-------- Weitergeleitete Nachricht --------
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*Submission Deadline: Dec 22, 2015 (23:59 Hawaii Standard Time)*
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** Please forward to anyone who might be interested **
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2nd CALL FOR PAPERS
7th International Workshop on Modeling Social Media (MSM'2016)
Behavioral Analytics on the Web
to be held on April 12, 2016, Montreal, Canada
co-located with ACM WWW 2016
http://www.kde.cs.uni-kassel.de/ws/msm2016/
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Important Dates:
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** Submission Deadline: Dec 22, 2015 (23:59 Hawaii Standard Time)
** Notification of Acceptance: Feb 2, 2016
** Camera-Ready Versions Due: Feb 8, 2016
** Workshop date: April 12, 2016
Workshop Organizers:
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Martin Atzmueller, University of Kassel, Germany:
atzmueller@cs.uni-kassel.de
Alvin Chin, BMW Group, USA: alvin.chin@bmwna.com
Christoph Trattner, Know-Center, Austria: trattner.christoph@gmail.com
For the 7th International Workshop on Modeling Social Media, we aim
to attract researchers from all over the world working in the field
of behavioral analytics using web and social media data.
Behavioral analytics is an important topic, e.g., concerning web
applications as well as extensions in mobile and ubiquitous
applications, for understanding user behavior. We would also like
to invite researchers in the data and web mining community to lend
their expertise to help to increase our understanding of the web
and social media.
Thus, we invite submissions which may include the following topics,
but are not limited to:
* Behavioral analytics methods or frameworks for social media,
big data and the web
* Approaches for personalization and recommendations
* Methods for social structure and community discovery
* Methods for tie strength or link prediction
* Methods for extracting and understanding user and group behavior
* Methods for predicting user behavior
* Methods for user modelling and profiling
* Applications of behavioural analytics
* Privacy and security in behavioural analytics
* Applications of any of the above methods and technologies
The goal of this workshop is to apply behavioral analytics approaches
and algorithms on social media, big data and the web.
Hence, the workshop aims to attract and discuss various novel aspects
of personalization, recommendation, community discovery, profiling
and prediction from social media.
Submissions: We solicit full research papers (4-6 pages), and short
papers (1-4 pages) both in the ACM conference paper style.
Papers should be submitted in EasyChair to
https://www.easychair.org/conferences/?conf=msm2016
Program Committee:
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TBA
Proceedings:
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Contributions will be included in the Companion volume of the ACM
WWW2016 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 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.
Submission 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
(http://www.acm.org/sigs/publications/proceedings-templates)
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:
https://www.easychair.org/conferences/?conf=msm2016
Contact:
========
Martin Atzmueller - atzmueller@cs.uni-kassel.de
Alvin Chin - alvin.chin@bmwna.com
Christoph Trattner - trattner.christoph@gmail.com
Follow us on:
=============
Facebook https://www.facebook.com/groups/527164050627185/
Twitter https://twitter.com/msm_workshop
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PD Dr. Martin Atzmueller
Head of the Ubiquitous Data Mining Team
Hertie Chair for Knowledge and Data Engineering
University of Kassel, Wilhelmshöher Allee 73, 34121 Kassel, Germany
Email: atzmueller@cs.uni-kassel.de | Tel.: +49-(0)561-804-6298
Check out our tools and systems:
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UBICON - A Smart Platform for Ubiquitous Social Computing - Open Source
http://ubicon.eu http://code.ubicon.eu
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VIKAMINE - Open Source Subgroup Discovery, Pattern Mining and Analytics
http://vikamine.org
*New book: Mining, Modeling, and Recommending 'Things' in Social Media*
by M. Atzmueller, A. Chin, C. Scholz, C. Trattner (eds.)
http://link.springer.com/978-3-319-14723-9
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