Recommender systems are used to provide filtered information from a large amount of
elements. They provide personalized recommendations on products or services to users …

In this paper, a methodology is presented and employed for simulating the Internet of Things
(IoT). The requirement for scalability, due to the possibly huge amount of involved sensors …

Decentralised social networks promise to deliver highly personalised, privacy-preserving,
scalable and robust implementations of key social network features, such as search, query …

In organizational environments, such as in hospitals, data have to be processed, preserved,
and shared with other organizations in a cost-efficient manner. Moreover, organizations …

The popularity of smart phones fosters the growth of Proximity-based Mobile Social
Networking (PMSN). Although some profile matching approaches have been proposed to …

Decentralised recommenders have been proposed to deliver privacy-preserving,
personalised and highly scalable on-line recommendations. Current implementations tend …

Traditional web-based Question and Answer (Q&A) websites cannot easily solve non-factual
questions to match askers' preference. Recent research efforts begin to study social-based …

The aim of this article is to provide an understanding of social networks as a useful addition
to the standard toolbox of techniques used by system designers. To this end, we give …

Decentralized topology construction protocols organize nodes along a predefined topology
(eg a torus, ring, or hypercube). Such topologies have been used in many contexts ranging …

In the context of Web 2.0, the users become massive producers of diverse data that can be
stored in a large variety of systems. The fact that the users' data spaces are distributed in …