[visionlist] Call for Exceptional Papers for SMMA 2017 - Exeter, England (Deadline: Mar 22)

[Shuai Li]

Dear All,

We are pleased to announce the availability of Call for Exceptional
Papers for Social Media Mining and Analysis (SMMA'17), and we
invite submissions of papers on all topics related to computer
science theories, algorithms, and 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 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

http://smma2017.weebly.com

Submission Deadline: March 22, 2017       Author Notification: April 22,
2017
Final Manuscript Due: May 15, 2017
=================================================

Introduction:
The emergence of 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 economy,
marketing, education, business, medicine, etc. Social Media Mining is the
process of representing, analysing, 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, 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:

+Fundamental theories of machine learning and big data analysis

+Statistical modelling of large computer networks

+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 behaviour

+Crowdsourcing and collective intelligence

+Human-computer interaction systems and applications

+Other issues related to various social computing applications and case
studies.

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

Program Chairs:
Geyong Min, University of Exeter, UK
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 at 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 at eng.cam.ac.uk
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