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)
Date2016-07-18 - 2016-07-21
Deadline2016-04-15
VenueToulouse, France
KeywordsArtificial intelligence; Machine learning; Data mining
Websitehttps://smma2016.weebly.com
Topics/Call fo Papers
CALL FOR PAPERS
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
===
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 We solicit original, unpublished, and innovative research work on applying any intelligent technologies and methods to all aspects around the theme of this workshop.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 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.
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
===
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 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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Last modified: 2016-01-19 14:46:44