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The 3rd International Workshop on Social Media Mining and Analysis (SMMA'17)
in Conjunction with the 10th IEEE International Conference on
Cyber, Physical and Social Computing (CPSCom 2017)

21-23 June 2017, Exeter, England, Great Britain

Submission Deadline: March 31, 2017 Author Notification: April 22, 2017
Camera-Ready Due: May 15, 2017
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Introduction:
The emergence of the social network led to the boost of user generated content which consequently gave rise to fields such as data mining and web mining. The social network also gave rise to the new phenomena called social media which empowered the users towards citizen journalism where users can choose to act as content providers instead of more content consumers. The social networking websites such as Facebook, Twitter, LinkedIn, Flickr, and Weibo etc, are a few examples of such empowerment. Furthermore, these social media platforms provide new opportunities to explore the user behaviour which could benefit for various applications related to the 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-2017 is the next edition of SMMA-2016 (Toulouse, France), SMMA-2015 (Liverpool, UK) and aims to discuss the theories and methodologies from different disciplines such as computer science, data mining, machine learning, social network analysis, network science, sociology, and statistics in order to provide conceptual insights on mining social media data.

We invite researchers and practitioners namely from communities of machine learning (or artificial intelligence), information retrieval, data mining, reinforcement learning, big data, data science, deep learning, large-scale database, smart robotics and social network analysis 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 We solicit original, unpublished, and innovative research work on applying any intelligent technologies and methods to all aspects around the theme of this workshop.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 CPSCom-2017, the 10th IEEE International Conference on Cyber, Physical and Social Computing. Topics of interest include, but are not limited to:

+Big data analysis and machine learning

+Robotics with social networks

+Computer vision and natural language processing

+Statistical modeling of large computer networks

+Database technologies

+Social media for citizen journalism

+Communities 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

+Human-computer interaction systems and applications

+Reinforcement learning and deep neural networks

+Other related issues to various applications and case studies

Accepted papers must contain novel results. Contributions 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.

General Chairs:
Shuai Li, University of Cambridge, Great Britain
Fei Hao, Shaanxi Normal University, China
Yu Wu, Zhongnan University of Economics and Law, China

Program Chairs:
Geyong Min, University of Exeter, Great Britain
Daqiang Zhang, Tongji University, China
Bowen Sun, Beijing Institute of Technology, China

Program Committee Members:
Qingcheng Zhang, St. Francis Xavier University, Canada
Zheng Pei, Xihua University, China
Arjumand Younus, National University of Ireland Galway, Ireland
Xiaoliang Chen, Xihua University, China
Safee Ullah Chaudhary, Lahore University of Management Sciences, Pakistan
Pitt X. Dong, BiciTech, China
Muhammad Atif Qureshi, Insight-Centre (UCD), Ireland
Xiaokang Wang, Huazhong University of Science and Technology, China
Khurram Shahzad, University of the Punjab, Pakistan
Shi Cheng, Shaanxi Normal University, China
Don-Wan Choi, Simon Fraser University, Canada
Shengtong Zhong, Norwegian University of Science and Technology, Norway

All papers need to be submitted electronically through Email:
fhao@snnu.edu.cn with PDF manuscript, Email subject:
"SMMA 2017 + paper title". 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:
https://www.ieee.org/conferences_events/conferences/publishing/templates.html

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.

Should you have any other concern feel free to contact:
shuai.li@eng.cam.ac.uk