SPAN 2017 aims to attract attention from the research community to the interplay of algorithmic tools and techniques in the collective fields of Sensor, P2P and Social Networks. Smart, wireless, networked sensors will soon be all around us, collectively processing vast amounts of previously unrecorded data to help run factories, optimize farming, monitor the weather and myriad other applications. It is clear that wireless sensor networks will become as important as the Internet, capable of routing application-specific data across a wireless mesh, ad hoc peer-to-peer network in which they organize themselves and assist each other in transmitting data. These advances made in the area of sensor networks will naturally have a profound impact on our understanding and operation of traditional Peer-to-peer (P2P) systems which are widely used in today's Internet. The confluence of ideas driving sensor and P2P systems is expected to be intensified by social networks. By attracting more than half a billion users worldwide, social networks provide a new venue of innovation with many challenging and practical research problems. In particular, as time evolves, P2P and future sensor network applications will necessarily need to involve social information to enhance the user’s experience.

SPAN 2017, aptly named for its goal, is organized with the objective of bringing together researchers working on the intersection of Sensor, Peer-to-Peer (P2P), and Social Networks to present and discuss their latest research results and ideas, thereby promoting the development and SPANning the evolution of this combined body of knowledge. All submissions enabling cross-pollination of ideas on P2P, Sensor and Social Networks related to design, simulation, security, analysis and measurement are welcome. We highly encourage novel and innovative previously unpublished work, even reporting work in early stages.