Social aspects are an integral part of today’s Web, and the widespread use of the Web to connect, share and tap into collective knowledge provides a wealth of actionable data.

Social Web data is valuable for many stakeholders, including developers, researchers, marketers, and decision-makers. Users and crowds play a central role in the generation of social knowledge, either passively as a result of interaction with social networks and social media; or actively, by means of the so-called crowdsourcing and human computation applications. Successfully tapping into the social data knowledge, and gathering, integrating, analyzing, and visualizing complex, heterogeneous social data, and putting it to good use are major current challenges.

The aim of this track is to solicit original contributions in three main areas related to the Social Web: Engineering and Applications of/for the Social Web; Social Web users analysis and modeling; and Social Web data management. We also welcome position papers exploring the potential of the Social Web beyond current models, technologies and applications, e.g. health, home automation, urban computing, etc.

For paper categories, submission instructions and deadlines, please see the ICWE submission page.

Track Chairs
Alessandro Bozzon, Delft University of Technology, the Netherlands
Sven Casteleyn, Jaume I University, Spain

Topics of interest

Engineering and Applications:

  • Social Web systems design, architectures, and computational models
  • Social Web applications interoperability
  • Design of collective intelligence and crowdsourcing applications
  • Use cases and experiences with human computing and crowdsourcing applications
  • Social applications of the semantic and mobile Web
  • Social applications in enterprise environments
  • Design and engineering challenges in social web for new application fields, e.g., wearable devices, home automation, etc.


  • User modeling for/using the Social Web
  • Niche-sourcing and expert-sourcing in social platforms
  • Crowd engagement and activation strategies
  • User generated content and recommender systems
  • Content customization and adaptation on/using the Social Web
  • Privacy, security, reputation, and trust management on the Social Web
  • Community discovery and link prediction
  • Social interactions and behavior analysis for new application fields, e.g., wearable devices, home automation, etc.


  • Monitoring, integrating, analyzing, interpreting, and visualizing Social Web data
  • Social Web mining and search
  • Query languages for the Social Web
  • Multilingual aspects of the Social Web
  • Social search and social sensing
  • Semantics & reasoning in the Social Web, ontologies for social data
  • Analysis, structure, and dynamics of social networks
  • Integrating and exploiting novel sources of (social) data (e.g., wearable devices, home appliances, etc.)