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

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


Submission Deadline: March 22, 2017       Author Notification: April 22, 2017

Final Manuscript Due: May 15, 2017     



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@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: 


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: 



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