10th International Workshop on Modeling Social Media: Mining, Modeling and Learning from Social Media (MSM'2019)
We are pleased to announce the 10th International Workshop on Modeling Social Media: Mining, Modeling and Learning from Social Media (MSM'2019)
co-located with the TheWebConf 2019, May 13, 2019, San Francisco, USA.
Submission deadline: Jan
10 24, 2019 (23:59 AoE Time) [extended].
We aim to attract researchers from all over the world working on data mining, modeling and using machine learning and AI for social media, big and small data, sensor data and the web. Social networks such as Facebook, Twitter, and LinkedIn have paved the way for generating huge amount of diverse, streaming bit data in a short period of time. Such social media data require the application of big data analytics to produce meaningful information to both information consumers and data generators. Machine learning and AI techniques are particularly effective in situations where deep and predictive insights need to be uncovered from such social media data sets that are large, diverse and fast changing. Following the discussion at our workshop at TheWebConf 2018, we aim to focus on how to apply data mining, recommendation, machine learning and AI models, algorithms and systems for analytic and predictive modeling on social media, big data, small data, web and sensor data. Contrary to last year’s workshop, we would like to particularly invite researchers that are interested in going beyond standard analytics approaches and try to discover the intelligent information hidden in the large and fast-changing social media data.
Overall, we are interested in receiving papers related to the following topics which include but are not limited to:
- Predictive analytics methods or frameworks for social media, big data, small data, sensor data and the web
- AI, machine learning, deep learning and NLP models, algorithms and systems for social media, big data, small data, sensor data and the web
- deep learning approaches and models for social media, big data, small data, sensor data and data from/on the web
- data mining techniques and algorithms for social media, big data, small data, sensor data and data from/on the web
- methods for learning social activities and behavioral analytic metrics
- evaluation of machine learning and AI frameworks and metrics
- explainability and transparency of the machine learning/deep learning/AI methods
- applications of machine learning, deep learning and AI
- applications of any of the above methods and technologies
The goal of this workshop is to use data mining, machine learning and AI approaches and algorithms on social media, big data, small data, sensor data and data from/on the web.
Submissions: We solicit full research papers (4-8 pages), and short
papers (1-4 pages) both in the ACM conference paper style.
Papers should be submitted in EasyChair to
Program (Keynote & Accepted Papers)
Keynote: Lada Adamic (Facebook)
Title: The structure and dynamics of college networks
Lada Adamic leads the Computational Social Science Team at Facebook. Prior to joining Facebook she was an associate professor at the University of Michigan's School of Information and Center for the Study of Complex Systems. Her research interests center on information dynamics in networks. She has received an NSF CAREER award, a University of Michigan Henry Russell award, the 2012 Lagrange Prize in Complex Systems. Link: Website
- Makan Arastuie and Kevin S. Xu. Personalized Degrees: Effects on Link Formation in Dynamic Networks from an Egocentric Perspective
- Alberto Purpura, Chiara Masiero, Gianmaria Silvello and Gian Antonio Susto. Supervised Lexicon Extraction for Emotion Classification
- Zizhu Zhang, Weiliang Zhao, Jian Yang, Cecile Paris and Surya Nepal. Learning Influence Probabilities and Modelling Influence Diffusion in Twitter
- Adele Lu Jia, Xiaoxue Shen, Siqi Shen, Yongquan Fu and Liwen Peng. User Donations in a User Generated Video System
- Soumajyoti Sarkar, Hamidreza Alvari and Paulo Shakarian. Leveraging Motifs to Model the Temporal Dynamics of Diffusion Networks
- Martin Atzmueller. Towards Model-based Anomalous Link Pattern Mining on Feature-Rich Social Interaction Networks
- Ke Li, Bin Guo, Qiuyun Zhang, Jianping Yuan and Zhiwen Yu. CrowdGuard: Characterization and Early Detection of Collective Content Polluters in Online Social Networks
- Alessia Antelmi, Delfina Malandrino and Vittorio Scarano. Characterizing the Behavioral Evolution of Twitter Users and The Truth Behind the 90-9-1 Rule
- Johannes Beck, Roberta Huang, David Lindner, Tian Guo, Zhang Ce, Dirk Helbing and Nino Antulov-Fantulin. Sensing Social Media Signals for Cryptocurrency News
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 8 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:
Contributions will be included in the Companion volume of TheWebConf 2019
conference, which will be published by ACM and included
in the ACM Digital Library. However, to make that happen at least one author of the accepted paper has to register. At the time of submission of the final
camera-ready copy, authors will have to indicate the already
registered person for that publication.
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 TheWebConf submission, whether the published paper was in a
conference, journal, or workshop. Therefore, any paper previously
published as part of a WWW or TheWebConf workshop must be referenced and suitably
extended with new content to qualify as a new submission to the
Research Track at TheWebConf conference.
- Submission Deadline: Jan
10 24, 2019 (23:59 AoE Time) [extended]
- Notification of Acceptance: Feb
14 20, 2019 [extended]
- Camera-Ready Versions Due: Mar 3, 2019
- Workshop date: May 13, 2019
- Martin Atzmueller (Tilburg University, The Netherlands)
- Alvin Chin (BMW, USA)
- Christoph Trattner (University of Bergen, Norway)
- Alejandro Bellogin, Universidad Autonoma de Madrid, Spain
- Javier Luis Canovas Izquierdo, IN3 - UOC, Spain
- Michelangelo Ceci, Universita degli Studi di Bari, Italy
- Michael Granitzer, University of Passau, Germany
- Bin Guo, Institut Telecom Sud Paris, France
- Eelco Herder, Radboud University, Netherlands
- Geert-Jan Houben, Delft University of Technology, Netherlands
- Ralf Klamma, RWTH Aachen University, Germany
- Bart Knijnenburg, Clemson University, USA
- Dominik Kowald, Know-Center, Austria
- Florian Lemmerich, RWTH Aachen, Germany
- Nico Piatkowski, AI Group, TU Dortmund, Germany
- Haggai Roitman, IBM Research Haifa, Israel
- Giancarlo Ruffo, Universita di Torino, Italy
- Marc Smith, Connected Action Consulting Group, USA
- Longqi Yang, Cornell University, USA
- Arkaitz Zubiaga, The University of Warwick, UK
The workshop is co-located with the TheWebConf 2019 which will be taking place in San Francisco, California. The conference's main venue is the Hyatt Regency San Francisco hotel.
The Hyatt Regency is located at 5 Embarcadero Center, just a short walk from the historic Ferry Building and San Francisco's beautiful waterfront.
If you have questions regarding the workshop, do not hesitate to contact the workshop chairs.
- Martin Atzmueller, Tilburg University, Netherlands; email@example.com
- Alvin Chin, BMW Group, USA; firstname.lastname@example.org
- Christoph Trattner, University of Bergen, Norway; email@example.com
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