SNW 2017 - Social Networking Workshop

Social networking is profoundly changing the way people communicate and interact on a daily basis. Online social networks are serving as a vital means for supporting information and resource sharing, aiding discovery of connected individuals, improving communication between globally dispersed individuals, and even measuring scientific impact.A significant fraction of mind-share in the form of applications, diverse access interfaces, and a large economic ecosystem has developed around this field. Going past the simple characterization and enumerationof properties, the networking research community has shown significant interest in attacking various problems associated with social networks. The proposedworkshop strives to bring together academic, R&D, and industry researchers from these disciplines to address both the science and engineering challenges associated with the rapidly evolving domain of social networking.This year thesocial network workshop will have a special focus on social sensing. In recent years, there has been a large number of new sensor applications that collect data which can be directly associated with human interactions. Examples include GPS applications on mobile devices, or location sensors designed to track human or vehiculartraffic. This allows for the building of rich applications where one can use the sensor data in order to model the underlying relationships and interactions in the form of networks, and in particular, time/location-varying networks. However, this also might lead to a number of challenges and it is important to be ableto mine such data without violating the privacy of the users. Since the information contributed by users in social sensing applications is usually open in nature, this also leads to issues of trust in making inferences from the underlying data. The workshop shall focus on these issues and try to assemble world leaders in this area through keynote and invited talk sessions.
Topics of Interest:
The goal of this workshop is to facilitate cross-disciplinary discussionsof relevance to social networking, involving novel ideas and applications, andexperimental results. This workshop provides an opportunity to compare and contrast the ethological approach to social behaviour in human with web-based evidence of social interaction, perceptual learning, information granulation, the behaviour of humans and affinities between web-based social networks. This workshop welcomes contributions from researchers working on the followingtopics of interest, including, but not limited to:
Automatic discovery and analysis of Web based social networks
Visualization of social networks
Social networks and social intelligence
Link topology and site hierarchy
Virtual and web communities and web site clustering
Security, privacy and trust computational analysis of social networks
Web-based cooperative work
Knowledge community formation and support
Intelligent wireless Web
Social network analysis and mining of communities of practice
Network evolution and growth mechanisms
Information diffusion and knowledge transfer in social networks
Epidemics and rumours in networks
Geographical clusters, networks, and innovation
Anomaly detection in social network
Outlier detection in social network
Quantifying success through social network analysis
Multiplex and interdependent networks
Computational models and agent-based simulations of networks
High dimensional network analytics
Big data techniques for social networks
Strategic social networks and game theoretic models
Networks based on social sensors
Temporal and spatial networks