[robotics-worldwide] [meetings] CFP: International Workshop on Social Media Mining and Analysis (SMMA-2016) in Conjunction with the 13th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2016)

Shuai Li naetio at gmail.com
Mon Jan 18 02:41:46 PST 2016

International Workshop on Social Media Mining and Analysis (SMMA-2016)
in Conjunction with the 13th IEEE International Conference on
Ubiquitous Intelligence and Computing (UIC 2016)
               18-21 July 2016, Toulouse, France


Submission Deadline: April 15, 2016       Author Notification: May 6, 2016
Final Manuscript Due: May 20, 2016

The emergence of social networks has led to a significant production of
user-generated content which consequently gave rise to fields such as
social media analytics and social computing . Social networks also gave
rise to the new phenomena called “social media” which empowered the users
towards citizen journalism or the like where users can choose to act as the
content providers instead of the more traditional content consumers. Social
networking websites such as Facebook, Google+, Twitter, LinkedIn, Flickr,
Weibo and so on  are a few examples of such empowerment. Furthermore, these
social media platforms provide new opportunities to explore  user behavior
which could benefit various applications related to economy, marketing,
education, business, medicine, etc. Social Media Mining is the process of
representing, analyzing, and extracting actionable patterns from
large-scale social media data.

SMMA-2016 is the next edition of SMMA-2015 (Liverpool, UK) and aims to
discuss the theories and methodologies from different disciplines such as
computer science, artificial intelligence, data mining, machine learning,
ubiquitous computing, social network analysis, computational journalism,
network science, sociology, data science, and statistics in order to
provide conceptual insights on mining social media data.

We invite researchers and practitioners from aforementioned communities
to share their ideas, innovations, research achievements and solutions in
fostering the advancement of intelligent data analytics and management of
social media data. We solicit original, unpublished, and innovative
research work on applying any intelligent technologies and methods to all
aspects around the theme of this workshop. The workshop is co-located with
UIC 2016, the 13th IEEE International Conference on Ubiquitous Intelligence
and Computing. Topics of interest include, but are not limited to:

Scope and Topics:
Fundamentals of social computing
Statistical modeling of large networks
Community discovery and analysis in large-scale social networks
Large-scale graph algorithms for social network analysis
Reputation, trust, privacy and security in social networks
Expert systems and decision-making for social media data
Recommendation systems and marketing
Methods for tie strength or link prediction
Methods for extracting and understanding user and group behavior
Crowdsourcing and collective intelligence
Other issues related to various social computing applications and case

General Co-Chairs:
Muhammad Atif Qureshi, Insight-Centre (UCD), Ireland
Fei Hao, Shanxi Agricultural University, China
Shuai Li, University of Insubria, Italy

Program Co-chairs:
Zheng Pei, Xihua University, China
Daqiang Zhang, Tongji University, China

Program Committee Members:
Geyong Min, University of Exeter, UK
Don-Wan Choi, Simon Fraser University, Canada
Arjumand Younus, National University of Ireland Galway, Ireland
Safee Ullah Chaudhary, Lahore University of Management Sciences, Pakistan
Qingcheng Zhang, Dalian University of Technology, China
Xiaoliang Chen, Xihua University, China
Pitt X. Dong, BiciTech, China
Xiaokang Wang, Huazhong University of Science and Technology, China
Khurram Shahzad, University of the Punjab, Pakistan
Yu Wu, Zhongnan University of Economics and Law, China
Shengtong Zhong, Norwegian University of Science and Technology, Norway

All papers need to be submitted electronically through email:
uic2016smma at gmail.com with PDF format. The materials presented in the
papers should not be published or under submission elsewhere. Each paper is
limited to 6 pages including figures and references using IEEE Computer
Society Proceedings Manuscripts style (two columns, single-spaced, 10
fonts). You can confirm the IEEE Computer Society Proceedings Author
Guidelines at the following web page:http://www.computer.org/web/cs-cps/

Once accepted, the paper will be included into the IEEE conference
proceedings published by IEEE Computer Society Press (indexed by EI). At
least one of the authors of any accepted paper is requested to register the
paper at the conference.

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