First International Workshop on Social Data Analytics and Management, co-located with VLDB 2016

Overview 
The First VLDB workshop on Social Data Analytics and Management (SoDAM) will be held on 9th September 2016 in New Delhi, India in conjunction with VLDB 2016.

The workshop aims at disseminating results on database and data mining research and practices that advance the state-of-the-art in analyzing social data resulting from interactions between users and items in the Web.  The definition of social data includes, but is not limited to, data collected from online social network sites, collaborative content sites, e-commerce sites, etc. where users interact with each other and with web-based items such as tweets, movies, photos, videos, e-commerce products, etc. in the form of likes, share, ratings, tags, comments, reviews, etc. 

SoDAM welcomes theoretical, empirical and applied research papers whose approaches are within the scope of databases and closely related areas such as data mining and information retrieval. Special consideration will be given to paper(s) willing to share interesting new datasets for the research community to use and papers(s) presenting novel open problems or new perspectives on database and social computing research.

Topics of Interest  
Topics of interests for the workshop include, but are not limited to:
o Data modeling
o Information extraction
o Data integration and cleaning
o Search and exploration
o Visualization
o Privacy and access control
o Performance and benchmarking

As well as emerging topics that originate from this application domain, such as:
o Crowdsourcing
o Novel algorithms and analysis for understanding social phenomena

News:   ** We are excited to announce that Dr. Mayur Datar (Principal Data Scientist with Flipkart now, Sr. Staff Research Scientist with Google previously) will be the keynote speaker!
                 ** The paper decisions are out! The program has been posted.

Invited Keynote:

Title : Social Data Mining for E-commerce

Abstract: Shopping is an inherently social activity and users heavily rely on social inputs in deciding what to buy and whom to buy from. In this talk, we will outline how social data: tweets, posts, ratings, reviews, interaction logs with e-commerce sites, etc. influences or powers various consumer touch points in an e-commerce app or website. The importance played by social data, and its ability to drive business, makes it prone to fraud and spam. We will also talk about some spam fighting tools we have built in response to these attacks. Also, we will talk about how we sense and shape user perceptions in social media.

Speaker Bio: Dr. Mayur Datar works as a Principal Data Scientist with Flipkart. Prior to Flipkart, he was a Sr. Staff Research Scientist with Google where he worked for almost 12 years, and had enormous impact on various Google products through his research and execution. His research interests are in data mining, algorithms, machine learning and computer science theory. Prior to joining Google, Mayur obtained his doctorate degree in computer science from Stanford University and a Bachelor of Technology degree from I.I.T. Bombay. He was awarded the President of India, Gold Medal for being the most outstanding student of his graduating batch from I.I.T. Bombay. He has published several papers in renowned conferences like SIGMOD, VLDB, KDD, FOCS, SODA, and WWW. He serves on the review committees for these conferences and journals.



Workshop Program
o Date and Time: Friday September 9th
o Time: 9:00 am - 12:30 pm
o Location: Royal 2


9:00am - 9:10am: Opening Remarks

9:10am - 10:10am: Keynote by Dr. Mayur Datar, Flipkart

10:10am - 10:30am: "Measuring User's Susceptibility to Influence in Twitter" - Noura Hassan Elsayed*, Mohamed El-Sharkawi, Neamat E Tazi

10:30am - 11:00am: Coffee Break

11:00am - 11:20am: "Analyzing Community Dynamics In Social Media" - Subhasis Dasgupta, Amarnath Gupta*

11:20am - 11:40am: "A Progressive Query Materialization for Interactive Data Exploration" - Vikram Singh*, S K Jain

11:40am - 12:00pm: "Civique: Using Social Media to Detect Urban Emergencies" - Diptesh Kanojia*, Vishwajeet Kumar, Krithi Ramamithan

12:00pm - 12:20pm: "A System for Identifying and Visualizing Influential Communities" - Md Tamzeed Islam, Bashima Islam, Mohammed Eunus Ali*

12:20pm - 12:30pm: Closing Remarks



Accepted Papers:
1. [pdf] "Measuring User's Susceptibility to Influence in Twitter"
Noura Hassan Elsayed, Mohamed El-Sharkawi, Neamat E Tazi 
Cairo University, Egypt

2. [pdf] "Analyzing Community Dynamics In Social Media"
Subhasis Dasgupta, Amarnath Gupta
UC San Diego, USA

3. [pdf] "A Progressive Query Materialization for Interactive Data Exploration"
Vikram Singh, S K Jain
NIT Kurukshetra, India

4. [pdf] "Civique: Using Social Media to Detect Urban Emergencies"
Diptesh Kanojia, Vishwajeet Kumar, Krithi Ramamithan
IIT Bombay, India

5. [pdf] "A System for Identifying and Visualizing Influential Communities"
Md Tamzeed Islam, Bashima Islam, Mohammed Eunus Ali
BUET, Bangladesh


Workshop Chairs
o Dr, Mahashweta Das (Hewlett Packard Labs)
o Dr. Gautam Das (University of Texas at Arlington)

Program Committee 
o Carlos Castillo, Eurecat (Spain
o Peng CuiTsinghua University (China)
o Vagelis Hristidis, University of California Riverside (USA)
o Theodoros LappasStevens Institute of Technology (USA)
o B. Aditya PrakashVirginia Tech (USA)
o Amrita Saha, IBM Research (India)
o Panayiotis TsaparasUniversity of Ioannina (Greece)
o Saravanan ThirumuruganathanQatar Computing Research Institute (Qatar

Webmaster 
o Azade Nazi, University of Texas at Arlington (USA


Important Dates 
o SubmissionJune 17, 2016  June 24, 2016 (Deadline Extended)
o Notification: June 17, 2016  July 29, 2016
o Camera Ready SubmissionAugust 22, 2016
o
Workshop: 
September 9, 2016

Submission Instructions 
Submissions must be single-blind, must not exceed TEN pages in length (including all references and, if necessary, appendices), must be in PDF format, and must follow the LNCS (Lecture Notes in Computer Science) format (see http://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0l for details). 

Submissions will be handled electronically at: https://cmt3.research.microsoft.com/SODAM2016.

All accepted papers (and their revised extended versions) will be made available in the workshop website.