2013-11-13: The web page for the workshop is now online.
MSM14: Call for Papers

2013-11-15: MSM 2014 now also on

Important dates

Submission deadlines

  • Paper Submission: Tuesday, Jan 14 16, 2014 (23:59 Hawaii Standard Time), extended
  • Acceptance Notification: Tuesday, Feb 4, 2014
  • Paper Final Version Due: Wednesday, Feb 12, 2014
  • Workshop: Apr 8, 2014


In our first workshop on Modeling Social Media (MSM 2010 in Toronto, Canada), we explored various different models of social media ranging from user modeling, hypertext models, software engineering models, sociological models and framework models. In our second workshop (MSM 2011 in Boston, USA), we addressed the user interface aspects of modeling social media. In our third workshop (MSM 2012 in Milwaukee, USA), we looked at the collective intelligence in social media, i.e. making sense of the content and context from social media websites such as Facebook, Twitter, Google+ and Foursquare by analyzing tweets, tags, blog posts, likes, posts and check-ins, in order to create a new knowledge and semantic meaning. Last year’s workshop (MSM 2013 in Paris, France), we discussed about mining, modeling and recommending “things” in social media.
For this workshop, we aim to attract researchers from all over the world working in the field of big data mining and machine learning using web and social media data. Big data is a hot topic in the research community, and we would like to invite researchers in the data and web mining community to lend their expertise to help make understanding of the web and social media that we have out there (e.g. Facebook and Twitter, and browsing web logs).

Topics of Interest

Topics may include, but are not limited to:

  • novel big data mining and analytics methods or frameworks for social media and the web
  • novel approaches for personalization and recommendations
  • novel methods for social structure and community discovery
  • novel methods for tie strength or link prediction
  • novel methods for predicting user behavior
  • novel methods for user modelling and profiling
  • novel methods for big data information visualization
  • privacy and security issues in mining big data from web and social media
  • applications of any of the above methods and technologies

We also encourage submissions which relate research results from other areas to the workshop topics.

Workshop Organizers

  • Alvin Chin, Nokia, Beijing, China
  • Martin Atzmueller, University of Kassel, Kassel, Germany
  • Christoph Trattner, Know-Center, Graz University of Technology, Graz, Austria


  • 9:00-10:15 Session 1 (Chair: Martin Atzmueller)
    • 9:00-9:05 Intro
    • 9:05-9:55 Invited Talk - Ramesh Rangarajan Sarukkai (Google Inc.): YouTube Monetization: Creating User Centric Experiences Using Large Scale Data
      Abstract: Over the last 4 years, YouTube has grown from a viral video sharing site to a platform that fuels a win-win ecosystem for video content creators, advertisers and users. A key driving force behind this successful transformation is building out products/platforms that focus and optimize for the user. In this talk, we will talk about user-centric efforts such as launch of TrueView (or skippable instream), and Dynamic Ad Loads (machine learning system that balances realtime user impact with advertising policies). Leveraging very large amounts of real-time activity data is paramount to successfully building and deploying such user-centric models. We conclude the talk with challenges and opportunities in this important area of real-time user analysis and social modeling.
      Bio:Dr. Ramesh Rangarajan Sarukkai currently heads up the YouTube video monetization platform/formats group at Google, with the charter of delivering exciting and optimal advertising experiences for YouTube on desktop, mobile as well as TV. He also bootstrapped YouTube’s efforts on TV (called YouTube Leanback), in addition to leading the Watch Player team. Prior to this, he was a Director at Yahoo where he drove many initiatives including mobile ads, video/multimedia search and e-commerce. Dr. Sarukkai also presents periodically at various conferences as a keynoter/presenter/panelist (ACM Multimedia Conferences, World Wide Web Conferences, ACM/SPIE Conference on Multimedia Computing & Networking and so on). He has published many papers in leading journals, one book entitled “Foundations on Web Technology” (Kluwer/Springer), holds over 30 patents and has participated in working groups such as W3C. His current interests lie in the confluence of mobile/tv, video, advertising and social.
    • 9:55-10:15 Nathan Kallus: Predicting Crowd Behavior with Big Public Data
  • 10:15-10:30 Coffee break
  • 10:30-12:00 Session 2 (Chair: Christoph Trattner)
    • 10:30-10:50 Martin Atzmueller, Andreas Ernst, Friedrich Krebs, Christoph Scholz and Gerd Stumme: On the Evolution of Social Groups During Coffee Breaks
    • 10:50-11:05 Christoph Scholz, Martin Atzmueller and Gerd Stumme: On the Predictability of Recurring Links in Networks of Face-to-Face Proximity
    • 11:05-11:20 Simon Dooms, Toon De Pessemier and Luc Martens: Mining Cross-Domain Rating Datasets from Structured Data on Twitter
    • 11:20-11:40 Cody Buntain and Jennifer Golbeck: Social Roles in Multi-Community Websites
    • 11:40-12:00 Kyoungmin Ryoo and Sue Moon: Inferring User Location In GPS-Level
  • 12:00-12:15 Coffee Break
  • 12:15-13:15 Session 3 (Chair: Martin Atzmueller)
    • 12:15-13:05 Invited Talk - Daniele Quercia (Yahoo Research): The Pursuit of Urban Happiness
      Abstract: Cities are attracting considerable research interest. The agenda behind smart cities is popular among computer scientists and engineers: new monitoring technologies promise to allocate urban resources (e.g., electricity, clean water, car trac) more eciently and, as such, make our cities `smarter'. This talk cov ers a rare counterpoint to that dominant efficiency-driven narrative. It is about recent research on the relationship between happiness and cities: which urban elements make people happy?
      Bio:Daniele Quercia is passionate about mining data to answer multidisciplinary research questions. From urban informatics to personality studies, he is exploring the complex relationship between our offline and online worlds at Yahoo! Labs in Barcelona. His research lies at the intersection of data mining, social computing, urban informatics, computational social science, and web science. His research has been published in leading venues including ICSE, Ubicomp, ICDM, CSCW, RecSys, WSDM, and WWW, received honorable mentions from AAAI ICWSM, and has been featured on La Repubblica, The Independent, New Scientist, Le Monde, and BBC. He spoke at TEDx Barcelona and Falling Walls Berlin, and recently wrote for BBC Future. Previously, he was a Horizon senior researcher at The Computer Laboratory of the University of Cambridge. Before starting to work in Cambridge (UK), he lived in Cambridge (USA) where he was Postdoctoral Associate at MIT and worked on social networks in a city context. Before joining MIT, Daniele received his PhD from UC London, and his thesis was nominated for BCS Best British PhD dissertation in Computer Science.
    • 13:05-13:15 Discussion & Closing

Program Committee

  • Alejandro Bellogin, Universidad Autonoma de Madrid, Spain
  • Shlomo Berkovsky, NICTA, Australia
  • Robin Burke, de Paul, USA
  • Javier Luis Canovas, Izquierdo, INRIA, France
  • Polo Chau, Georgia Tech, USA
  • Guanling Chen, University of Massachussetts – Lowell, USA
  • Padraig Cunningham, University College Dublin, Ireland
  • Daniel Gayo-Avello, University of Oviedo, Spain
  • Michael Granitzer, University of Passau, Germany
  • Ido Guy, IBM Research, Israel
  • Eelco Herder, L3S, Germany
  • Andreas Hotho, University of Wuerzburg
  • Geert-Jan Houben, TU-Delft, Netherlands
  • Elisabeth Lex, Know-Center, Austria
  • Kris Jack, Mendeley, UK
  • Ralf Klamma, RWTH Aachen, Germany
  • Thomas Kannampallil, University of Texas, USA
  • Else Nygren, Uppsala University, Sweden
  • Denis Parra, PUC, Chile
  • Haggai Roitman, IBM Research, Israel
  • James She, Hong Kong University of Science and Technology, Hong Kong
  • Christoph Scholz, University of Kassel, Germany
  • Marc Smith, ConnectedAction, USA
  • Zhiyong Yu, Institut Telecom Sud de Paris, France
  • Shengdong Zhao, National University of Singapore, Singapore
  • Arkaitz Zubiaga, New York City University, USA

Submission and Proceedings

Proceedings: We intend to include the publications in the ACM WWW Conference Proceedings and provide them to the attendees of the conference on a USB stick.

Any paper published by the ACM, IEEE, etc. which can be properly cited constitutes research which must be considered in judging the novelty of a WWW submission, whether the published paper was in a conference, journal, or workshop. Therefore, any paper previously published as part of a WWW workshop must be referenced and suitably extended with new content to qualify as a new submission to the Research Track at the WWW conference.

Submissions: We solicit short position papers (1-2 pages) and peer-reviewed short/long research papers (up to 6 pages) in the ACM conference paper style.

Guidelines: All submitted papers must:

  • be written in English;
  • contain author names, affiliations, and email addresses;
  • be formatted according to the ACM SIG Proceedings template( with a font size no smaller than 9pt;
  • be in PDF (make sure that the PDF can be viewed on any platform), and formatted for US Letter size;
  • occupy no more than six pages, including the abstract, references, and appendices.
It is the authors’ responsibility to ensure that their submissions adhere strictly to the required format. Submissions that do not comply with the above guidelines may be rejected without review.
All submissions must be entered into the reviewing system.

At least one author of an accepted paper needs to register for WWW 2014, and needs to present the paper at the MSM 2014 workshop, in order to have the paper included in the ACM digital library.