SPAN 2017 - International Workshop on Sensor, Peer-to-peer and SociAl Networks (SPAN)

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 We highly encourage novel and innovative previously unpublished work, even reporting work in early stages. Topics revolve around the interplay of algorithms, tools and techniques applicable in sensor, p2p and social networks and include, but are not limited to:
- Social network analysis techniques applied to P2P, Sensor and distributed computing systems
- Socially informed Sensor/P2P infrastructures
- Social Network-inspired systems and designs for P2P and Sensor
- P2P and Sensor Network-based social networking architectures
- Socially Aware Sensor/P2P Overlay architectures and topologies
- Evolution of P2P and social communities and systems
- Reputation, incentives, and economics in P2P/Sensor/Social systems
- Mobile P2P and social networking systems
- User behavior analysis and modeling in Social Networks and applications to P2P and Sensor networks
- Cloud and Big Data issues related to SPAN
- Decentralized Social Networks Applications
- Graph theoretic analysis of Sensor, P2P and Social networks
- Security, privacy and anonymity issues in SPAN
- Policy enforcement, participation incentives, trust, and reputation
- Cooperation, incentives, and fairness in SPAN.
- P2P, sensor and social network economics
Papers accepted for the SPAN 2017 workshop will be, after being presented at the workshop, included in the proceedings to be submitted for publication in IEEE Xplore and indexing by EI Compendex.
Important Dates:
When: Sunday, Jan. 29, 2017
Where: Silicon Valley, USA
Submission Deadline: August 15, 2016
Notification Due: September 30, 2016
Final/Camera-Ready Version Due: October 20, 2016
Organizing Committee:
üNarasimha Shashidhar, Sam Houston State University, Huntsville, TX, USA, karpoor-AT-shsu.edu
üLei Chen, Georgia Southern University, Statesboro, GA, USA, lchen-AT-georgiasouthern.edu
Tentative List of Technical Program Committee (TPC) Members
üDr. Peter Cooper, Sam Houston State University
üDr. Yuan Feng, Ocean University of China
üDr. Feng Hong, Ocean University of China
üDr. Chris Kadlec, Georgia Southern University
üDr. Chadi Kari, Bridgewater State University
üDr. Lixin Li, Georgia Southern University
üDr. Qingzhong Liu, Sam Houston State University
üDr. Hassan Takabi, University of North Texas
üDr. Rakesh Verma, University of Houston
üDr. Shaoen Wu, Ball State University
üDr. Ming Yang, Kennesaw State University
üDr. Qing Yang, Montana State University
üDr. Shengli Yuan, University of Houston-Downtown
üDr. Lian Liu, University of Kentucky
üDr. Hayden Wimmer, Georgia Southern University