Sixth Social Networking Workshop at COMSNETS
Workshop Date: Friday, 11 January 2019
Social networking has changed the way people communicate. Today, Online social networks (OSNs) have widely varying applications, including supporting information and resource sharing, aiding discovery of globally dispersed individuals, enabling measurement of research impact, and so on. Several novel applications, different 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, the special theme for the workshop is “Social Media and Health”. Web and social media analytics have long been used to monitor, study, and perform interventions in the health domain. Traditional usage includes tracking spread of diseases and epidemics, such as Zika and Ebola. In recent years, social media is being used in many novel healthcare applications, ranging from detection of non-communicable diseases (e.g., substance abuse, depression), to studying the demographics of affected population, to tracking spread of health-related misinformation through social media. Healthcare authorities and practitioners are increasingly turning to social media to promote awareness, encourage patient engagement, and increase the spread of accurate health related information. This year's workshop invites original research on topics related to this theme, and will attempt to assemble thought leaders on the theme, 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. Our 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:
- Health analytics in social media
- Automatic discovery and analysis of Web-based social networks
- Visualization of social networks
- Link topology and site hierarchy in social networks
- Security, privacy and trust analysis in social networks
- Web-based cooperative work and social intelligence
- Formation and support of knowledge communities
- Social network evolution and growth mechanisms
- Information diffusion and knowledge transfer in social networks
- Epidemics and rumours in social networks
- Community question-answering
- Anomaly and outlier detection in social networks
- Multiplex and interdependent social networks
- Computational models and agent-based simulations of social networks
- High-dimensional social network analytics
- Big data techniques for social networks
- Game-theoretic strategies for social networks
- Temporal and spatial social networks
- HCI for social media
- Credibility analysis of social media content
- Submissions must be original work not under review at any other workshop, conference, or journal.
- Submissions must not exceed 6 pages (and not be less than 3 pages) in the IEEE conference proceedings format, including all figures, tables, and references. Submissions must strictly follow the formatting guidelines as given on IEEE Website (two-column format).
- Submission must be in English, and in PDF format.
- Reviews will be single-blind: authors' names and affiliations should be included in the submission.
- At least one author of every accepted paper should register for the conference and attend the workshop to present the research.
All accepted workshop papers will appear in COMSNETS 2019 proceedings, and submitted to the IEEE Xplore Digital Library.
- Create an account and login to EDAS: https://edas.info/
- Go to the EDAS new paper submission page for the workshop: http://edas.info/N25122
- Enter your paper's title and abstract, check the box to add yourself as an author, and click on submit.
- Add your co-authors and upload the paper pdf on the next screen.
- Papers not adhering to style and length guidelines, and not in US Letter Size PDF, will be rejected without review.
- Please contact the workshop chairs Rishiraj Saha Roy and Saptarshi Ghosh in case of any issues.
|Notification of Acceptance||30th November 2018|
|Camera-ready Submission||14th December 2018|
|Workshop Date||11th January 2019|
All deadlines are with respect to the AoE (Anywhere on Earth) time zone.
Title: Understanding Patterns of Awareness -- Towards a Social Media Analytics Experiment for HIV/AIDS and Treatment.
Abstract: Awareness is an estimate of the assertion that a person or a group of people ``know about'' a topic sufficiently well to act upon it. In the case of a communicable disease, it is extremely important for an at-risk population to be aware of the disease, its risk factors, options for its prevention and treatment, and hopefully, to take measures to avoid contracting the disease. Is it, however, possible to estimate the level of awareness of a population toward a disease? Can social media be analyzed to make such an estimation?
this talk, we describe a data acquisition, storage and analysis platform called AWESOME where we investigate the above question in the light of HIV/AIDS. The platform is designed to accept real-time tweets and shred them into an analytical polystore. A suite of cross-data-model conversation analysis strategies is being employed to discover the conversation topics as well as the subpopulation of participants, and how they change over time. The talk with illustrate some invetigative search strategies conducted with AWESOME that will uncover interesting patterns of HIV and PrEP awareness. It will also discuss some open challenges with the problem of awareness understanding and why they are important to improve the quality of awareness estimation.
Bio: Amarnath Gupta is a Research Scientist at the San Diego Supercomputer Center and an Affiliate Faculty of Computer Science and Engineering and at the Halicioğlu Data Science Institute at University of California San Diego. His research interests include large-scale data management, knowledge engineering, graph analytics, information integration and polystore systems for heterogeneous analytics. He is actively involved in interdisciplinary research applying data management research to problems in biomedical science, political science, health informatics and legal applications. Dr. Gupta received a B.Tech. degree in Mechanical Engineering, an M.S. degree in Biomedical Engineering and his Ph.D. (Engineering) in Computer Science.
Title: Frauds and Crimes in Online Social Network: A Review.
Abstract: With the widespread use of computers, communications infrastructure, and the Internet, online social networks (OSN) have gained a huge popularity in recent years. Unfortunately, the very nature and popularity of OSN have brought about its own share of frauds and misuse. Frauds and crimes in OSN refer to activities that result in fear, harassment, loss of money, loss of reputation of a person or an entity, loss of trust in the system or an individual, etc. Due to the complex structure, and information flow in OSN, as well as the relative anonymity of the identity, detection, control and prevention of frauds and crimes in OSN is difficult, time-consuming, error-prone and demands an unusually high level of technical finesse from the investigators. In this talk, we begin with a simple typology of OSN frauds and crimes and then follow up by describing in detail the nature of each fraud / crime and by reviewing some of the state-of-the-art research done so far (mostly in machine learning, data mining, and text mining) to detect them. Where possible, we stress on the scale and impact of these frauds. We identify manipulation of identities and diffusion of misinformation as two important aspects in the modus operandi of most types of OSN frauds and crimes. We identify manipulation of identities and diffusion of misinformation as two important aspects in the modus operandi of most types of OSN frauds and crimes.
Bio: Girish Keshav Palshikar obtained an M.Sc. (Physics) from Indian Institute of Technology, Bombay in 1985 and an M.S. (Computer Science and Engineering) from Indian Institute of Technology, Madras in Jan. 1988. Since 1992, he is working in TCS Research, TRDDC, Pune, India, where he is now a principal scientist and leads the Machine Learning R&D Group. In 2012, he was honoured with the title of TCS Distinguished Scientist. TCS Research is the R&D organization within Tata Consultancy Services Limited - a premier software company in India with ~350,000 employees and the annual revenues of USD16.5 billion in 2015-2016. Girish has ~120 publications in international journals and conferences. He is also a visiting lecturer at the Computer Science Department of University of Pune and Government College of Engineering, Pune (GCOEP). His areas of research include machine learning, data mining, text mining, natural language processing and their applications to various domains, including fraud detection and human resource management. Soft copies of his papers and presentations are available at https://sites.google.com/sites/girishpalshikar.
Title: Investigating the drivers behind spreading of drug abuse contents over Twitter.
Abstract: Prescription drug abuse is a fast-growing menace that is affecting a large section of youths across several societies. Reported casualties of prescription drug abuse are increasing steadily every year. However, tweets sharing positive experiences about drug abuse are also gaining volume rapidly. Although it is not established whether such communications play a direct role in the spread of drug abuse, however, based on models like uses and gratification theory and health communication media choice, it can be argued that such discussions would provide a communication channel that drug abusers can readily use to fulfill their communication needs. Consequently, such discussions would steadily volume up as social advertisements that would tend to glorify drug abuse behavior, aggravating the problem further. Hence it becomes necessary to investigate how social media is playing a role in promoting the drug menace.
In this talk, we initially discuss methods to unravel the underlying social network of the users who engage in the spread of drug abuse contents over Twitter. We subsequently investigate the characteristics of the network and the users participating in these networks to understand the dynamics of the spread of these contents and discover the major players who contribute to such spread. Finally, we discuss ways to study the variation in engagement pattern of the users with respect to different drug names that are being widely abused.
Bio: Joydeep Chandra is an Assistant Professor in the Department of Computer Science and Engineering at Indian Institute of Technology Patna, India. He received his PhD from Indian Institute of Technology, Kharagpur, India in 2012. He was also a research fellow at the Chair of Systems Design at ETH Zurich. His current research interest includes mining social media, modeling of social networks, studying diffusion of information and identifying influentials. The application domains that he works include Journalism, Disaster, Healthcare and Crimes on the Web. More details about him can be found at http://www.iitp.ac.in/~joydeep.
- Oana Balalau, MPI for Informatics, Germany
- Parantapa Bhattacharya, Virginia Tech, USA
- Sanjukta Bhowmick, University of Nebraska at Omaha, USA
- Tanmoy Chakraborty, IIIT Delhi, India
- Joydeep Chandra, IIT Patna, India
- Niyati Chhaya, Adobe Research, India
- Monojit Choudhury, Microsoft Research, India
- Abir De, MPI for Software Systems, Germany
- Sourav Dutta, Bell Labs, Ireland
- Kripabandhu Ghosh, IIT Kanpur, India
- Pawan Goyal, IIT Kharagpur, India
- Rajib Ranjan Maiti, Singapore University of Technology and Design, Singapore
- Suman Kalyan Maity, Northwestern University, USA
- Paramita Mirza, MPI for Informatics, Germany
- Bivas Mitra, IIT Kharagpur, India
- Mainack Mondal, University of Chicago, USA
- Koustav Rudra, Northwestern University, USA
- Mithileysh Sathiyanarayanan, Red Sift-R&D and City, University of London, UK
- Sandipan Sikdar, RWTH Aachen, Germany
- Moumita Sinha, Adobe Research, USA
- Ritwik Sinha, Adobe Research, USA
- Balaji Vasan Srinivasan, Adobe Research, India
- Jannik Stroetgen, Bosch Research, Germany
- Erisa Terolli, MPI for Informatics, Germany
- Andrew Yates, MPI for Informatics, Germany
Sixth Social Networking Workshop at COMSNETS
If you have any questions, please contact the workshop chairs: Rishiraj Saha Roy (rishiraj [at] mpi-inf [dot] mpg [dot] de) and Saptarshi Ghosh (saptarshi [at] cse [dot] iitkgp [dot] ac [dot] in).