Fifth Social Networking Workshop at COMSNETS
Workshop Date: 7th January 2018
Social networking has changed the way people communicate. Online social networks (OSNs) support information and resource sharing, aid discovery of globally dispersed individuals, and even enable measurement of research impact. Several novel applications, diverse access interfaces, and a large economic system has developed around OSNs. Going past simple characterization of social media, the community has shown significant interest in addressing various research problems associated with the field. This workshop strives to bring together academia and industry to present developments on both research and engineering challenges associated with social networks.
This year, we plan to have a special theme of "credibility analysis". Social media content (or more generally, big data) has often been associated with the five V's: volume, velocity, variety, veracity and value. In recent years, there has been rising concern on the credibility, or the veracity aspect of the content spreading across social media. This is aggravated by the fact that recent publishing trends try to be the first source of information, leaving little time and resources for validating the truth or factuality of such content. Veracity directly affects the value of OSN content, while volume, velocity and variety make the problem even more challenging and necessitate the development of automated approaches for credibility assessment. This year's workshop invites original research on this relatively-understudied area, and will assemble thought leaders through the keynote and invited talks.
Topics of Interest:
The goal of this workshop is to facilitate cross-disciplinary discussions of relevance to social networking. Submissions should contain novel ideas and applications, and must be evaluated experimentally. This workshop provides an opportunity to compare and contrast human behaviour as known through sociology with Web-based evidence of social interactions. We welcome contributions from researchers working on the following topics 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
- Security, privacy and trust computational analysis of social networks
- Web-based cooperative work
- Knowledge community formation and support
- Social network evolution and growth mechanisms
- Information diffusion and knowledge transfer in social networks
- Epidemics and rumours in networks
- Community question-answering
- Anomaly and outlier detection in social network
- Multiplex and interdependent networks
- Computational models and agent-based simulations of networks
- High dimensional network analytics
- Big data techniques for social networks
- Game-theoretic strategies for social networks
- Temporal and spatial networks
- HCI for social media
- Credibility analysis of social media content
- Submissions must not exceed 6 pages (and not be less than 3 pages) in length including all figures, tables, and references.
- Submission must be in PDF format.
- Submissions must be through the EDAS portal: (To be updated soon)
- Reviews will be single-blind: authors name and affiliation should be included in the submission.
- Submissions must follow the formatting guidelines as given on IEEE Website.
- Submissions must be original work not under review at any other workshop, conference, or journal.
- Papers that violate any of these guidelines will be rejected without review.
At least one author of every accepted paper should attend the workshop to present the research.
All workshop papers will appear in COMSNETS 2018 proceedings.
|Paper Submission||30th October 2017|
|Notification of Acceptance||2nd December 2017|
|Camera-ready Submission||15th December 2017|
|Workshop Date||7th January 2018|
Srikantha Bedathur, IBM Research, India
Sanjukta Bhowmick, University of Nebraska, USA
Tanmoy Chakraborty, University of Maryland, USA
Joydeep Chandra, IIT Patna, India
Niyati Chhaya, Adobe Research, India
Monojit Choudhury, Microsoft Research India
Sourav Dandapat , IIT Patna, India
Lipika Dey, TCS Innovation Labs, Kolkata
Sourav Dutta, Bell Labs, Ireland
Niloy Ganguly, IIT Kharagpur, India
Saptarshi Ghosh, IIT Kharagpur, India
Kripabandhu Ghosh, IIT Kanpur, India
Pawan Goyal, IIT Kharagpur, India
Paramita Mirza, MPI for Informatics, Germany
Bivas Mitra, IIT Kharagpur, India
Animesh Mukherjee, IIT Kharagpur, India
Maya Ramanath, IIT Delhi, India
Sudipta Saha, IIT Bhubaneswar, India
Ritwik Sinha, Adobe Research, India
Jannik Stroetgen, MPI for Informatics, Germany
Vasudeva Varma, IIIT Hyderabad, India
Balaji Vasan Srinivasan, Adobe Research, India
Andrew Yates, MPI for Informatics, Germany