Privacy-aware and scalable content dissemination in distributed social networks

摘要: Centralized social networking websites raise scalability issues -- due to the growing number of participants and policy concerns such as control, privacy ownership users' data. Distributed Social Networks aim solve those by enabling architectures where people own their data share it whenever whomever they wish. However, challenges are still be tackled. Here, we present a privacy-aware extension Google's PubSubHubbub protocol, using Semantic Web technologies, solving both in Networks. We enhanced traditional features order allow content publishers decide whom want information with, semantic dynamic group-based definition. also application this SMOB (our Microblogging framework). Yet, our proposal is agnostic, can adopted any system requiring scalable broadcasting.