disseminate information in a large scale
dynamic distributed system. Their inherent simplicity makes them easy to implement and …

Gossip-based protocols provide a simple, scalable, and robust way to disseminate
messages in large-scale systems. In such protocols, messages are spread in an epidemic …

We present a thorough performance comparison of three widely used probabilistic gossip
algorithms over well-known random graphs. These graphs represent some large-scale …

Balancing Gossip Exchanges in Networks with Firewalls Page 1 Balancing Gossip
Exchanges in Networks with Firewalls J. Leitao, R. van Renesse and L. Rodrigues …

FIFO broadcast provides application ordering semantics of messages broadcast by the
same sender and have been mostly implemented on top of unreliable static networks. In this …