Dear All,
We are pleased to announce the availability of Call for Papers for Smart
World Congress (Smart World 2016), and we invite novel submissions of
papers on all topics related to computer science theories and corresponding
algorithms/models/applications etc. Accepted papers must contain novel
results. Results can be either theoretical or empirical. Results will be
judged on the degree to which they have been objectively established and/or
their potential for scientific and technological impact.
The International Workshop on Social Media Mining and Analysis (SMMA-2016)
with the IEEE International Conference on Ubiquitous Intelligence and
Computing (UIC 2016)
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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
http://smma2016.weebly.com
Submission Deadline: April 15, 2016 Author Notification: May 6, 2016
Final Manuscript Due: May 20, 2016
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Introduction:
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
studies.
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 submission link:
https://easychair.org/conferences/?conf=swc20160 and
reference link: http://2016swc.sciencesconf.org/resource/page/id/12
The materials presented in the papers should not be published or under
submission elsewhere. Once accepted, the paper will be included into the
IEEE conference proceedings published by IEEE Computer Society Press. At
least one of the authors of any accepted paper is requested to register the
paper at the conference.
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